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  1. .gitattributes +430 -0
  2. ILSVRC2012_devkit_t12/COPYING +26 -0
  3. ILSVRC2012_devkit_t12/data/ILSVRC2012_validation_ground_truth.txt +0 -0
  4. ILSVRC2012_devkit_t12/data/meta.mat +3 -0
  5. ILSVRC2012_devkit_t12/evaluation/VOCreadrecxml.m +111 -0
  6. ILSVRC2012_devkit_t12/evaluation/VOCreadxml.m +10 -0
  7. ILSVRC2012_devkit_t12/evaluation/VOCxml2struct.m +90 -0
  8. ILSVRC2012_devkit_t12/evaluation/compute_overlap.m +22 -0
  9. ILSVRC2012_devkit_t12/evaluation/demo.val.pred.det.txt +0 -0
  10. ILSVRC2012_devkit_t12/evaluation/demo.val.pred.txt +0 -0
  11. ILSVRC2012_devkit_t12/evaluation/demo_eval.m +44 -0
  12. ILSVRC2012_devkit_t12/evaluation/eval_flat.m +31 -0
  13. ILSVRC2012_devkit_t12/evaluation/eval_localization_flat.m +55 -0
  14. ILSVRC2012_devkit_t12/evaluation/get_class2node.m +3 -0
  15. ILSVRC2012_devkit_t12/evaluation/make_hash.m +7 -0
  16. ILSVRC2012_devkit_t12/readme.txt +264 -0
  17. VMCBench/VMCBench-9018.jsonl +3 -0
  18. VMCBench/VMCBench_DEV_indices.txt +1000 -0
  19. VMCBench/VMCBench_TEST_indices.txt +8018 -0
  20. classnames.txt +1000 -0
  21. common_classes.txt +930 -0
  22. create_1000_imagenet.py +22 -0
  23. create_close_imagenet.py +105 -0
  24. create_hard_imagenet.py +133 -0
  25. create_hard_imagenetv2.py +176 -0
  26. create_random_imagenet.py +63 -0
  27. dictionary.txt +1000 -0
  28. flickr30k_clip_4.json +0 -0
  29. flickr30k_easy_4.json +0 -0
  30. human_accuracy_annotations.pkl +3 -0
  31. imagenet_close_1000.json +3 -0
  32. imagenet_close_5.json +0 -0
  33. imagenet_hard_5.json +0 -0
  34. imagenet_hierarchy.json +0 -0
  35. imagenet_wnids.txt +1000 -0
  36. inv2_close_1000.json +3 -0
  37. inv2_close_5.json +0 -0
  38. inv2_hard_5.json +0 -0
  39. inv2_mixed_5.json +0 -0
  40. outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-0-of-10.jsonl +615 -0
  41. outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-1-of-10.jsonl +615 -0
  42. outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-2-of-10.jsonl +615 -0
  43. outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-3-of-10.jsonl +615 -0
  44. outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-4-of-10.jsonl +615 -0
  45. outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-5-of-10.jsonl +615 -0
  46. outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-6-of-10.jsonl +615 -0
  47. outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-7-of-10.jsonl +615 -0
  48. outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-8-of-10.jsonl +615 -0
  49. outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-9-of-10.jsonl +614 -0
  50. outputs_final/alternate/molmo-qwen2-clip-pt/food_5_task-0-of-10.jsonl +0 -0
.gitattributes CHANGED
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ILSVRC2012_devkit_t12/COPYING ADDED
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+ Copyright (c) 2012 The ImageNet Project
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+
3
+ Permission is hereby granted, free of charge, to any person
4
+ obtaining a copy of this software and associated documentation
5
+ files (the "Software"), to deal in the Software without
6
+ restriction, including without limitation the rights to use,
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+ copy, modify, merge, publish, distribute, sublicense, and/or sell
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+ copies of the Software, and to permit persons to whom the
9
+ Software is furnished to do so, subject to the following
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+ conditions:
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+
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+ The above copyright notice and this permission notice shall be
13
+ included in all copies or substantial portions of the Software.
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+
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+ Neither name of copyright holders nor the names of its contributors
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+ may be used to endorse or promote products derived from this software
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+ without specific prior written permission.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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+ EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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+ OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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+ NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
23
+ HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
24
+ WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
25
+ FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
26
+ OTHER DEALINGS IN THE SOFTWARE.
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+ function rec = VOCreadrecxml(path,hash)
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+
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+ x=x.annotation;
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+ if p.truncated
60
+ p.label=[p.label 'Trunc'];
61
+ end
62
+ if p.occluded
63
+ p.label=[p.label 'Occ'];
64
+ end
65
+ if p.difficult
66
+ p.label=[p.label 'Diff'];
67
+ end
68
+
69
+ p.orglabel=p.label;
70
+
71
+ p.bbox=str2double({o.bndbox.xmin o.bndbox.ymin o.bndbox.xmax o.bndbox.ymax});
72
+
73
+ p.bndbox.xmin=str2double(o.bndbox.xmin);
74
+ p.bndbox.ymin=str2double(o.bndbox.ymin);
75
+ p.bndbox.xmax=str2double(o.bndbox.xmax);
76
+ p.bndbox.ymax=str2double(o.bndbox.ymax);
77
+
78
+ if isfield(o,'polygon')
79
+ warning('polygon unimplemented');
80
+ p.polygon=[];
81
+ else
82
+ p.polygon=[];
83
+ end
84
+
85
+ if isfield(o,'mask')
86
+ warning('mask unimplemented');
87
+ p.mask=[];
88
+ else
89
+ p.mask=[];
90
+ end
91
+
92
+ if isfield(o,'part')&&~isempty(o.part)
93
+ p.hasparts=true;
94
+ for i=1:length(o.part)
95
+ p.part(i)=xmlobjtopas(o.part(i),hash);
96
+ end
97
+ else
98
+ p.hasparts=false;
99
+ p.part=[];
100
+ end
101
+
102
+ if isfield(o,'actions')
103
+ p.hasactions=true;
104
+ fn=fieldnames(o.actions);
105
+ for i=1:numel(fn)
106
+ p.actions.(fn{i})=strcmp(o.actions.(fn{i}),'1');
107
+ end
108
+ else
109
+ p.hasactions=false;
110
+ p.actions=[];
111
+ end
ILSVRC2012_devkit_t12/evaluation/VOCreadxml.m ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ function rec = VOCreadxml(path)
2
+
3
+ if length(path)>5&&strcmp(path(1:5),'http:')
4
+ xml=urlread(path)';
5
+ else
6
+ f=fopen(path,'r');
7
+ xml=fread(f,'*char')';
8
+ fclose(f);
9
+ end
10
+ rec=VOCxml2struct(xml);
ILSVRC2012_devkit_t12/evaluation/VOCxml2struct.m ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ function res = VOCxml2struct(xml)
2
+
3
+ xml(xml==9|xml==10|xml==13)=[];
4
+
5
+ [res,xml]=parse(xml,1,[]);
6
+
7
+ function [res,ind]=parse(xml,ind,parent)
8
+
9
+ res=[];
10
+ if ~isempty(parent)&&xml(ind)~='<'
11
+ i=findchar(xml,ind,'<');
12
+ res=trim(xml(ind:i-1));
13
+ ind=i;
14
+ [tag,ind]=gettag(xml,i);
15
+ if ~strcmp(tag,['/' parent])
16
+ error('<%s> closed with <%s>',parent,tag);
17
+ end
18
+ else
19
+ while ind<=length(xml)
20
+ [tag,ind]=gettag(xml,ind);
21
+ if strcmp(tag,['/' parent])
22
+ return
23
+ else
24
+ [sub,ind]=parse(xml,ind,tag);
25
+ if isstruct(sub)
26
+ if isfield(res,tag)
27
+ n=length(res.(tag));
28
+ fn=fieldnames(sub);
29
+ for f=1:length(fn)
30
+ res.(tag)(n+1).(fn{f})=sub.(fn{f});
31
+ end
32
+ else
33
+ res.(tag)=sub;
34
+ end
35
+ else
36
+ if isfield(res,tag)
37
+ if ~iscell(res.(tag))
38
+ res.(tag)={res.(tag)};
39
+ end
40
+ res.(tag){end+1}=sub;
41
+ else
42
+ res.(tag)=sub;
43
+ end
44
+ end
45
+ end
46
+ end
47
+ end
48
+
49
+ function i = findchar(str,ind,chr)
50
+
51
+ i=[];
52
+ while ind<=length(str)
53
+ if str(ind)==chr
54
+ i=ind;
55
+ break
56
+ else
57
+ ind=ind+1;
58
+ end
59
+ end
60
+
61
+ function [tag,ind]=gettag(xml,ind)
62
+
63
+ if ind>length(xml)
64
+ tag=[];
65
+ elseif xml(ind)=='<'
66
+ i=findchar(xml,ind,'>');
67
+ if isempty(i)
68
+ error('incomplete tag');
69
+ end
70
+ tag=xml(ind+1:i-1);
71
+ ind=i+1;
72
+ else
73
+ error('expected tag');
74
+ end
75
+
76
+ function s = trim(s)
77
+
78
+ for i=1:numel(s)
79
+ if ~isspace(s(i))
80
+ s=s(i:end);
81
+ break
82
+ end
83
+ end
84
+ for i=numel(s):-1:1
85
+ if ~isspace(s(i))
86
+ s=s(1:i);
87
+ break
88
+ end
89
+ end
90
+
ILSVRC2012_devkit_t12/evaluation/compute_overlap.m ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ function ov_vector = compute_overlap(bb,gt_bbox,gt_label)
2
+ ov_vector = [];
3
+ for j=1:numel(gt_bbox.objects)
4
+ assert( ~isempty(gt_bbox.objects(j).label))
5
+ if( gt_label ~= 1001 && gt_bbox.objects(j).label ~= gt_label )
6
+ continue;
7
+ end
8
+ bbgt = gt_bbox.objects(j).bbox;
9
+ bi=[max(bb(1),bbgt(1)) max(bb(2),bbgt(2)) min(bb(3),bbgt(3)) min(bb(4),bbgt(4))];
10
+ iw=bi(3)-bi(1)+1;
11
+ ih=bi(4)-bi(2)+1;
12
+ ov = -1;
13
+ if iw>0 & ih>0
14
+ % compute overlap as area of intersection / area of union
15
+ ua=(bb(3)-bb(1)+1)*(bb(4)-bb(2)+1)+...
16
+ (bbgt(3)-bbgt(1)+1)*(bbgt(4)-bbgt(2)+1)-...
17
+ iw*ih;
18
+ ov=iw*ih/ua;
19
+ end
20
+ ov_vector = [ ov_vector ov ];
21
+ end
22
+ end
ILSVRC2012_devkit_t12/evaluation/demo.val.pred.det.txt ADDED
The diff for this file is too large to render. See raw diff
 
ILSVRC2012_devkit_t12/evaluation/demo.val.pred.txt ADDED
The diff for this file is too large to render. See raw diff
 
ILSVRC2012_devkit_t12/evaluation/demo_eval.m ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ %this script demos the usage of evaluation routines
2
+ % the result file 'demo.val.pred.txt' on validation data is evaluated
3
+ % against the ground truth
4
+
5
+ meta_file = '../data/meta.mat';
6
+ pred_file='demo.val.pred.txt'
7
+ ground_truth_file='../data/ILSVRC2012_validation_ground_truth.txt'
8
+ num_predictions_per_image=5;
9
+
10
+ load(meta_file);
11
+
12
+ %%% Task 1
13
+ error_flat=zeros(num_predictions_per_image,1);
14
+
15
+ for i=1:num_predictions_per_image
16
+ error_flat(i) = eval_flat(pred_file,ground_truth_file, i);
17
+ end
18
+
19
+ disp('Task 1: # guesses vs flat error');
20
+ disp([(1:num_predictions_per_image)',error_flat]);
21
+
22
+ %% Task 2
23
+ pred_localization_file='demo.val.pred.det.txt'
24
+ ground_truth_file='../data/ILSVRC2012_validation_ground_truth.txt'
25
+ num_val_files = -1;
26
+
27
+ while num_val_files ~= 50000
28
+ if num_val_files ~= -1
29
+ fprintf('That does not seem to be the correct directory. Please try again\n');
30
+ end
31
+ localization_ground_truth_dir=input('Please enter the path to the Validation bounding box annotations directory: ', 's')
32
+ val_files = dir(sprintf('%s/*.xml',localization_ground_truth_dir));
33
+ num_val_files = numel(val_files);
34
+ end
35
+
36
+ error_localization_flat=zeros(num_predictions_per_image,1);
37
+
38
+ for i=1:num_predictions_per_image
39
+ error_localization_flat(i) = eval_localization_flat(pred_localization_file,ground_truth_file,localization_ground_truth_dir,meta_file,i);
40
+ end
41
+
42
+ disp('Task 2: # guesses vs flat error');
43
+ disp([(1:num_predictions_per_image)',error_localization_flat]);
44
+
ILSVRC2012_devkit_t12/evaluation/eval_flat.m ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ function error = eval_flat ( predict_file, gtruth_file, max_num_pred_per_image )
2
+ % Evaluate flat error
3
+ % predict_file: each line is the predicted labels ( must be positive
4
+ % integers, seperated by white spaces ) for one image, sorted by
5
+ % confidence in descending order. The number of labels per line can vary, but not
6
+ % more than max_num_pred_per_image ( extra labels are ignored ).
7
+ % gtruth_file: each line is the ground truth labels, in the same format.
8
+
9
+ pred = dlmread(predict_file);
10
+ gt = dlmread(gtruth_file);
11
+
12
+ if size(pred,2) > max_num_pred_per_image
13
+ pred = pred(:,1:max_num_pred_per_image);
14
+ end
15
+
16
+ assert(size(pred,1)==size(gt,1));
17
+
18
+ pred = [pred, zeros(size(pred,1),1)];
19
+
20
+ c = zeros(size(pred,1),1);
21
+ for j=1:size(gt,2) %for each ground truth label
22
+ x = gt(:,j) * ones(1,size(pred,2));
23
+ c = c + min( x ~= pred, [], 2);
24
+ end
25
+
26
+ n = sum(gt~=0,2);
27
+
28
+ error = sum(c./n)/size(pred,1);
29
+
30
+
31
+
ILSVRC2012_devkit_t12/evaluation/eval_localization_flat.m ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ function labels_error = eval_localization_flat ( predict_file, gtruth_file, gtruth_dir, meta_file, max_num_pred_per_image )
2
+ % Evaluate flat localization error
3
+ % predict_file: each line is the predicted labels ( must be positive
4
+ % integers, seperated by white spaces ) followed by the detected location
5
+ % of that object for one image, sorted by confidence in descending order.
6
+ % <label(1)> <xmin(1)> <ymin(1)> <xmax(1)> <ymax(1)> <label(2)> <xmin(2)> <ymin(2)> <xmax(2)> <ymax(2)> ....
7
+ % The number of labels per line can vary, but not
8
+ % more than max_num_pred_per_image ( extra labels are ignored ).
9
+ % gtruth_file: each line is the ground truth labels, in the same format.
10
+
11
+ pred = dlmread(predict_file);
12
+ gt_labels = dlmread(gtruth_file);
13
+ gt = dir(sprintf('%s/*.xml',gtruth_dir));
14
+ load (meta_file);
15
+ hash = make_hash(synsets);
16
+ n = size(gt_labels,2);
17
+ %% extra labels are ignored
18
+ if size(pred,2) > max_num_pred_per_image*5
19
+ pred = pred(:,1:max_num_pred_per_image*5);
20
+ end
21
+ assert(size(pred,1)==size(gt_labels,1));
22
+ %assert(size(pred,1)==size(gt,1));
23
+ num_guesses = size(pred,2)/5;
24
+
25
+ pred_labels = []; %%zeros(size(pred,1), num_guesses);
26
+ pred_bbox = zeros(size(pred,1), num_guesses, 4);
27
+
28
+ for i=1:5:size(pred,2)
29
+ pred_labels = [ pred_labels, pred(:,i) ];
30
+ for j=1:size(pred,1)
31
+ pred_bbox(j,ceil(i/5),:) = pred(j,i+1:i+4);
32
+ end
33
+ end
34
+
35
+ e = zeros(size(pred_labels,1),1);
36
+ for i=1:size(pred,1)
37
+ filename = gt(i).name;
38
+ rec = VOCreadrecxml(sprintf('%s/%s',gtruth_dir,filename),hash);
39
+ e(i) = 0;
40
+ for k=1:n %% sum
41
+ for j=1:num_guesses %% min
42
+ d_jk = (gt_labels(i,k) ~= pred_labels(i,j));
43
+ if d_jk == 0
44
+ ov_vector = compute_overlap(pred_bbox(i,j,:),rec,gt_labels(i,k));
45
+ f_j = ( ov_vector < 0.50 );
46
+ else
47
+ f_j = 1;
48
+ end
49
+ d_jk = ones(1,numel(f_j)) * d_jk;
50
+ d(i,j) = min( max([f_j;d_jk]) );
51
+ end
52
+ e(i) = e(i) + min(d(i,:)); %% min over j
53
+ end
54
+ end
55
+ labels_error = sum(e./n)/size(pred_labels,1);
ILSVRC2012_devkit_t12/evaluation/get_class2node.m ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ function class_str2node = get_class2node(hash,wnid)
2
+ class_str2node = hash.get(wnid);
3
+ end
ILSVRC2012_devkit_t12/evaluation/make_hash.m ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ function dict = make_hash(synsets)
2
+
3
+ dict = java.util.Hashtable;
4
+ for i = 1:numel(synsets)
5
+ dict.put(synsets(i).WNID, i);
6
+ end
7
+
ILSVRC2012_devkit_t12/readme.txt ADDED
@@ -0,0 +1,264 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ =================================================
2
+ Introduction
3
+ =================================================
4
+
5
+ This is the documentation of the ILSVRC2012 Development Kit.
6
+
7
+ Please contact [email protected] for questions, comments,
8
+ or bug reports.
9
+
10
+
11
+ =================================================
12
+ Data
13
+ =================================================
14
+
15
+ There are three types of image data for this competition: training
16
+ data from ImageNet (TRAINING), validation data specific to this
17
+ competition (VALIDATION), and test data specific to this competition
18
+ (TEST). There is no overlap in the three sources of data: TRAINING,
19
+ VALIDATION, and TEST. All three sets of data contain images of 1000
20
+ categories of objects. The categories correspond 1-1 to a set of 1000
21
+ synsets (sets of synonymous nouns) in WordNet. An image is in a
22
+ particular category X, where X is a noun synset, if the image contains
23
+ an X. See [1] for more details of the collection and
24
+ labeling strategy.
25
+
26
+ The 1000 synsets are selected such that there is no overlap between
27
+ synsets, for any sysnets i and j, i is not an ancestor of j in the
28
+ WordNet hierarchy. We call these synsets "low level synsets".
29
+
30
+ Those 1000 synsets are part of the larger ImageNet hierarchy and we
31
+ can consider the subset of ImageNet containing the 1000 low level
32
+ synsets and all of their ancestors. There are 860 such ancestor
33
+ synsets, which we refer to as "high level synsets". In this hierarchy,
34
+ all the low level synsets are "leaf" nodes and the high level synsets
35
+ are "internal" nodes.
36
+
37
+ Note that the low level synsets may have children in ImageNet, but for
38
+ ILSVRC 2012 we do not consider their child subcategories. The
39
+ hierarchy here can be thought of as a "trimmed" version of the
40
+ complete ImageNet hierarchy.
41
+
42
+ Also note that for this competition, all ground truth labels are low
43
+ level synsets and entries must predict labels corresponding to one of
44
+ the 1000 low level synsets. Predicting high level synsets is not
45
+ considered. There are no additional training images for high level
46
+ synsets.
47
+
48
+ *** Meta Data
49
+
50
+ All information on the synsets is in the 'synsets' array in data/meta.mat.
51
+ To access it in Matlab, type
52
+
53
+ load data/meta.mat;
54
+ synsets
55
+
56
+ and you will see
57
+
58
+ synsets =
59
+
60
+ 1x1 struct array with fields:
61
+ ILSVRC2012_ID
62
+ WNID
63
+ words
64
+ gloss
65
+ num_children
66
+ children
67
+ wordnet_height
68
+ num_train_images
69
+
70
+ Each entry in the struct array corresponds to a synset,i, and contains
71
+ fields:
72
+
73
+ 'ILSVRC2012_ID' is an integer ID assigned to each synset. All the low
74
+ level synsets are assigned to an ID between 1 and 1000. All the high
75
+ level synsets have ID higher than 1000. The synsets are sorted by
76
+ ILSVRC2012_ID in the 'synsets' array, i.e. synsets(i).ILSVRC2012_ID
77
+ == i. For submission of prediction results, ILSVRC2012_ID is used as
78
+ the synset labels.
79
+
80
+ 'WNID' is the WordNet ID of a synset. It is used to uniquely identify
81
+ a synset in ImageNet or WordNet. The tar files for training images
82
+ are named using WNID. Also it is used in naming individual training
83
+ images.
84
+
85
+ 'num_children' is the number of the children in this trimmed
86
+ hierarchy. It is zero for all low level synsets and non-zero for high
87
+ level synsets.
88
+
89
+ 'children' is an vector listing the ILSVRC2012_IDs of child synsets.
90
+
91
+ 'wordnet_height' is the length of the longest path to a leaf node in
92
+ the FULL ImageNet/WordNet hierarchy (leaf nodes in the FULL ImageNet
93
+ hierarchy have wordnet_height zero).
94
+
95
+ The ILSVRC2012_ID of the root of the hierarchy is 1001, the synset
96
+ "entity".
97
+
98
+
99
+ *** Training images
100
+
101
+ There is a tar file for each synset, named by its WNID. The image files are named
102
+ as x_y.JPEG, where x is WNID of the synset and y is an integer (not fixed width and not
103
+ necessarily consecutive). All images are in JPEG format.
104
+
105
+ There are a total of 1281167 images for training. The number of images for each
106
+ synset ranges from 732 to 1300.
107
+
108
+
109
+ *** Validation images
110
+
111
+ There are a total of 50,000 validation images. They are named as
112
+
113
+ ILSVRC2012_val_00000001.JPEG
114
+ ILSVRC2012_val_00000002.JPEG
115
+ ...
116
+ ILSVRC2012_val_00049999.JPEG
117
+ ILSVRC2012_val_00050000.JPEG
118
+
119
+ There are 50 validation images for each synset.
120
+
121
+ The ground truth of the validation images is in
122
+ data/ILSVRC2012_validation_ground_truth.txt,
123
+ where each line contains one ILSVRC2012_ID for one image, in the ascending alphabetical
124
+ order of the image file names.
125
+
126
+
127
+ *** Test images
128
+
129
+ There are a total of 100,000 test images, which will be released separately at a later
130
+ time. The test files are named as
131
+
132
+ ILSVRC2012_test_00000001.JPEG
133
+ ILSVRC2012_test_00000002.JPEG
134
+ ...
135
+ ILSVRC2012_test_00099999.JPEG
136
+ ILSVRC2012_test_00100000.JPEG
137
+
138
+ There are 100 test images for each synset.
139
+
140
+ Ground truth of the test images will not be released during the competition.
141
+
142
+
143
+ *** Bounding Boxes
144
+
145
+ All images in validation and test and at least 100 images in the training set
146
+ have bounding box annotations, in PASCAL VOC format. It can be parsed
147
+ using the PASCAL development toolkit. There's one XML file for each image
148
+ with bounding box annotations. If the image filename is X.JPEG, then the
149
+ bounding box file is named as X.xml.
150
+
151
+ For more information on the bounding box annotations, visit:
152
+
153
+ http://www.image-net.org/download-bboxes
154
+
155
+ If there are multiple instances within an image, every instance
156
+ is guaranteed to have a bounding box.
157
+
158
+ You are free to use bounding boxes in the competition, for both
159
+ the classification task and the localization task.
160
+
161
+ ===============================================================
162
+ Submission and evaluation
163
+ ===============================================================
164
+
165
+ **** Submission format:
166
+
167
+ The 100,000 test images will be in the same format, i.e. from
168
+ ILSVRC2012_test_00000001.JPEG to ILSVRC2012_test_0100000.JPEG.
169
+
170
+ For task 1, submission of results on test data will consist of a
171
+ text file with one line per image, in the alphabetical order of the
172
+ image file names, i.e. from ILSVRC2012_test_00000001.JPEG to
173
+ ILSVRC2012_test_0100000.JPEG. Each line contains the predicted
174
+ labels, i.e. the ILSVRC2012_IDs ( an integer between 1 and 1000 )
175
+ of the predicted categories, sorted by confidence in descending
176
+ order. The number of labels per line can vary but must be no more
177
+ than 5.
178
+
179
+ For task 2, submission is similar to task 1, but in each line,
180
+ each of the predicted labels is followed by the detected location
181
+ of that object sorted by confidence in descending order. It looks
182
+ as follows :
183
+ <label(1)> <xmin(1)> <ymin(1)> <xmax(1)> <ymax(1)> <label(2)> <xmin(2)> <ymin(2)> <xmax(2)> <ymax(2)> ....
184
+
185
+ The number of labels per line can vary, but not more than 5
186
+ ( extra labels are ignored ).
187
+
188
+ Example files on the validation data is
189
+
190
+ ./evaluation/demo.val.pred.txt for Task 1
191
+ ./evaluation/demo.val.pred.det.txt for Task 2
192
+
193
+ **** Evaluation routines
194
+
195
+ The Matlab routines for evaluating the submission for Task 1 are
196
+
197
+ ./evaluation/eval_flat.m
198
+
199
+ and for Task 2
200
+
201
+ ./evaluation/eval_localization_flat.m
202
+
203
+ To see an example of using the routines, start Matlab
204
+ in the 'evaluation' folder and type
205
+ demo_eval;
206
+
207
+ and you will see the following output:
208
+
209
+ pred_file =
210
+
211
+ demo.val.pred.txt
212
+
213
+
214
+ ground_truth_file =
215
+
216
+ ../data/ILSVRC2012_validation_ground_truth.txt
217
+
218
+ Task 1: # guesses vs flat error
219
+ 1.0000 0.9990
220
+ 2.0000 0.9980
221
+ 3.0000 0.9972
222
+ 4.0000 0.9962
223
+ 5.0000 0.9950
224
+
225
+
226
+ pred_localization_file =
227
+
228
+ demo.val.pred.det.txt
229
+
230
+
231
+ ground_truth_file =
232
+
233
+ ../data/ILSVRC2012_validation_ground_truth.txt
234
+
235
+ Please enter the path to the Validation bounding box annotations directory: ~/AnnoVal/val
236
+
237
+ localization_ground_truth_dir =
238
+
239
+ ~/AnnoVal/val
240
+
241
+ Task 2: # guesses vs flat error
242
+ 1.0000 1.0000
243
+ 2.0000 0.9999
244
+ 3.0000 0.9998
245
+ 4.0000 0.9997
246
+ 5.0000 0.9996
247
+
248
+ In this demo, we take top i ( i=1...5) predictions (and ignore the
249
+ rest) from your result file and plot the error as a function
250
+ of the number of guesses.
251
+
252
+ Note that only the error with 5 guesses will be used to determine the
253
+ winner of this competition for each criteria.
254
+
255
+ ** The demo.val.pred.txt used here is a synthetic result
256
+
257
+ ====================================================================
258
+ References
259
+ ====================================================================
260
+
261
+ [1] J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li and L. Fei-Fei, ImageNet:
262
+ A Large-Scale Hierarchical Image Database. IEEE Computer Vision and Pattern
263
+ Recognition (CVPR), 2009.
264
+
VMCBench/VMCBench-9018.jsonl ADDED
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+ oid sha256:bc718f54af0925587b90e5020de1b968c35d1c7ce1d7e1a1a0bbd889d9e1c88a
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+ size 1849488636
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1
+ tench
2
+ goldfish
3
+ great white shark
4
+ tiger shark
5
+ hammerhead shark
6
+ electric ray
7
+ stingray
8
+ rooster
9
+ hen
10
+ ostrich
11
+ brambling
12
+ goldfinch
13
+ house finch
14
+ junco
15
+ indigo bunting
16
+ American robin
17
+ bulbul
18
+ jay
19
+ magpie
20
+ chickadee
21
+ American dipper
22
+ kite (bird of prey)
23
+ bald eagle
24
+ vulture
25
+ great grey owl
26
+ fire salamander
27
+ smooth newt
28
+ newt
29
+ spotted salamander
30
+ axolotl
31
+ American bullfrog
32
+ tree frog
33
+ tailed frog
34
+ loggerhead sea turtle
35
+ leatherback sea turtle
36
+ mud turtle
37
+ terrapin
38
+ box turtle
39
+ banded gecko
40
+ green iguana
41
+ Carolina anole
42
+ desert grassland whiptail lizard
43
+ agama
44
+ frilled-necked lizard
45
+ alligator lizard
46
+ Gila monster
47
+ European green lizard
48
+ chameleon
49
+ Komodo dragon
50
+ Nile crocodile
51
+ American alligator
52
+ triceratops
53
+ worm snake
54
+ ring-necked snake
55
+ eastern hog-nosed snake
56
+ smooth green snake
57
+ kingsnake
58
+ garter snake
59
+ water snake
60
+ vine snake
61
+ night snake
62
+ boa constrictor
63
+ African rock python
64
+ Indian cobra
65
+ green mamba
66
+ sea snake
67
+ Saharan horned viper
68
+ eastern diamondback rattlesnake
69
+ sidewinder rattlesnake
70
+ trilobite
71
+ harvestman
72
+ scorpion
73
+ yellow garden spider
74
+ barn spider
75
+ European garden spider
76
+ southern black widow
77
+ tarantula
78
+ wolf spider
79
+ tick
80
+ centipede
81
+ black grouse
82
+ ptarmigan
83
+ ruffed grouse
84
+ prairie grouse
85
+ peafowl
86
+ quail
87
+ partridge
88
+ african grey parrot
89
+ macaw
90
+ sulphur-crested cockatoo
91
+ lorikeet
92
+ coucal
93
+ bee eater
94
+ hornbill
95
+ hummingbird
96
+ jacamar
97
+ toucan
98
+ duck
99
+ red-breasted merganser
100
+ goose
101
+ black swan
102
+ tusker
103
+ echidna
104
+ platypus
105
+ wallaby
106
+ koala
107
+ wombat
108
+ jellyfish
109
+ sea anemone
110
+ brain coral
111
+ flatworm
112
+ nematode
113
+ conch
114
+ snail
115
+ slug
116
+ sea slug
117
+ chiton
118
+ chambered nautilus
119
+ Dungeness crab
120
+ rock crab
121
+ fiddler crab
122
+ red king crab
123
+ American lobster
124
+ spiny lobster
125
+ crayfish
126
+ hermit crab
127
+ isopod
128
+ white stork
129
+ black stork
130
+ spoonbill
131
+ flamingo
132
+ little blue heron
133
+ great egret
134
+ bittern bird
135
+ crane bird
136
+ limpkin
137
+ common gallinule
138
+ American coot
139
+ bustard
140
+ ruddy turnstone
141
+ dunlin
142
+ common redshank
143
+ dowitcher
144
+ oystercatcher
145
+ pelican
146
+ king penguin
147
+ albatross
148
+ grey whale
149
+ killer whale
150
+ dugong
151
+ sea lion
152
+ Chihuahua
153
+ Japanese Chin
154
+ Maltese
155
+ Pekingese
156
+ Shih Tzu
157
+ King Charles Spaniel
158
+ Papillon
159
+ toy terrier
160
+ Rhodesian Ridgeback
161
+ Afghan Hound
162
+ Basset Hound
163
+ Beagle
164
+ Bloodhound
165
+ Bluetick Coonhound
166
+ Black and Tan Coonhound
167
+ Treeing Walker Coonhound
168
+ English foxhound
169
+ Redbone Coonhound
170
+ borzoi
171
+ Irish Wolfhound
172
+ Italian Greyhound
173
+ Whippet
174
+ Ibizan Hound
175
+ Norwegian Elkhound
176
+ Otterhound
177
+ Saluki
178
+ Scottish Deerhound
179
+ Weimaraner
180
+ Staffordshire Bull Terrier
181
+ American Staffordshire Terrier
182
+ Bedlington Terrier
183
+ Border Terrier
184
+ Kerry Blue Terrier
185
+ Irish Terrier
186
+ Norfolk Terrier
187
+ Norwich Terrier
188
+ Yorkshire Terrier
189
+ Wire Fox Terrier
190
+ Lakeland Terrier
191
+ Sealyham Terrier
192
+ Airedale Terrier
193
+ Cairn Terrier
194
+ Australian Terrier
195
+ Dandie Dinmont Terrier
196
+ Boston Terrier
197
+ Miniature Schnauzer
198
+ Giant Schnauzer
199
+ Standard Schnauzer
200
+ Scottish Terrier
201
+ Tibetan Terrier
202
+ Australian Silky Terrier
203
+ Soft-coated Wheaten Terrier
204
+ West Highland White Terrier
205
+ Lhasa Apso
206
+ Flat-Coated Retriever
207
+ Curly-coated Retriever
208
+ Golden Retriever
209
+ Labrador Retriever
210
+ Chesapeake Bay Retriever
211
+ German Shorthaired Pointer
212
+ Vizsla
213
+ English Setter
214
+ Irish Setter
215
+ Gordon Setter
216
+ Brittany dog
217
+ Clumber Spaniel
218
+ English Springer Spaniel
219
+ Welsh Springer Spaniel
220
+ Cocker Spaniel
221
+ Sussex Spaniel
222
+ Irish Water Spaniel
223
+ Kuvasz
224
+ Schipperke
225
+ Groenendael dog
226
+ Malinois
227
+ Briard
228
+ Australian Kelpie
229
+ Komondor
230
+ Old English Sheepdog
231
+ Shetland Sheepdog
232
+ collie
233
+ Border Collie
234
+ Bouvier des Flandres dog
235
+ Rottweiler
236
+ German Shepherd Dog
237
+ Dobermann
238
+ Miniature Pinscher
239
+ Greater Swiss Mountain Dog
240
+ Bernese Mountain Dog
241
+ Appenzeller Sennenhund
242
+ Entlebucher Sennenhund
243
+ Boxer
244
+ Bullmastiff
245
+ Tibetan Mastiff
246
+ French Bulldog
247
+ Great Dane
248
+ St. Bernard
249
+ husky
250
+ Alaskan Malamute
251
+ Siberian Husky
252
+ Dalmatian
253
+ Affenpinscher
254
+ Basenji
255
+ pug
256
+ Leonberger
257
+ Newfoundland dog
258
+ Great Pyrenees dog
259
+ Samoyed
260
+ Pomeranian
261
+ Chow Chow
262
+ Keeshond
263
+ brussels griffon
264
+ Pembroke Welsh Corgi
265
+ Cardigan Welsh Corgi
266
+ Toy Poodle
267
+ Miniature Poodle
268
+ Standard Poodle
269
+ Mexican hairless dog (xoloitzcuintli)
270
+ grey wolf
271
+ Alaskan tundra wolf
272
+ red wolf or maned wolf
273
+ coyote
274
+ dingo
275
+ dhole
276
+ African wild dog
277
+ hyena
278
+ red fox
279
+ kit fox
280
+ Arctic fox
281
+ grey fox
282
+ tabby cat
283
+ tiger cat
284
+ Persian cat
285
+ Siamese cat
286
+ Egyptian Mau
287
+ cougar
288
+ lynx
289
+ leopard
290
+ snow leopard
291
+ jaguar
292
+ lion
293
+ tiger
294
+ cheetah
295
+ brown bear
296
+ American black bear
297
+ polar bear
298
+ sloth bear
299
+ mongoose
300
+ meerkat
301
+ tiger beetle
302
+ ladybug
303
+ ground beetle
304
+ longhorn beetle
305
+ leaf beetle
306
+ dung beetle
307
+ rhinoceros beetle
308
+ weevil
309
+ fly
310
+ bee
311
+ ant
312
+ grasshopper
313
+ cricket insect
314
+ stick insect
315
+ cockroach
316
+ praying mantis
317
+ cicada
318
+ leafhopper
319
+ lacewing
320
+ dragonfly
321
+ damselfly
322
+ red admiral butterfly
323
+ ringlet butterfly
324
+ monarch butterfly
325
+ small white butterfly
326
+ sulphur butterfly
327
+ gossamer-winged butterfly
328
+ starfish
329
+ sea urchin
330
+ sea cucumber
331
+ cottontail rabbit
332
+ hare
333
+ Angora rabbit
334
+ hamster
335
+ porcupine
336
+ fox squirrel
337
+ marmot
338
+ beaver
339
+ guinea pig
340
+ common sorrel horse
341
+ zebra
342
+ pig
343
+ wild boar
344
+ warthog
345
+ hippopotamus
346
+ ox
347
+ water buffalo
348
+ bison
349
+ ram (adult male sheep)
350
+ bighorn sheep
351
+ Alpine ibex
352
+ hartebeest
353
+ impala (antelope)
354
+ gazelle
355
+ arabian camel
356
+ llama
357
+ weasel
358
+ mink
359
+ European polecat
360
+ black-footed ferret
361
+ otter
362
+ skunk
363
+ badger
364
+ armadillo
365
+ three-toed sloth
366
+ orangutan
367
+ gorilla
368
+ chimpanzee
369
+ gibbon
370
+ siamang
371
+ guenon
372
+ patas monkey
373
+ baboon
374
+ macaque
375
+ langur
376
+ black-and-white colobus
377
+ proboscis monkey
378
+ marmoset
379
+ white-headed capuchin
380
+ howler monkey
381
+ titi monkey
382
+ Geoffroy's spider monkey
383
+ common squirrel monkey
384
+ ring-tailed lemur
385
+ indri
386
+ Asian elephant
387
+ African bush elephant
388
+ red panda
389
+ giant panda
390
+ snoek fish
391
+ eel
392
+ silver salmon
393
+ rock beauty fish
394
+ clownfish
395
+ sturgeon
396
+ gar fish
397
+ lionfish
398
+ pufferfish
399
+ abacus
400
+ abaya
401
+ academic gown
402
+ accordion
403
+ acoustic guitar
404
+ aircraft carrier
405
+ airliner
406
+ airship
407
+ altar
408
+ ambulance
409
+ amphibious vehicle
410
+ analog clock
411
+ apiary
412
+ apron
413
+ trash can
414
+ assault rifle
415
+ backpack
416
+ bakery
417
+ balance beam
418
+ balloon
419
+ ballpoint pen
420
+ Band-Aid
421
+ banjo
422
+ baluster / handrail
423
+ barbell
424
+ barber chair
425
+ barbershop
426
+ barn
427
+ barometer
428
+ barrel
429
+ wheelbarrow
430
+ baseball
431
+ basketball
432
+ bassinet
433
+ bassoon
434
+ swimming cap
435
+ bath towel
436
+ bathtub
437
+ station wagon
438
+ lighthouse
439
+ beaker
440
+ military hat (bearskin or shako)
441
+ beer bottle
442
+ beer glass
443
+ bell tower
444
+ baby bib
445
+ tandem bicycle
446
+ bikini
447
+ ring binder
448
+ binoculars
449
+ birdhouse
450
+ boathouse
451
+ bobsleigh
452
+ bolo tie
453
+ poke bonnet
454
+ bookcase
455
+ bookstore
456
+ bottle cap
457
+ hunting bow
458
+ bow tie
459
+ brass memorial plaque
460
+ bra
461
+ breakwater
462
+ breastplate
463
+ broom
464
+ bucket
465
+ buckle
466
+ bulletproof vest
467
+ high-speed train
468
+ butcher shop
469
+ taxicab
470
+ cauldron
471
+ candle
472
+ cannon
473
+ canoe
474
+ can opener
475
+ cardigan
476
+ car mirror
477
+ carousel
478
+ tool kit
479
+ cardboard box / carton
480
+ car wheel
481
+ automated teller machine
482
+ cassette
483
+ cassette player
484
+ castle
485
+ catamaran
486
+ CD player
487
+ cello
488
+ mobile phone
489
+ chain
490
+ chain-link fence
491
+ chain mail
492
+ chainsaw
493
+ storage chest
494
+ chiffonier
495
+ bell or wind chime
496
+ china cabinet
497
+ Christmas stocking
498
+ church
499
+ movie theater
500
+ cleaver
501
+ cliff dwelling
502
+ cloak
503
+ clogs
504
+ cocktail shaker
505
+ coffee mug
506
+ coffeemaker
507
+ spiral or coil
508
+ combination lock
509
+ computer keyboard
510
+ candy store
511
+ container ship
512
+ convertible
513
+ corkscrew
514
+ cornet
515
+ cowboy boot
516
+ cowboy hat
517
+ cradle
518
+ construction crane
519
+ crash helmet
520
+ crate
521
+ infant bed
522
+ Crock Pot
523
+ croquet ball
524
+ crutch
525
+ cuirass
526
+ dam
527
+ desk
528
+ desktop computer
529
+ rotary dial telephone
530
+ diaper
531
+ digital clock
532
+ digital watch
533
+ dining table
534
+ dishcloth
535
+ dishwasher
536
+ disc brake
537
+ dock
538
+ dog sled
539
+ dome
540
+ doormat
541
+ drilling rig
542
+ drum
543
+ drumstick
544
+ dumbbell
545
+ Dutch oven
546
+ electric fan
547
+ electric guitar
548
+ electric locomotive
549
+ entertainment center
550
+ envelope
551
+ espresso machine
552
+ face powder
553
+ feather boa
554
+ filing cabinet
555
+ fireboat
556
+ fire truck
557
+ fire screen
558
+ flagpole
559
+ flute
560
+ folding chair
561
+ football helmet
562
+ forklift
563
+ fountain
564
+ fountain pen
565
+ four-poster bed
566
+ freight car
567
+ French horn
568
+ frying pan
569
+ fur coat
570
+ garbage truck
571
+ gas mask or respirator
572
+ gas pump
573
+ goblet
574
+ go-kart
575
+ golf ball
576
+ golf cart
577
+ gondola
578
+ gong
579
+ gown
580
+ grand piano
581
+ greenhouse
582
+ radiator grille
583
+ grocery store
584
+ guillotine
585
+ hair clip
586
+ hair spray
587
+ half-track
588
+ hammer
589
+ hamper
590
+ hair dryer
591
+ hand-held computer
592
+ handkerchief
593
+ hard disk drive
594
+ harmonica
595
+ harp
596
+ combine harvester
597
+ hatchet
598
+ holster
599
+ home theater
600
+ honeycomb
601
+ hook
602
+ hoop skirt
603
+ gymnastic horizontal bar
604
+ horse-drawn vehicle
605
+ hourglass
606
+ iPod
607
+ clothes iron
608
+ carved pumpkin
609
+ jeans
610
+ jeep
611
+ T-shirt
612
+ jigsaw puzzle
613
+ rickshaw
614
+ joystick
615
+ kimono
616
+ knee pad
617
+ knot
618
+ lab coat
619
+ ladle
620
+ lampshade
621
+ laptop computer
622
+ lawn mower
623
+ lens cap
624
+ letter opener
625
+ library
626
+ lifeboat
627
+ lighter
628
+ limousine
629
+ ocean liner
630
+ lipstick
631
+ slip-on shoe
632
+ lotion
633
+ music speaker
634
+ loupe magnifying glass
635
+ sawmill
636
+ magnetic compass
637
+ messenger bag
638
+ mailbox
639
+ tights
640
+ one-piece bathing suit
641
+ manhole cover
642
+ maraca
643
+ marimba
644
+ mask
645
+ matchstick
646
+ maypole
647
+ maze
648
+ measuring cup
649
+ medicine cabinet
650
+ megalith
651
+ microphone
652
+ microwave oven
653
+ military uniform
654
+ milk can
655
+ minibus
656
+ miniskirt
657
+ minivan
658
+ missile
659
+ mitten
660
+ mixing bowl
661
+ mobile home
662
+ ford model t
663
+ modem
664
+ monastery
665
+ monitor
666
+ moped
667
+ mortar and pestle
668
+ graduation cap
669
+ mosque
670
+ mosquito net
671
+ vespa
672
+ mountain bike
673
+ tent
674
+ computer mouse
675
+ mousetrap
676
+ moving van
677
+ muzzle
678
+ metal nail
679
+ neck brace
680
+ necklace
681
+ baby pacifier
682
+ notebook computer
683
+ obelisk
684
+ oboe
685
+ ocarina
686
+ odometer
687
+ oil filter
688
+ pipe organ
689
+ oscilloscope
690
+ overskirt
691
+ bullock cart
692
+ oxygen mask
693
+ product packet / packaging
694
+ paddle
695
+ paddle wheel
696
+ padlock
697
+ paintbrush
698
+ pajamas
699
+ palace
700
+ pan flute
701
+ paper towel
702
+ parachute
703
+ parallel bars
704
+ park bench
705
+ parking meter
706
+ railroad car
707
+ patio
708
+ payphone
709
+ pedestal
710
+ pencil case
711
+ pencil sharpener
712
+ perfume
713
+ Petri dish
714
+ photocopier
715
+ plectrum
716
+ Pickelhaube
717
+ picket fence
718
+ pickup truck
719
+ pier
720
+ piggy bank
721
+ pill bottle
722
+ pillow
723
+ ping-pong ball
724
+ pinwheel
725
+ pirate ship
726
+ drink pitcher
727
+ block plane
728
+ planetarium
729
+ plastic bag
730
+ plate rack
731
+ farm plow
732
+ plunger
733
+ Polaroid camera
734
+ pole
735
+ police van
736
+ poncho
737
+ pool table
738
+ soda bottle
739
+ plant pot
740
+ potter's wheel
741
+ power drill
742
+ prayer rug
743
+ printer
744
+ prison
745
+ missile
746
+ projector
747
+ hockey puck
748
+ punching bag
749
+ purse
750
+ quill
751
+ quilt
752
+ race car
753
+ racket
754
+ radiator
755
+ radio
756
+ radio telescope
757
+ rain barrel
758
+ recreational vehicle
759
+ fishing casting reel
760
+ reflex camera
761
+ refrigerator
762
+ remote control
763
+ restaurant
764
+ revolver
765
+ rifle
766
+ rocking chair
767
+ rotisserie
768
+ eraser
769
+ rugby ball
770
+ ruler measuring stick
771
+ sneaker
772
+ safe
773
+ safety pin
774
+ salt shaker
775
+ sandal
776
+ sarong
777
+ saxophone
778
+ scabbard
779
+ weighing scale
780
+ school bus
781
+ schooner
782
+ scoreboard
783
+ CRT monitor
784
+ screw
785
+ screwdriver
786
+ seat belt
787
+ sewing machine
788
+ shield
789
+ shoe store
790
+ shoji screen / room divider
791
+ shopping basket
792
+ shopping cart
793
+ shovel
794
+ shower cap
795
+ shower curtain
796
+ ski
797
+ balaclava ski mask
798
+ sleeping bag
799
+ slide rule
800
+ sliding door
801
+ slot machine
802
+ snorkel
803
+ snowmobile
804
+ snowplow
805
+ soap dispenser
806
+ soccer ball
807
+ sock
808
+ solar thermal collector
809
+ sombrero
810
+ soup bowl
811
+ keyboard space bar
812
+ space heater
813
+ space shuttle
814
+ spatula
815
+ motorboat
816
+ spider web
817
+ spindle
818
+ sports car
819
+ spotlight
820
+ stage
821
+ steam locomotive
822
+ through arch bridge
823
+ steel drum
824
+ stethoscope
825
+ scarf
826
+ stone wall
827
+ stopwatch
828
+ stove
829
+ strainer
830
+ tram
831
+ stretcher
832
+ couch
833
+ stupa
834
+ submarine
835
+ suit
836
+ sundial
837
+ sunglasses
838
+ sunglasses
839
+ sunscreen
840
+ suspension bridge
841
+ mop
842
+ sweatshirt
843
+ swim trunks / shorts
844
+ swing
845
+ electrical switch
846
+ syringe
847
+ table lamp
848
+ tank
849
+ tape player
850
+ teapot
851
+ teddy bear
852
+ television
853
+ tennis ball
854
+ thatched roof
855
+ front curtain
856
+ thimble
857
+ threshing machine
858
+ throne
859
+ tile roof
860
+ toaster
861
+ tobacco shop
862
+ toilet seat
863
+ torch
864
+ totem pole
865
+ tow truck
866
+ toy store
867
+ tractor
868
+ semi-trailer truck
869
+ tray
870
+ trench coat
871
+ tricycle
872
+ trimaran
873
+ tripod
874
+ triumphal arch
875
+ trolleybus
876
+ trombone
877
+ hot tub
878
+ turnstile
879
+ typewriter keyboard
880
+ umbrella
881
+ unicycle
882
+ upright piano
883
+ vacuum cleaner
884
+ vase
885
+ vaulted or arched ceiling
886
+ velvet fabric
887
+ vending machine
888
+ vestment
889
+ viaduct
890
+ violin
891
+ volleyball
892
+ waffle iron
893
+ wall clock
894
+ wallet
895
+ wardrobe
896
+ military aircraft
897
+ sink
898
+ washing machine
899
+ water bottle
900
+ water jug
901
+ water tower
902
+ whiskey jug
903
+ whistle
904
+ hair wig
905
+ window screen
906
+ window shade
907
+ Windsor tie
908
+ wine bottle
909
+ airplane wing
910
+ wok
911
+ wooden spoon
912
+ wool
913
+ split-rail fence
914
+ shipwreck
915
+ sailboat
916
+ yurt
917
+ website
918
+ comic book
919
+ crossword
920
+ traffic or street sign
921
+ traffic light
922
+ dust jacket
923
+ menu
924
+ plate
925
+ guacamole
926
+ consomme
927
+ hot pot
928
+ trifle
929
+ ice cream
930
+ popsicle
931
+ baguette
932
+ bagel
933
+ pretzel
934
+ cheeseburger
935
+ hot dog
936
+ mashed potatoes
937
+ cabbage
938
+ broccoli
939
+ cauliflower
940
+ zucchini
941
+ spaghetti squash
942
+ acorn squash
943
+ butternut squash
944
+ cucumber
945
+ artichoke
946
+ bell pepper
947
+ cardoon
948
+ mushroom
949
+ Granny Smith apple
950
+ strawberry
951
+ orange
952
+ lemon
953
+ fig
954
+ pineapple
955
+ banana
956
+ jackfruit
957
+ cherimoya (custard apple)
958
+ pomegranate
959
+ hay
960
+ carbonara
961
+ chocolate syrup
962
+ dough
963
+ meatloaf
964
+ pizza
965
+ pot pie
966
+ burrito
967
+ red wine
968
+ espresso
969
+ tea cup
970
+ eggnog
971
+ mountain
972
+ bubble
973
+ cliff
974
+ coral reef
975
+ geyser
976
+ lakeshore
977
+ promontory
978
+ sandbar
979
+ beach
980
+ valley
981
+ volcano
982
+ baseball player
983
+ bridegroom
984
+ scuba diver
985
+ rapeseed
986
+ daisy
987
+ yellow lady's slipper
988
+ corn
989
+ acorn
990
+ rose hip
991
+ horse chestnut seed
992
+ coral fungus
993
+ agaric
994
+ gyromitra
995
+ stinkhorn mushroom
996
+ earth star fungus
997
+ hen of the woods mushroom
998
+ bolete
999
+ corn cob
1000
+ toilet paper
common_classes.txt ADDED
@@ -0,0 +1,930 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ tench
2
+ goldfish
3
+ great white shark
4
+ tiger shark
5
+ hammerhead shark
6
+ stingray
7
+ rooster
8
+ hen
9
+ brambling
10
+ goldfinch
11
+ house finch
12
+ indigo bunting
13
+ American robin
14
+ bulbul
15
+ jay
16
+ magpie
17
+ chickadee
18
+ American dipper
19
+ kite (bird of prey)
20
+ vulture
21
+ great grey owl
22
+ fire salamander
23
+ smooth newt
24
+ newt
25
+ spotted salamander
26
+ axolotl
27
+ American bullfrog
28
+ tree frog
29
+ tailed frog
30
+ loggerhead sea turtle
31
+ leatherback sea turtle
32
+ mud turtle
33
+ terrapin
34
+ box turtle
35
+ banded gecko
36
+ green iguana
37
+ Carolina anole
38
+ desert grassland whiptail lizard
39
+ agama
40
+ frilled-necked lizard
41
+ alligator lizard
42
+ Gila monster
43
+ European green lizard
44
+ chameleon
45
+ Komodo dragon
46
+ Nile crocodile
47
+ American alligator
48
+ triceratops
49
+ worm snake
50
+ ring-necked snake
51
+ eastern hog-nosed snake
52
+ smooth green snake
53
+ kingsnake
54
+ garter snake
55
+ water snake
56
+ vine snake
57
+ night snake
58
+ boa constrictor
59
+ African rock python
60
+ Indian cobra
61
+ green mamba
62
+ sea snake
63
+ Saharan horned viper
64
+ eastern diamondback rattlesnake
65
+ sidewinder rattlesnake
66
+ trilobite
67
+ harvestman
68
+ scorpion
69
+ barn spider
70
+ European garden spider
71
+ southern black widow
72
+ tarantula
73
+ wolf spider
74
+ tick
75
+ centipede
76
+ ptarmigan
77
+ ruffed grouse
78
+ prairie grouse
79
+ peafowl
80
+ quail
81
+ partridge
82
+ african grey parrot
83
+ macaw
84
+ sulphur-crested cockatoo
85
+ coucal
86
+ bee eater
87
+ hornbill
88
+ hummingbird
89
+ jacamar
90
+ toucan
91
+ duck
92
+ red-breasted merganser
93
+ goose
94
+ tusker
95
+ platypus
96
+ wallaby
97
+ koala
98
+ wombat
99
+ jellyfish
100
+ sea anemone
101
+ brain coral
102
+ flatworm
103
+ nematode
104
+ conch
105
+ snail
106
+ slug
107
+ sea slug
108
+ chiton
109
+ chambered nautilus
110
+ Dungeness crab
111
+ rock crab
112
+ fiddler crab
113
+ red king crab
114
+ American lobster
115
+ spiny lobster
116
+ crayfish
117
+ hermit crab
118
+ isopod
119
+ white stork
120
+ black stork
121
+ flamingo
122
+ little blue heron
123
+ bittern bird
124
+ crane bird
125
+ American coot
126
+ bustard
127
+ dunlin
128
+ common redshank
129
+ dowitcher
130
+ oystercatcher
131
+ pelican
132
+ king penguin
133
+ albatross
134
+ grey whale
135
+ killer whale
136
+ dugong
137
+ sea lion
138
+ Chihuahua
139
+ Maltese
140
+ Pekingese
141
+ Shih Tzu
142
+ Papillon
143
+ toy terrier
144
+ Rhodesian Ridgeback
145
+ Afghan Hound
146
+ Basset Hound
147
+ Beagle
148
+ Bloodhound
149
+ Bluetick Coonhound
150
+ Black and Tan Coonhound
151
+ Treeing Walker Coonhound
152
+ English foxhound
153
+ Redbone Coonhound
154
+ borzoi
155
+ Irish Wolfhound
156
+ Italian Greyhound
157
+ Whippet
158
+ Ibizan Hound
159
+ Otterhound
160
+ Saluki
161
+ Weimaraner
162
+ Staffordshire Bull Terrier
163
+ American Staffordshire Terrier
164
+ Bedlington Terrier
165
+ Border Terrier
166
+ Kerry Blue Terrier
167
+ Irish Terrier
168
+ Norfolk Terrier
169
+ Yorkshire Terrier
170
+ Wire Fox Terrier
171
+ Lakeland Terrier
172
+ Sealyham Terrier
173
+ Airedale Terrier
174
+ Cairn Terrier
175
+ Australian Terrier
176
+ Dandie Dinmont Terrier
177
+ Boston Terrier
178
+ Miniature Schnauzer
179
+ Giant Schnauzer
180
+ Standard Schnauzer
181
+ Scottish Terrier
182
+ Tibetan Terrier
183
+ Australian Silky Terrier
184
+ Soft-coated Wheaten Terrier
185
+ West Highland White Terrier
186
+ Lhasa Apso
187
+ Flat-Coated Retriever
188
+ Curly-coated Retriever
189
+ Golden Retriever
190
+ Labrador Retriever
191
+ Chesapeake Bay Retriever
192
+ German Shorthaired Pointer
193
+ Vizsla
194
+ English Setter
195
+ Gordon Setter
196
+ Brittany dog
197
+ Clumber Spaniel
198
+ Welsh Springer Spaniel
199
+ Cocker Spaniel
200
+ Sussex Spaniel
201
+ Irish Water Spaniel
202
+ Kuvasz
203
+ Schipperke
204
+ Groenendael dog
205
+ Malinois
206
+ Briard
207
+ Australian Kelpie
208
+ Komondor
209
+ Old English Sheepdog
210
+ Shetland Sheepdog
211
+ Border Collie
212
+ Bouvier des Flandres dog
213
+ Rottweiler
214
+ German Shepherd Dog
215
+ Dobermann
216
+ Miniature Pinscher
217
+ Greater Swiss Mountain Dog
218
+ Boxer
219
+ Bullmastiff
220
+ French Bulldog
221
+ Great Dane
222
+ St. Bernard
223
+ Alaskan Malamute
224
+ Siberian Husky
225
+ Affenpinscher
226
+ Basenji
227
+ pug
228
+ Newfoundland dog
229
+ Great Pyrenees dog
230
+ Pomeranian
231
+ Chow Chow
232
+ Keeshond
233
+ brussels griffon
234
+ Pembroke Welsh Corgi
235
+ Cardigan Welsh Corgi
236
+ Toy Poodle
237
+ Miniature Poodle
238
+ Standard Poodle
239
+ Mexican hairless dog (xoloitzcuintli)
240
+ Alaskan tundra wolf
241
+ coyote
242
+ dingo
243
+ dhole
244
+ hyena
245
+ red fox
246
+ grey fox
247
+ tabby cat
248
+ tiger cat
249
+ Persian cat
250
+ Siamese cat
251
+ Egyptian Mau
252
+ cougar
253
+ snow leopard
254
+ jaguar
255
+ lion
256
+ brown bear
257
+ American black bear
258
+ polar bear
259
+ sloth bear
260
+ mongoose
261
+ meerkat
262
+ tiger beetle
263
+ ladybug
264
+ longhorn beetle
265
+ leaf beetle
266
+ dung beetle
267
+ rhinoceros beetle
268
+ weevil
269
+ fly
270
+ bee
271
+ ant
272
+ grasshopper
273
+ cricket insect
274
+ stick insect
275
+ cockroach
276
+ praying mantis
277
+ cicada
278
+ leafhopper
279
+ lacewing
280
+ dragonfly
281
+ red admiral butterfly
282
+ ringlet butterfly
283
+ monarch butterfly
284
+ small white butterfly
285
+ gossamer-winged butterfly
286
+ starfish
287
+ sea urchin
288
+ sea cucumber
289
+ cottontail rabbit
290
+ hare
291
+ Angora rabbit
292
+ porcupine
293
+ fox squirrel
294
+ marmot
295
+ beaver
296
+ guinea pig
297
+ common sorrel horse
298
+ zebra
299
+ pig
300
+ wild boar
301
+ warthog
302
+ hippopotamus
303
+ ox
304
+ water buffalo
305
+ bison
306
+ ram (adult male sheep)
307
+ bighorn sheep
308
+ Alpine ibex
309
+ impala (antelope)
310
+ gazelle
311
+ arabian camel
312
+ llama
313
+ weasel
314
+ mink
315
+ European polecat
316
+ black-footed ferret
317
+ otter
318
+ skunk
319
+ badger
320
+ armadillo
321
+ orangutan
322
+ gorilla
323
+ chimpanzee
324
+ gibbon
325
+ siamang
326
+ guenon
327
+ patas monkey
328
+ baboon
329
+ macaque
330
+ langur
331
+ black-and-white colobus
332
+ marmoset
333
+ white-headed capuchin
334
+ howler monkey
335
+ titi monkey
336
+ Geoffroy's spider monkey
337
+ common squirrel monkey
338
+ ring-tailed lemur
339
+ indri
340
+ Asian elephant
341
+ African bush elephant
342
+ red panda
343
+ giant panda
344
+ eel
345
+ silver salmon
346
+ rock beauty fish
347
+ sturgeon
348
+ gar fish
349
+ lionfish
350
+ pufferfish
351
+ abacus
352
+ abaya
353
+ academic gown
354
+ accordion
355
+ acoustic guitar
356
+ airliner
357
+ airship
358
+ altar
359
+ ambulance
360
+ analog clock
361
+ apiary
362
+ apron
363
+ trash can
364
+ assault rifle
365
+ backpack
366
+ bakery
367
+ balance beam
368
+ balloon
369
+ ballpoint pen
370
+ Band-Aid
371
+ banjo
372
+ baluster / handrail
373
+ barbell
374
+ barber chair
375
+ barbershop
376
+ barn
377
+ barometer
378
+ barrel
379
+ wheelbarrow
380
+ baseball
381
+ basketball
382
+ bassinet
383
+ bassoon
384
+ swimming cap
385
+ bath towel
386
+ bathtub
387
+ station wagon
388
+ lighthouse
389
+ beaker
390
+ military hat (bearskin or shako)
391
+ beer bottle
392
+ beer glass
393
+ bell tower
394
+ baby bib
395
+ tandem bicycle
396
+ bikini
397
+ ring binder
398
+ binoculars
399
+ birdhouse
400
+ boathouse
401
+ bobsleigh
402
+ bolo tie
403
+ poke bonnet
404
+ bookcase
405
+ bookstore
406
+ bottle cap
407
+ hunting bow
408
+ bow tie
409
+ brass memorial plaque
410
+ bra
411
+ breakwater
412
+ breastplate
413
+ broom
414
+ bucket
415
+ buckle
416
+ bulletproof vest
417
+ high-speed train
418
+ butcher shop
419
+ taxicab
420
+ cauldron
421
+ candle
422
+ cannon
423
+ can opener
424
+ cardigan
425
+ car mirror
426
+ carousel
427
+ tool kit
428
+ cardboard box / carton
429
+ car wheel
430
+ automated teller machine
431
+ cassette
432
+ cassette player
433
+ castle
434
+ catamaran
435
+ CD player
436
+ cello
437
+ mobile phone
438
+ chain
439
+ chain-link fence
440
+ chain mail
441
+ chainsaw
442
+ storage chest
443
+ chiffonier
444
+ bell or wind chime
445
+ china cabinet
446
+ Christmas stocking
447
+ church
448
+ movie theater
449
+ cleaver
450
+ cliff dwelling
451
+ cloak
452
+ clogs
453
+ cocktail shaker
454
+ coffee mug
455
+ coffeemaker
456
+ spiral or coil
457
+ combination lock
458
+ computer keyboard
459
+ candy store
460
+ container ship
461
+ convertible
462
+ corkscrew
463
+ cornet
464
+ cowboy boot
465
+ cowboy hat
466
+ cradle
467
+ construction crane
468
+ crash helmet
469
+ crate
470
+ infant bed
471
+ Crock Pot
472
+ croquet ball
473
+ crutch
474
+ cuirass
475
+ dam
476
+ desk
477
+ desktop computer
478
+ rotary dial telephone
479
+ diaper
480
+ digital clock
481
+ digital watch
482
+ dining table
483
+ dishcloth
484
+ dishwasher
485
+ disc brake
486
+ dock
487
+ dog sled
488
+ dome
489
+ doormat
490
+ drilling rig
491
+ drum
492
+ drumstick
493
+ dumbbell
494
+ Dutch oven
495
+ electric fan
496
+ electric guitar
497
+ electric locomotive
498
+ envelope
499
+ espresso machine
500
+ face powder
501
+ feather boa
502
+ filing cabinet
503
+ fireboat
504
+ fire truck
505
+ fire screen
506
+ flagpole
507
+ flute
508
+ folding chair
509
+ football helmet
510
+ forklift
511
+ fountain
512
+ fountain pen
513
+ four-poster bed
514
+ freight car
515
+ French horn
516
+ frying pan
517
+ fur coat
518
+ garbage truck
519
+ gas mask or respirator
520
+ gas pump
521
+ goblet
522
+ go-kart
523
+ golf ball
524
+ golf cart
525
+ gondola
526
+ gong
527
+ gown
528
+ grand piano
529
+ greenhouse
530
+ radiator grille
531
+ grocery store
532
+ guillotine
533
+ hair clip
534
+ hair spray
535
+ half-track
536
+ hammer
537
+ hamper
538
+ hair dryer
539
+ hand-held computer
540
+ handkerchief
541
+ hard disk drive
542
+ harmonica
543
+ harp
544
+ combine harvester
545
+ hatchet
546
+ holster
547
+ home theater
548
+ honeycomb
549
+ hook
550
+ hoop skirt
551
+ gymnastic horizontal bar
552
+ horse-drawn vehicle
553
+ hourglass
554
+ iPod
555
+ clothes iron
556
+ carved pumpkin
557
+ jeans
558
+ jeep
559
+ T-shirt
560
+ jigsaw puzzle
561
+ rickshaw
562
+ joystick
563
+ kimono
564
+ knee pad
565
+ knot
566
+ lab coat
567
+ ladle
568
+ lampshade
569
+ laptop computer
570
+ lawn mower
571
+ lens cap
572
+ letter opener
573
+ library
574
+ lighter
575
+ limousine
576
+ lipstick
577
+ slip-on shoe
578
+ lotion
579
+ music speaker
580
+ loupe magnifying glass
581
+ sawmill
582
+ magnetic compass
583
+ messenger bag
584
+ mailbox
585
+ tights
586
+ one-piece bathing suit
587
+ manhole cover
588
+ maraca
589
+ marimba
590
+ mask
591
+ matchstick
592
+ maypole
593
+ maze
594
+ measuring cup
595
+ medicine cabinet
596
+ megalith
597
+ microphone
598
+ microwave oven
599
+ military uniform
600
+ milk can
601
+ minibus
602
+ miniskirt
603
+ minivan
604
+ missile
605
+ mitten
606
+ mixing bowl
607
+ mobile home
608
+ ford model t
609
+ modem
610
+ monastery
611
+ monitor
612
+ moped
613
+ mortar and pestle
614
+ graduation cap
615
+ mosque
616
+ mosquito net
617
+ vespa
618
+ mountain bike
619
+ tent
620
+ computer mouse
621
+ mousetrap
622
+ moving van
623
+ muzzle
624
+ metal nail
625
+ neck brace
626
+ necklace
627
+ baby pacifier
628
+ notebook computer
629
+ obelisk
630
+ oboe
631
+ ocarina
632
+ odometer
633
+ oil filter
634
+ pipe organ
635
+ overskirt
636
+ bullock cart
637
+ oxygen mask
638
+ product packet / packaging
639
+ paddle
640
+ paddle wheel
641
+ padlock
642
+ paintbrush
643
+ pajamas
644
+ palace
645
+ pan flute
646
+ paper towel
647
+ parachute
648
+ parallel bars
649
+ park bench
650
+ parking meter
651
+ railroad car
652
+ patio
653
+ payphone
654
+ pedestal
655
+ pencil case
656
+ pencil sharpener
657
+ perfume
658
+ Petri dish
659
+ photocopier
660
+ plectrum
661
+ Pickelhaube
662
+ picket fence
663
+ pickup truck
664
+ pier
665
+ piggy bank
666
+ pill bottle
667
+ pillow
668
+ ping-pong ball
669
+ pinwheel
670
+ pirate ship
671
+ drink pitcher
672
+ block plane
673
+ planetarium
674
+ plastic bag
675
+ plate rack
676
+ farm plow
677
+ plunger
678
+ Polaroid camera
679
+ pole
680
+ police van
681
+ poncho
682
+ pool table
683
+ soda bottle
684
+ plant pot
685
+ potter's wheel
686
+ power drill
687
+ prayer rug
688
+ printer
689
+ prison
690
+ missile
691
+ projector
692
+ hockey puck
693
+ punching bag
694
+ purse
695
+ quill
696
+ quilt
697
+ race car
698
+ racket
699
+ radiator
700
+ radio
701
+ radio telescope
702
+ rain barrel
703
+ recreational vehicle
704
+ fishing casting reel
705
+ reflex camera
706
+ refrigerator
707
+ remote control
708
+ restaurant
709
+ revolver
710
+ rifle
711
+ rocking chair
712
+ rotisserie
713
+ eraser
714
+ rugby ball
715
+ ruler measuring stick
716
+ sneaker
717
+ safe
718
+ safety pin
719
+ salt shaker
720
+ sandal
721
+ sarong
722
+ saxophone
723
+ scabbard
724
+ weighing scale
725
+ school bus
726
+ schooner
727
+ scoreboard
728
+ CRT monitor
729
+ screwdriver
730
+ seat belt
731
+ sewing machine
732
+ shield
733
+ shoe store
734
+ shoji screen / room divider
735
+ shopping basket
736
+ shopping cart
737
+ shovel
738
+ shower cap
739
+ shower curtain
740
+ ski
741
+ balaclava ski mask
742
+ sleeping bag
743
+ slide rule
744
+ sliding door
745
+ slot machine
746
+ snorkel
747
+ snowmobile
748
+ snowplow
749
+ soap dispenser
750
+ soccer ball
751
+ sock
752
+ solar thermal collector
753
+ sombrero
754
+ soup bowl
755
+ space heater
756
+ space shuttle
757
+ spatula
758
+ motorboat
759
+ spider web
760
+ spindle
761
+ sports car
762
+ spotlight
763
+ stage
764
+ steam locomotive
765
+ through arch bridge
766
+ steel drum
767
+ stethoscope
768
+ scarf
769
+ stone wall
770
+ stopwatch
771
+ stove
772
+ strainer
773
+ tram
774
+ stretcher
775
+ couch
776
+ stupa
777
+ submarine
778
+ suit
779
+ sundial
780
+ sunglasses
781
+ sunglasses
782
+ sunscreen
783
+ suspension bridge
784
+ mop
785
+ sweatshirt
786
+ swim trunks / shorts
787
+ swing
788
+ electrical switch
789
+ syringe
790
+ table lamp
791
+ tank
792
+ tape player
793
+ teapot
794
+ teddy bear
795
+ television
796
+ tennis ball
797
+ thatched roof
798
+ front curtain
799
+ thimble
800
+ threshing machine
801
+ throne
802
+ tile roof
803
+ toaster
804
+ tobacco shop
805
+ toilet seat
806
+ torch
807
+ totem pole
808
+ tow truck
809
+ toy store
810
+ tractor
811
+ semi-trailer truck
812
+ tray
813
+ trench coat
814
+ tricycle
815
+ trimaran
816
+ tripod
817
+ triumphal arch
818
+ trolleybus
819
+ trombone
820
+ hot tub
821
+ turnstile
822
+ typewriter keyboard
823
+ umbrella
824
+ unicycle
825
+ upright piano
826
+ vacuum cleaner
827
+ vase
828
+ vaulted or arched ceiling
829
+ velvet fabric
830
+ vestment
831
+ viaduct
832
+ violin
833
+ waffle iron
834
+ wall clock
835
+ wallet
836
+ wardrobe
837
+ military aircraft
838
+ sink
839
+ washing machine
840
+ water bottle
841
+ water jug
842
+ water tower
843
+ whiskey jug
844
+ whistle
845
+ hair wig
846
+ window screen
847
+ window shade
848
+ Windsor tie
849
+ wine bottle
850
+ airplane wing
851
+ wok
852
+ wooden spoon
853
+ wool
854
+ split-rail fence
855
+ shipwreck
856
+ sailboat
857
+ yurt
858
+ website
859
+ comic book
860
+ crossword
861
+ traffic or street sign
862
+ traffic light
863
+ dust jacket
864
+ menu
865
+ plate
866
+ guacamole
867
+ consomme
868
+ hot pot
869
+ trifle
870
+ ice cream
871
+ popsicle
872
+ baguette
873
+ bagel
874
+ pretzel
875
+ cheeseburger
876
+ hot dog
877
+ cabbage
878
+ broccoli
879
+ zucchini
880
+ spaghetti squash
881
+ acorn squash
882
+ butternut squash
883
+ cucumber
884
+ bell pepper
885
+ cardoon
886
+ mushroom
887
+ Granny Smith apple
888
+ strawberry
889
+ orange
890
+ lemon
891
+ fig
892
+ pineapple
893
+ banana
894
+ jackfruit
895
+ cherimoya (custard apple)
896
+ pomegranate
897
+ hay
898
+ carbonara
899
+ chocolate syrup
900
+ dough
901
+ meatloaf
902
+ pizza
903
+ pot pie
904
+ burrito
905
+ red wine
906
+ espresso
907
+ tea cup
908
+ eggnog
909
+ mountain
910
+ bubble
911
+ coral reef
912
+ geyser
913
+ lakeshore
914
+ promontory
915
+ sandbar
916
+ beach
917
+ volcano
918
+ baseball player
919
+ bridegroom
920
+ scuba diver
921
+ daisy
922
+ corn
923
+ acorn
924
+ rose hip
925
+ horse chestnut seed
926
+ stinkhorn mushroom
927
+ hen of the woods mushroom
928
+ bolete
929
+ corn cob
930
+ toilet paper
create_1000_imagenet.py ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import argparse
2
+ import json
3
+
4
+
5
+ def convert(inp, out):
6
+ with open("imagenet_wnids.txt") as fp:
7
+ wnids = {line.strip() for line in fp}
8
+ with open(inp) as fp:
9
+ examples = json.load(fp)
10
+ for ex in examples:
11
+ ex['choices'] = [ex['correct_answer']] + list(wnids - {ex['correct_answer']})
12
+ with open(out, "w") as fp:
13
+ json.dump(examples, fp)
14
+
15
+
16
+ if __name__ == "__main__":
17
+ parser = argparse.ArgumentParser()
18
+ parser.add_argument("input", type=str)
19
+ parser.add_argument("--output", "-o", type=str, required=True)
20
+ args = parser.parse_args()
21
+ convert(args.input, args.output)
22
+
create_close_imagenet.py ADDED
@@ -0,0 +1,105 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Create a hard multiple choice subset of the ImageNet validation split based on human accuracy annotation data."""
2
+
3
+ from typing import Dict
4
+ import argparse
5
+ import json
6
+ import pickle
7
+ import numpy as np
8
+ import scipy.io
9
+
10
+
11
+ def get_imagenet_labels() -> Dict[str, str]:
12
+ """Return ground truth wnids."""
13
+ with open("ILSVRC2012_devkit_t12/data/ILSVRC2012_validation_ground_truth.txt") as fp:
14
+ ilsvrc_idxs = [int(line.strip()) for line in fp]
15
+ ilsvrc_metadata = scipy.io.loadmat("ILSVRC2012_devkit_t12/data/meta.mat", simplify_cells=True)
16
+ ilsvrc_idx2wnid = {
17
+ synset['ILSVRC2012_ID']: synset['WNID']
18
+ for synset in ilsvrc_metadata['synsets']
19
+ }
20
+ return {
21
+ f"ILSVRC2012_val_{img_id:0>8}.JPEG": ilsvrc_idx2wnid[idx]
22
+ for img_id, idx in enumerate(ilsvrc_idxs, start=1)
23
+ }
24
+
25
+
26
+ def construct_ancestor_map(wnids: list):
27
+ """Construct map of deepest common ancestor for all pairs of ImageNet classes."""
28
+ ancestor_map = np.zeros((len(wnids), len(wnids)), dtype=np.uint8)
29
+ def iterate_postorder(node: dict, depth: int):
30
+ # Leaf node
31
+ if node['children'] is None:
32
+ idx = wnids.index(node['wnid'])
33
+ ancestor_map[idx, idx] = depth
34
+ return [idx]
35
+ # Iterate over children
36
+ all_leaves = [
37
+ iterate_postorder(child, depth + 1)
38
+ for child in node['children'].values()
39
+ ]
40
+ # Connect branches together
41
+ for branch in range(len(all_leaves)):
42
+ for other in range(len(all_leaves)):
43
+ if other == branch:
44
+ continue
45
+ for leaf_a in all_leaves[branch]:
46
+ for leaf_b in all_leaves[other]:
47
+ ancestor_map[leaf_a, leaf_b] = max(ancestor_map[leaf_a, leaf_b], depth)
48
+ return sum(all_leaves, [])
49
+ with open("imagenet_hierarchy.json") as fp:
50
+ root = json.load(fp)['tree']
51
+ iterate_postorder(root, 0)
52
+ return ancestor_map
53
+
54
+
55
+ def get_close_examples(num_choices: int = 4, seed: int | np.random.Generator = None):
56
+ """
57
+ Construct semi-hard MCQA examples using ImageNet hierarchy.
58
+ """
59
+ rng = np.random.default_rng(seed)
60
+ with open("imagenet_wnids.txt") as fp:
61
+ wnids = [line.strip() for line in fp]
62
+ gt_labels = get_imagenet_labels()
63
+ ancestor_map = construct_ancestor_map(wnids)
64
+
65
+ with open("human_accuracy_annotations.pkl", "rb") as fp:
66
+ annotation_data = pickle.load(fp)
67
+ examples = []
68
+ for imgname, annot in annotation_data['initial_annots'].items():
69
+ if imgname.startswith("ILSVRC2012"):
70
+ if gt_labels[imgname] not in annot.get('wrong', []):
71
+ wrong_choices = []
72
+ # Fill in answer choices from hierarchy
73
+ gt_idx = wnids.index(gt_labels[imgname])
74
+ for depth in range(ancestor_map[gt_idx, gt_idx] - 1, -1, -1):
75
+ if len(wrong_choices) >= num_choices - 1:
76
+ break
77
+ neighbors = [
78
+ wnids[idx]
79
+ for idx in np.nonzero(ancestor_map[gt_idx] == depth)[0]
80
+ if wnids[idx] not in annot.get('correct', [])
81
+ ]
82
+ if num_choices - 1 - len(wrong_choices) < len(neighbors):
83
+ wrong_choices += list(rng.choice(neighbors, size=num_choices - 1 - len(wrong_choices), replace=False))
84
+ else:
85
+ wrong_choices += neighbors
86
+ examples.append({
87
+ 'image': imgname,
88
+ 'choices': [gt_labels[imgname]] + list(wrong_choices),
89
+ 'correct_answer': gt_labels[imgname]
90
+ })
91
+ return examples
92
+
93
+
94
+ if __name__ == "__main__":
95
+ parser = argparse.ArgumentParser()
96
+ parser.add_argument("--n-choices", "-n", type=int, required=True)
97
+ parser.add_argument("--output", "-o", type=str, default=None)
98
+ parser.add_argument("--seed", type=int, default=42)
99
+ args = parser.parse_args()
100
+ dataset = get_close_examples(args.n_choices, seed=args.seed)
101
+ print(f"No. of examples: {len(dataset)}")
102
+ if args.output:
103
+ with open(args.output, "w") as fp:
104
+ json.dump(dataset, fp, indent=2)
105
+ print(f"Saved to '{args.output}'")
create_hard_imagenet.py ADDED
@@ -0,0 +1,133 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Create a hard multiple choice subset of the ImageNet validation split based on human accuracy annotation data."""
2
+
3
+ from typing import Dict
4
+ import argparse
5
+ import json
6
+ import pickle
7
+ import numpy as np
8
+ import scipy.io
9
+
10
+
11
+ def get_imagenet_labels() -> Dict[str, str]:
12
+ """Return ground truth wnids."""
13
+ with open("ILSVRC2012_devkit_t12/data/ILSVRC2012_validation_ground_truth.txt") as fp:
14
+ ilsvrc_idxs = [int(line.strip()) for line in fp]
15
+ ilsvrc_metadata = scipy.io.loadmat("ILSVRC2012_devkit_t12/data/meta.mat", simplify_cells=True)
16
+ ilsvrc_idx2wnid = {
17
+ synset['ILSVRC2012_ID']: synset['WNID']
18
+ for synset in ilsvrc_metadata['synsets']
19
+ }
20
+ return {
21
+ f"ILSVRC2012_val_{img_id:0>8}.JPEG": ilsvrc_idx2wnid[idx]
22
+ for img_id, idx in enumerate(ilsvrc_idxs, start=1)
23
+ }
24
+
25
+
26
+ def get_hard_examples(num_choices: int = 4, seed: int | np.random.Generator = None):
27
+ rng = np.random.default_rng(seed)
28
+ gt_labels = get_imagenet_labels()
29
+ with open("human_accuracy_annotations.pkl", "rb") as fp:
30
+ annotation_data = pickle.load(fp)
31
+ examples = []
32
+ for imgname, annot in annotation_data['initial_annots'].items():
33
+ if imgname.startswith("ILSVRC2012") and len(annot.get('wrong', [])) >= num_choices - 1:
34
+ if gt_labels[imgname] not in annot['wrong']:
35
+ wrong_choices = rng.choice(annot['wrong'], size=num_choices - 1, replace=False)
36
+ examples.append({
37
+ 'image': imgname,
38
+ 'choices': [gt_labels[imgname]] + list(wrong_choices),
39
+ 'correct_answer': gt_labels[imgname]
40
+ })
41
+ return examples
42
+
43
+
44
+ def construct_ancestor_map(wnids: list):
45
+ """Construct map of deepest common ancestor for all pairs of ImageNet classes."""
46
+ ancestor_map = np.zeros((len(wnids), len(wnids)), dtype=np.uint8)
47
+ def iterate_postorder(node: dict, depth: int):
48
+ # Leaf node
49
+ if node['children'] is None:
50
+ idx = wnids.index(node['wnid'])
51
+ ancestor_map[idx, idx] = depth
52
+ return [idx]
53
+ # Iterate over children
54
+ all_leaves = [
55
+ iterate_postorder(child, depth + 1)
56
+ for child in node['children'].values()
57
+ ]
58
+ # Connect branches together
59
+ for branch in range(len(all_leaves)):
60
+ for other in range(len(all_leaves)):
61
+ if other == branch:
62
+ continue
63
+ for leaf_a in all_leaves[branch]:
64
+ for leaf_b in all_leaves[other]:
65
+ ancestor_map[leaf_a, leaf_b] = max(ancestor_map[leaf_a, leaf_b], depth)
66
+ return sum(all_leaves, [])
67
+ with open("imagenet_hierarchy.json") as fp:
68
+ root = json.load(fp)['tree']
69
+ iterate_postorder(root, 0)
70
+ return ancestor_map
71
+
72
+
73
+ def get_filled_hard_examples(num_choices: int = 4, min_hard: int = 1, seed: int | np.random.Generator = None):
74
+ """
75
+ Construct hard MCQA examples using human annotation data.
76
+ Examples with fewer than the required number of 'wrong' annotations will have remaining answer choices filled in.
77
+ """
78
+ rng = np.random.default_rng(seed)
79
+ with open("imagenet_wnids.txt") as fp:
80
+ wnids = [line.strip() for line in fp]
81
+ gt_labels = get_imagenet_labels()
82
+ ancestor_map = construct_ancestor_map(wnids)
83
+
84
+ with open("human_accuracy_annotations.pkl", "rb") as fp:
85
+ annotation_data = pickle.load(fp)
86
+ examples = []
87
+ for imgname, annot in annotation_data['initial_annots'].items():
88
+ if imgname.startswith("ILSVRC2012") and len(annot.get('wrong', [])) >= min_hard:
89
+ if gt_labels[imgname] not in annot['wrong']:
90
+ # Get hard wrong answer choices from human annotation data
91
+ if num_choices - 1 < len(annot['wrong']):
92
+ wrong_choices = list(rng.choice(annot['wrong'], size=num_choices - 1, replace=False))
93
+ else:
94
+ wrong_choices = list(annot['wrong'])
95
+ # Fill in remainder from hierarchy
96
+ gt_idx = wnids.index(gt_labels[imgname])
97
+ for depth in range(ancestor_map[gt_idx, gt_idx] - 1, -1, -1):
98
+ if len(wrong_choices) >= num_choices - 1:
99
+ break
100
+ neighbors = [
101
+ wnids[idx]
102
+ for idx in np.nonzero(ancestor_map[gt_idx] == depth)[0]
103
+ if wnids[idx] not in annot['wrong'] and wnids[idx] not in annot.get('correct', [])
104
+ ]
105
+ if num_choices - 1 - len(wrong_choices) < len(neighbors):
106
+ wrong_choices += list(rng.choice(neighbors, size=num_choices - 1 - len(wrong_choices), replace=False))
107
+ else:
108
+ wrong_choices += neighbors
109
+ examples.append({
110
+ 'image': imgname,
111
+ 'choices': [gt_labels[imgname]] + list(wrong_choices),
112
+ 'correct_answer': gt_labels[imgname]
113
+ })
114
+ return examples
115
+
116
+
117
+ if __name__ == "__main__":
118
+ parser = argparse.ArgumentParser()
119
+ parser.add_argument("--n-choices", "-n", type=int, required=True)
120
+ parser.add_argument("--output", "-o", type=str, default=None)
121
+ parser.add_argument("--fill", "-f", action="store_true")
122
+ parser.add_argument("--min-hard", "-m", type=int, default=1)
123
+ parser.add_argument("--seed", type=int, default=42)
124
+ args = parser.parse_args()
125
+ if args.fill:
126
+ dataset = get_filled_hard_examples(args.n_choices, args.min_hard, seed=args.seed)
127
+ else:
128
+ dataset = get_hard_examples(args.n_choices, seed=args.seed)
129
+ print(f"No. of examples: {len(dataset)}")
130
+ if args.output:
131
+ with open(args.output, "w") as fp:
132
+ json.dump(dataset, fp, indent=2)
133
+ print(f"Saved to '{args.output}'")
create_hard_imagenetv2.py ADDED
@@ -0,0 +1,176 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Create a hard multiple choice subset of the ImageNet validation split based on human accuracy annotation data."""
2
+
3
+ from typing import Dict, Tuple
4
+ import argparse
5
+ import glob
6
+ import json
7
+ import pickle
8
+ import numpy as np
9
+ import scipy.io
10
+
11
+
12
+ def get_imagenet_labels() -> Tuple[Dict[str, str], Dict[str, str]]:
13
+ """Return ground truth wnids."""
14
+ images = glob.glob("*/*.jpeg", root_dir="/gscratch/efml/djghosh/temp_data/imagenetv2/inv2-all")
15
+ with open("imagenet_wnids.txt") as fp:
16
+ wnids = [line.strip() for line in fp]
17
+ imagenet_labels = {}
18
+ imagenet_paths = {}
19
+ for imgpath in images:
20
+ label_id, image_id = imgpath.split(".jpeg")[0].split("/")
21
+ imagenet_labels[image_id] = wnids[int(label_id)]
22
+ imagenet_paths[image_id] = imgpath
23
+ return imagenet_labels, imagenet_paths
24
+
25
+
26
+ def get_hard_examples(num_choices: int = 4, seed: int | np.random.Generator = None):
27
+ rng = np.random.default_rng(seed)
28
+ gt_labels, gt_paths = get_imagenet_labels()
29
+ with open("human_accuracy_annotations.pkl", "rb") as fp:
30
+ annotation_data = pickle.load(fp)
31
+ examples = []
32
+ for imgname, annot in annotation_data['initial_annots'].items():
33
+ if imgname in gt_labels and len(annot.get('wrong', [])) >= num_choices - 1:
34
+ if gt_labels[imgname] not in annot['wrong']:
35
+ wrong_choices = rng.choice(annot['wrong'], size=num_choices - 1, replace=False)
36
+ examples.append({
37
+ 'image': f"imagesv2/{gt_paths[imgname]}",
38
+ 'choices': [gt_labels[imgname]] + list(wrong_choices),
39
+ 'correct_answer': gt_labels[imgname]
40
+ })
41
+ return examples
42
+
43
+
44
+ def construct_ancestor_map(wnids: list):
45
+ """Construct map of deepest common ancestor for all pairs of ImageNet classes."""
46
+ ancestor_map = np.zeros((len(wnids), len(wnids)), dtype=np.uint8)
47
+ def iterate_postorder(node: dict, depth: int):
48
+ # Leaf node
49
+ if node['children'] is None:
50
+ idx = wnids.index(node['wnid'])
51
+ ancestor_map[idx, idx] = depth
52
+ return [idx]
53
+ # Iterate over children
54
+ all_leaves = [
55
+ iterate_postorder(child, depth + 1)
56
+ for child in node['children'].values()
57
+ ]
58
+ # Connect branches together
59
+ for branch in range(len(all_leaves)):
60
+ for other in range(len(all_leaves)):
61
+ if other == branch:
62
+ continue
63
+ for leaf_a in all_leaves[branch]:
64
+ for leaf_b in all_leaves[other]:
65
+ ancestor_map[leaf_a, leaf_b] = max(ancestor_map[leaf_a, leaf_b], depth)
66
+ return sum(all_leaves, [])
67
+ with open("imagenet_hierarchy.json") as fp:
68
+ root = json.load(fp)['tree']
69
+ iterate_postorder(root, 0)
70
+ return ancestor_map
71
+
72
+
73
+ def get_filled_hard_examples(num_choices: int = 4, min_hard: int = 1, seed: int | np.random.Generator = None):
74
+ """
75
+ Construct hard MCQA examples using human annotation data.
76
+ Examples with fewer than the required number of 'wrong' annotations will have remaining answer choices filled in.
77
+ """
78
+ rng = np.random.default_rng(seed)
79
+ with open("imagenet_wnids.txt") as fp:
80
+ wnids = [line.strip() for line in fp]
81
+ gt_labels, gt_paths = get_imagenet_labels()
82
+ ancestor_map = construct_ancestor_map(wnids)
83
+
84
+ with open("human_accuracy_annotations.pkl", "rb") as fp:
85
+ annotation_data = pickle.load(fp)
86
+ examples = []
87
+ for imgname, annot in annotation_data['initial_annots'].items():
88
+ if imgname in gt_labels and len(annot.get('wrong', [])) >= min_hard:
89
+ if gt_labels[imgname] not in annot['wrong']:
90
+ # Get hard wrong answer choices from human annotation data
91
+ if num_choices - 1 < len(annot['wrong']):
92
+ wrong_choices = list(rng.choice(annot['wrong'], size=num_choices - 1, replace=False))
93
+ else:
94
+ wrong_choices = list(annot['wrong'])
95
+ # Fill in remainder from hierarchy
96
+ gt_idx = wnids.index(gt_labels[imgname])
97
+ for depth in range(ancestor_map[gt_idx, gt_idx] - 1, -1, -1):
98
+ if len(wrong_choices) >= num_choices - 1:
99
+ break
100
+ neighbors = [
101
+ wnids[idx]
102
+ for idx in np.nonzero(ancestor_map[gt_idx] == depth)[0]
103
+ if wnids[idx] not in annot['wrong'] and wnids[idx] not in annot.get('correct', [])
104
+ ]
105
+ if num_choices - 1 - len(wrong_choices) < len(neighbors):
106
+ wrong_choices += list(rng.choice(neighbors, size=num_choices - 1 - len(wrong_choices), replace=False))
107
+ else:
108
+ wrong_choices += neighbors
109
+ examples.append({
110
+ 'image': f"imagesv2/{gt_paths[imgname]}",
111
+ 'choices': [gt_labels[imgname]] + list(wrong_choices),
112
+ 'correct_answer': gt_labels[imgname]
113
+ })
114
+ return examples
115
+
116
+
117
+ def get_close_examples(num_choices: int = 4, seed: int | np.random.Generator = None):
118
+ """
119
+ Construct close MCQA examples using only ImageNet/WordNet hierarchy data.
120
+ """
121
+ rng = np.random.default_rng(seed)
122
+ with open("imagenet_wnids.txt") as fp:
123
+ wnids = [line.strip() for line in fp]
124
+ gt_labels, gt_paths = get_imagenet_labels()
125
+ ancestor_map = construct_ancestor_map(wnids)
126
+
127
+ with open("human_accuracy_annotations.pkl", "rb") as fp:
128
+ annotation_data = pickle.load(fp)
129
+ examples = []
130
+ for imgname, annot in annotation_data['initial_annots'].items():
131
+ if imgname in gt_labels:
132
+ if gt_labels[imgname] not in annot.get('wrong', []):
133
+ wrong_choices = []
134
+ # Fill in remainder from hierarchy
135
+ gt_idx = wnids.index(gt_labels[imgname])
136
+ for depth in range(ancestor_map[gt_idx, gt_idx] - 1, -1, -1):
137
+ if len(wrong_choices) >= num_choices - 1:
138
+ break
139
+ neighbors = [
140
+ wnids[idx]
141
+ for idx in np.nonzero(ancestor_map[gt_idx] == depth)[0]
142
+ if wnids[idx] not in annot.get('correct', [])
143
+ ]
144
+ if num_choices - 1 - len(wrong_choices) < len(neighbors):
145
+ wrong_choices += list(rng.choice(neighbors, size=num_choices - 1 - len(wrong_choices), replace=False))
146
+ else:
147
+ wrong_choices += neighbors
148
+ examples.append({
149
+ 'image': f"imagesv2/{gt_paths[imgname]}",
150
+ 'choices': [gt_labels[imgname]] + list(wrong_choices),
151
+ 'correct_answer': gt_labels[imgname]
152
+ })
153
+ return examples
154
+
155
+
156
+ if __name__ == "__main__":
157
+ parser = argparse.ArgumentParser()
158
+ parser.add_argument("--n-choices", "-n", type=int, required=True)
159
+ parser.add_argument("--output", "-o", type=str, default=None)
160
+ group = parser.add_mutually_exclusive_group()
161
+ group.add_argument("--fill", "-f", action="store_true")
162
+ group.add_argument("--no-hard", action="store_true")
163
+ parser.add_argument("--min-hard", "-m", type=int, default=1)
164
+ parser.add_argument("--seed", type=int, default=42)
165
+ args = parser.parse_args()
166
+ if args.fill:
167
+ dataset = get_filled_hard_examples(args.n_choices, args.min_hard, seed=args.seed)
168
+ elif args.no_hard:
169
+ dataset = get_close_examples(args.n_choices, seed=args.seed)
170
+ else:
171
+ dataset = get_hard_examples(args.n_choices, seed=args.seed)
172
+ print(f"No. of examples: {len(dataset)}")
173
+ if args.output:
174
+ with open(args.output, "w") as fp:
175
+ json.dump(dataset, fp, indent=2)
176
+ print(f"Saved to '{args.output}'")
create_random_imagenet.py ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Create a hard multiple choice subset of the ImageNet validation split based on human accuracy annotation data."""
2
+
3
+ from typing import Dict
4
+ import argparse
5
+ import json
6
+ import pickle
7
+ import numpy as np
8
+ import scipy.io
9
+
10
+
11
+ def get_imagenet_labels() -> Dict[str, str]:
12
+ """Return ground truth wnids."""
13
+ with open("ILSVRC2012_devkit_t12/data/ILSVRC2012_validation_ground_truth.txt") as fp:
14
+ ilsvrc_idxs = [int(line.strip()) for line in fp]
15
+ ilsvrc_metadata = scipy.io.loadmat("ILSVRC2012_devkit_t12/data/meta.mat", simplify_cells=True)
16
+ ilsvrc_idx2wnid = {
17
+ synset['ILSVRC2012_ID']: synset['WNID']
18
+ for synset in ilsvrc_metadata['synsets']
19
+ }
20
+ return {
21
+ f"ILSVRC2012_val_{img_id:0>8}.JPEG": ilsvrc_idx2wnid[idx]
22
+ for img_id, idx in enumerate(ilsvrc_idxs, start=1)
23
+ }
24
+
25
+
26
+ def get_close_examples(num_choices: int = 4, seed: int | np.random.Generator = None):
27
+ """
28
+ Construct easy MCQA examples using ImageNet hierarchy.
29
+ """
30
+ rng = np.random.default_rng(seed)
31
+ with open("imagenet_wnids.txt") as fp:
32
+ wnids = [line.strip() for line in fp]
33
+ gt_labels = get_imagenet_labels()
34
+
35
+ with open("human_accuracy_annotations.pkl", "rb") as fp:
36
+ annotation_data = pickle.load(fp)
37
+ examples = []
38
+ for imgname, annot in annotation_data['initial_annots'].items():
39
+ if imgname.startswith("ILSVRC2012"):
40
+ if gt_labels[imgname] not in annot.get('wrong', []):
41
+ # Fill in answer choices from hierarchy
42
+ other_choices = list(set(wnids) - {gt_labels[imgname]})
43
+ wrong_choices = list(rng.choice(other_choices, size=num_choices - 1, replace=False))
44
+ examples.append({
45
+ 'image': imgname,
46
+ 'choices': [gt_labels[imgname]] + list(wrong_choices),
47
+ 'correct_answer': gt_labels[imgname]
48
+ })
49
+ return examples
50
+
51
+
52
+ if __name__ == "__main__":
53
+ parser = argparse.ArgumentParser()
54
+ parser.add_argument("--n-choices", "-n", type=int, required=True)
55
+ parser.add_argument("--output", "-o", type=str, default=None)
56
+ parser.add_argument("--seed", type=int, default=42)
57
+ args = parser.parse_args()
58
+ dataset = get_close_examples(args.n_choices, seed=args.seed)
59
+ print(f"No. of examples: {len(dataset)}")
60
+ if args.output:
61
+ with open(args.output, "w") as fp:
62
+ json.dump(dataset, fp, indent=2)
63
+ print(f"Saved to '{args.output}'")
dictionary.txt ADDED
@@ -0,0 +1,1000 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ tench, Tinca tinca: freshwater dace-like game fish of Europe and western Asia noted for ability to survive outside water
2
+ goldfish, Carassius auratus: small golden or orange-red freshwater fishes of Eurasia used as pond or aquarium fishes
3
+ great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias: large aggressive shark widespread in warm seas; known to attack humans
4
+ tiger shark, Galeocerdo cuvieri: large dangerous warm-water shark with striped or spotted body
5
+ hammerhead, hammerhead shark: medium-sized live-bearing shark with eyes at either end of a flattened hammer-shaped head; worldwide in warm waters; can be dangerous
6
+ electric ray, crampfish, numbfish, torpedo: any sluggish bottom-dwelling ray of the order Torpediniformes having a rounded body and electric organs on each side of the head capable of emitting strong electric discharges
7
+ stingray: large venomous ray with large barbed spines near the base of a thin whiplike tail capable of inflicting severe wounds
8
+ cock: adult male bird
9
+ hen: adult female bird
10
+ ostrich, Struthio camelus: fast-running African flightless bird with two-toed feet; largest living bird
11
+ brambling, Fringilla montifringilla: Eurasian finch
12
+ goldfinch, Carduelis carduelis: small European finch having a crimson face and yellow-and-black wings
13
+ house finch, linnet, Carpodacus mexicanus: small finch originally of the western United States and Mexico
14
+ junco, snowbird: small North American finch seen chiefly in winter
15
+ indigo bunting, indigo finch, indigo bird, Passerina cyanea: small deep blue North American bunting
16
+ robin, American robin, Turdus migratorius: large American thrush having a rust-red breast and abdomen
17
+ bulbul: nightingale spoken of in Persian poetry
18
+ jay: crested largely blue bird
19
+ magpie: long-tailed black-and-white crow that utters a raucous chattering call
20
+ chickadee: any of various small grey-and-black songbirds of North America
21
+ water ouzel, dipper: small stocky diving bird without webbed feet; frequents fast-flowing streams and feeds along the bottom
22
+ kite: any of several small graceful hawks of the family Accipitridae having long pointed wings and feeding on insects and small animals
23
+ bald eagle, American eagle, Haliaeetus leucocephalus: a large eagle of North America that has a white head and dark wings and body
24
+ vulture: any of various large diurnal birds of prey having naked heads and weak claws and feeding chiefly on carrion
25
+ great grey owl, great gray owl, Strix nebulosa: large dish-faced owl of northern North America and western Eurasia
26
+ European fire salamander, Salamandra salamandra: a kind of European salamander
27
+ common newt, Triturus vulgaris: small semiaquatic salamander
28
+ eft: a newt in its terrestrial stage of development
29
+ spotted salamander, Ambystoma maculatum: glossy black North American salamander with yellow spots
30
+ axolotl, mud puppy, Ambystoma mexicanum: larval salamander of mountain lakes of Mexico that usually lives without metamorphosing
31
+ bullfrog, Rana catesbeiana: largest North American frog; highly aquatic with a deep-pitched voice
32
+ tree frog, tree-frog: any of various Old World arboreal frogs distinguished from true frogs by adhesive suckers on the toes
33
+ tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui: western North American frog with a taillike copulatory organ
34
+ loggerhead, loggerhead turtle, Caretta caretta: very large carnivorous sea turtle; wide-ranging in warm open seas
35
+ leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea: wide-ranging marine turtle with flexible leathery carapace; largest living turtle
36
+ mud turtle: bottom-dwelling freshwater turtle inhabiting muddy rivers of North America and Central America
37
+ terrapin: any of various edible North American web-footed turtles living in fresh or brackish water
38
+ box turtle, box tortoise: chiefly terrestrial turtle of North America; shell can be closed tightly
39
+ banded gecko: any of several geckos with dark bands across the body and differing from typical geckos in having movable eyelids; of United States southwest and Florida Gulf Coast
40
+ common iguana, iguana, Iguana iguana: large herbivorous tropical American arboreal lizards with a spiny crest along the back; used as human food in Central America and South America
41
+ American chameleon, anole, Anolis carolinensis: small arboreal tropical American insectivorous lizards with the ability to change skin color
42
+ whiptail, whiptail lizard: any of numerous very agile and alert New World lizards
43
+ agama: small terrestrial lizard of warm regions of the Old World
44
+ frilled lizard, Chlamydosaurus kingi: large arboreal insectivorous Australian lizard with a ruff of skin around the neck
45
+ alligator lizard: slim short-limbed lizard having a distinctive fold on each side that permits expansion; of western North America
46
+ Gila monster, Heloderma suspectum: large orange and black lizard of southwestern United States; not dangerous unless molested
47
+ green lizard, Lacerta viridis: a common Eurasian lizard about a foot long
48
+ African chameleon, Chamaeleo chamaeleon: a chameleon found in Africa
49
+ Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis: the largest lizard in the world (10 feet); found on Indonesian islands
50
+ African crocodile, Nile crocodile, Crocodylus niloticus: a dangerous crocodile widely distributed in Africa
51
+ American alligator, Alligator mississipiensis: large alligator of the southeastern United States
52
+ triceratops: huge ceratopsian dinosaur having three horns and the neck heavily armored with a very solid frill
53
+ thunder snake, worm snake, Carphophis amoenus: small reddish wormlike snake of eastern United States
54
+ ringneck snake, ring-necked snake, ring snake: any of numerous small nonvenomous North American snakes with a yellow or orange ring around the neck
55
+ hognose snake, puff adder, sand viper: harmless North American snake with upturned nose; may spread its head and neck or play dead when disturbed
56
+ green snake, grass snake: either of two North American chiefly insectivorous snakes that are green in color
57
+ king snake, kingsnake: any of numerous nonvenomous North American constrictors; feed on other snakes and small mammals
58
+ garter snake, grass snake: any of numerous nonvenomous longitudinally-striped viviparous North American and Central American snakes
59
+ water snake: any of various mostly harmless snakes that live in or near water
60
+ vine snake: slender arboreal snake found from southern Arizona to Bolivia
61
+ night snake, Hypsiglena torquata: nocturnal prowler of western United States and Mexico
62
+ boa constrictor, Constrictor constrictor: very large boa of tropical America and West Indies
63
+ rock python, rock snake, Python sebae: very large python of tropical and southern Africa
64
+ Indian cobra, Naja naja: a cobra of tropical Africa and Asia
65
+ green mamba: green phase of the black mamba
66
+ sea snake: any of numerous venomous aquatic viviparous snakes having a fin-like tail; of warm littoral seas; feed on fish which they immobilize with quick-acting venom
67
+ horned viper, cerastes, sand viper, horned asp, Cerastes cornutus: highly venomous viper of northern Africa and southwestern Asia having a horny spine above each eye
68
+ diamondback, diamondback rattlesnake, Crotalus adamanteus: large deadly rattlesnake with diamond-shaped markings
69
+ sidewinder, horned rattlesnake, Crotalus cerastes: small pale-colored desert rattlesnake of southwestern United States; body moves in an s-shaped curve
70
+ trilobite: an extinct arthropod that was abundant in Paleozoic times; had an exoskeleton divided into three parts
71
+ harvestman, daddy longlegs, Phalangium opilio: spiderlike arachnid with a small rounded body and very long thin legs
72
+ scorpion: arachnid of warm dry regions having a long segmented tail ending in a venomous stinger
73
+ black and gold garden spider, Argiope aurantia: a widely distributed North American garden spider
74
+ barn spider, Araneus cavaticus: an orange and tan spider with darkly banded legs that spins an orb web daily; "the barn spider was made famous in E. B. White's book `Charlotte's Web'"
75
+ garden spider, Aranea diademata: a spider common in European gardens
76
+ black widow, Latrodectus mactans: venomous New World spider; the female is black with an hourglass-shaped red mark on the underside of the abdomen
77
+ tarantula: large hairy tropical spider with fangs that can inflict painful but not highly venomous bites
78
+ wolf spider, hunting spider: ground spider that hunts its prey instead of using a web
79
+ tick: any of two families of small parasitic arachnids with barbed proboscis; feed on blood of warm-blooded animals
80
+ centipede: chiefly nocturnal predacious arthropod having a flattened body of 15 to 173 segments each with a pair of legs, the foremost pair being modified as prehensors
81
+ black grouse: grouse of which the male is bluish-black
82
+ ptarmigan: large Arctic and subarctic grouse with feathered feet and usually white winter plumage
83
+ ruffed grouse, partridge, Bonasa umbellus: valued as a game bird in eastern United States and Canada
84
+ prairie chicken, prairie grouse, prairie fowl: brown mottled North American grouse of western prairies
85
+ peacock: male peafowl; having a crested head and very large fanlike tail marked with iridescent eyes or spots
86
+ quail: small gallinaceous game birds
87
+ partridge: small Old World gallinaceous game birds
88
+ African grey, African gray, Psittacus erithacus: commonly domesticated grey parrot with red-and-black tail and white face; native to equatorial Africa
89
+ macaw: long-tailed brilliantly colored parrot of Central America and South America; among the largest and showiest of parrots
90
+ sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita: white cockatoo with a yellow erectile crest
91
+ lorikeet: any of various small lories
92
+ coucal: Old World ground-living cuckoo having a long dagger-like hind claw
93
+ bee eater: colorful chiefly tropical Old World bird having a strong graceful flight; feeds on especially bees
94
+ hornbill: bird of tropical Africa and Asia having a very large bill surmounted by a bony protuberance; related to kingfishers
95
+ hummingbird: tiny American bird having brilliant iridescent plumage and long slender bills; wings are specialized for vibrating flight
96
+ jacamar: tropical American insectivorous bird having a long sharp bill and iridescent green or bronze plumage
97
+ toucan: brilliantly colored arboreal fruit-eating bird of tropical America having a very large thin-walled beak
98
+ drake: adult male of a wild or domestic duck
99
+ red-breasted merganser, Mergus serrator: widely distributed merganser of America and Europe
100
+ goose: web-footed long-necked typically gregarious migratory aquatic birds usually larger and less aquatic than ducks
101
+ black swan, Cygnus atratus: large Australian swan having black plumage and a red bill
102
+ tusker: any mammal with prominent tusks (especially an elephant or wild boar)
103
+ echidna, spiny anteater, anteater: a burrowing monotreme mammal covered with spines and having a long snout and claws for hunting ants and termites; native to Australia
104
+ platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus: small densely furred aquatic monotreme of Australia and Tasmania having a broad bill and tail and webbed feet; only species in the family Ornithorhynchidae
105
+ wallaby, brush kangaroo: any of various small or medium-sized kangaroos; often brightly colored
106
+ koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus: sluggish tailless Australian arboreal marsupial with grey furry ears and coat; feeds on eucalyptus leaves and bark
107
+ wombat: burrowing herbivorous Australian marsupials about the size of a badger
108
+ jellyfish: any of numerous usually marine and free-swimming coelenterates that constitute the sexually reproductive forms of hydrozoans and scyphozoans
109
+ sea anemone, anemone: marine polyps that resemble flowers but have oral rings of tentacles; differ from corals in forming no hard skeleton
110
+ brain coral: massive reef-building coral having a convoluted and furrowed surface
111
+ flatworm, platyhelminth: parasitic or free-living worms having a flattened body
112
+ nematode, nematode worm, roundworm: unsegmented worms with elongated rounded body pointed at both ends; mostly free-living but some are parasitic
113
+ conch: any of various edible tropical marine gastropods of the genus Strombus having a brightly-colored spiral shell with large outer lip
114
+ snail: freshwater or marine or terrestrial gastropod mollusk usually having an external enclosing spiral shell
115
+ slug: any of various terrestrial gastropods having an elongated slimy body and no external shell
116
+ sea slug, nudibranch: any of various marine gastropods of the suborder Nudibranchia having a shell-less and often beautifully colored body
117
+ chiton, coat-of-mail shell, sea cradle, polyplacophore: primitive elongated bilaterally symmetrical marine mollusk having a mantle covered with eight calcareous plates
118
+ chambered nautilus, pearly nautilus, nautilus: cephalopod of the Indian and Pacific oceans having a spiral shell with pale pearly partitions
119
+ Dungeness crab, Cancer magister: small edible crab of Pacific coast of North America
120
+ rock crab, Cancer irroratus: crab of eastern coast of North America
121
+ fiddler crab: burrowing crab of American coastal regions having one claw much enlarged in the male
122
+ king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica: large edible crab of northern Pacific waters especially along the coasts of Alaska and Japan
123
+ American lobster, Northern lobster, Maine lobster, Homarus americanus: lobster of Atlantic coast of America
124
+ spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish: large edible marine crustacean having a spiny carapace but lacking the large pincers of true lobsters
125
+ crayfish, crawfish, crawdad, crawdaddy: small freshwater decapod crustacean that resembles a lobster
126
+ hermit crab: small soft-bodied marine crustaceans living in cast-off shells of gastropods
127
+ isopod: any of various small terrestrial or aquatic crustaceans with seven pairs of legs adapted for crawling
128
+ white stork, Ciconia ciconia: the common stork of Europe; white with black wing feathers and a red bill
129
+ black stork, Ciconia nigra: Old World stork that is glossy black above and white below
130
+ spoonbill: wading birds having a long flat bill with a tip like a spoon
131
+ flamingo: large pink to scarlet web-footed wading bird with down-bent bill; inhabits brackish lakes
132
+ little blue heron, Egretta caerulea: small bluish-grey heron of the western hemisphere
133
+ American egret, great white heron, Egretta albus: a common egret of the genus Egretta found in America; it is a variety of the Old World white egret Casmerodius albus
134
+ bittern: relatively small compact tawny-brown heron with nocturnal habits and a booming cry; found in marshes
135
+ crane: large long-necked wading bird of marshes and plains in many parts of the world
136
+ limpkin, Aramus pictus: wading bird of Florida, Cuba and Jamaica having a drooping bill and a distinctive wailing call
137
+ European gallinule, Porphyrio porphyrio: purple gallinule of southern Europe
138
+ American coot, marsh hen, mud hen, water hen, Fulica americana: a coot found in North America
139
+ bustard: large heavy-bodied chiefly terrestrial game bird capable of powerful swift flight; classified with wading birds but frequents grassy steppes
140
+ ruddy turnstone, Arenaria interpres: common Arctic turnstone that winters in South America and Australia
141
+ red-backed sandpiper, dunlin, Erolia alpina: small common sandpiper that breeds in northern or Arctic regions and winters in southern United States or Mediterranean regions
142
+ redshank, Tringa totanus: a common Old World wading bird with long red legs
143
+ dowitcher: shorebird of the sandpiper family that resembles a snipe
144
+ oystercatcher, oyster catcher: black-and-white shorebird with stout legs and bill; feed on oysters etc.
145
+ pelican: large long-winged warm-water seabird having a large bill with a distensible pouch for fish
146
+ king penguin, Aptenodytes patagonica: large penguin on islands bordering the Antarctic Circle
147
+ albatross, mollymawk: large web-footed birds of the southern hemisphere having long narrow wings; noted for powerful gliding flight
148
+ grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus: medium-sized greyish-black whale of the northern Pacific
149
+ killer whale, killer, orca, grampus, sea wolf, Orcinus orca: predatory black-and-white toothed whale with large dorsal fin; common in cold seas
150
+ dugong, Dugong dugon: sirenian tusked mammal found from eastern Africa to Australia; the flat tail is bilobate
151
+ sea lion: any of several large eared seals of the northern Pacific related to fur seals but lacking their valuable coat
152
+ Chihuahua: an old breed of tiny short-haired dog with protruding eyes from Mexico held to antedate Aztec civilization
153
+ Japanese spaniel: breed of toy dogs originating in Japan having a silky black-and-white or red-and-white coat
154
+ Maltese dog, Maltese terrier, Maltese: breed of toy dogs having a long straight silky white coat
155
+ Pekinese, Pekingese, Peke: a Chinese breed of small short-legged dogs with a long silky coat and broad flat muzzle
156
+ Shih-Tzu: a Chinese breed of small dog similar to a Pekingese
157
+ Blenheim spaniel: red-and-white variety of English toy spaniel
158
+ papillon: small slender toy spaniel with erect ears and a black-spotted brown to white coat
159
+ toy terrier: a small active dog
160
+ Rhodesian ridgeback: a powerful short-haired African hunting dog having a crest of reversed hair along the spine
161
+ Afghan hound, Afghan: tall graceful breed of hound with a long silky coat; native to the Near East
162
+ basset, basset hound: smooth-haired breed of hound with short legs and long ears
163
+ beagle: a small short-legged smooth-coated breed of hound
164
+ bloodhound, sleuthhound: a breed of large powerful hound of European origin having very acute smell and used in tracking
165
+ bluetick: a very fast American hound; white mottled with bluish grey
166
+ black-and-tan coonhound: American breed of large powerful hound dogs used for hunting raccoons and other game
167
+ Walker hound, Walker foxhound: an American breed of foxhound
168
+ English foxhound: an English breed slightly larger than the American foxhounds originally used to hunt in packs
169
+ redbone: a speedy red or red-and-tan American hound
170
+ borzoi, Russian wolfhound: tall fast-moving dog breed
171
+ Irish wolfhound: large breed of hound with a rough thick coat
172
+ Italian greyhound: a toy dog developed from the greyhound
173
+ whippet: small slender dog of greyhound type developed in England
174
+ Ibizan hound, Ibizan Podenco: breed of slender agile medium-sized hound found chiefly in the Balearic Islands; said to have been bred originally by the Pharaohs of ancient Egypt
175
+ Norwegian elkhound, elkhound: breed of compact medium-sized dog with a heavy grey coat developed in Norway for hunting elk
176
+ otterhound, otter hound: hardy British hound having long pendulous ears and a thick coarse shaggy coat with an oily undercoat; bred for hunting otters
177
+ Saluki, gazelle hound: old breed of tall swift keen-eyed hunting dogs resembling greyhounds; from Egypt and southwestern Asia
178
+ Scottish deerhound, deerhound: very large and tall rough-coated dog bred for hunting deer; known as the royal dog of Scotland
179
+ Weimaraner: large breed of hound having a smooth greyish coat; originated in Germany
180
+ Staffordshire bullterrier, Staffordshire bull terrier: English breed of strong stocky dog having a broad skull and smooth coat
181
+ American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier: American breed of muscular terriers with a short close-lying stiff coat
182
+ Bedlington terrier: a light terrier groomed to resemble a lamb
183
+ Border terrier: small rough-coated terrier of British origin
184
+ Kerry blue terrier: an Irish breed of medium-sized terriers with a silky blue-grey coat
185
+ Irish terrier: medium-sized breed with a wiry brown coat; developed in Ireland
186
+ Norfolk terrier: English breed of small terrier with a straight wiry grizzled coat and dropped ears
187
+ Norwich terrier: English breed of small short-legged terrier with a straight wiry red or grey or black-and-tan coat and erect ears
188
+ Yorkshire terrier: very small breed having a long glossy coat of bluish-grey and tan
189
+ wire-haired fox terrier: a fox terrier with wiry hair
190
+ Lakeland terrier: breed of wire-haired terrier originally from the Lake District of England and used for hunting
191
+ Sealyham terrier, Sealyham: a wire-haired terrier with short legs that was first bred in Sealyham
192
+ Airedale, Airedale terrier: breed of large wiry-coated terrier bred in Yorkshire
193
+ cairn, cairn terrier: small rough-haired breed of terrier from Scotland
194
+ Australian terrier: small greyish wire-haired breed of terrier from Australia similar to the cairn
195
+ Dandie Dinmont, Dandie Dinmont terrier: a breed of small terrier with long wiry coat and drooping ears
196
+ Boston bull, Boston terrier: small pug-faced American terrier breed having a smooth brindle or black coat with white markings
197
+ miniature schnauzer: a small schnauzer
198
+ giant schnauzer: a large schnauzer
199
+ standard schnauzer: a medium-sized schnauzer
200
+ Scotch terrier, Scottish terrier, Scottie: old Scottish breed of small long-haired usually black terrier with erect tail and ears
201
+ Tibetan terrier, chrysanthemum dog: breed of medium-sized terriers bred in Tibet resembling Old English sheepdogs with fluffy curled tails
202
+ silky terrier, Sydney silky: Australian breed of toy dogs having a silky blue coat
203
+ soft-coated wheaten terrier: Irish breed of medium-sized terrier with an abundant coat any shade of wheat and very hairy head and muzzle
204
+ West Highland white terrier: small white long-coated terrier developed in Scotland
205
+ Lhasa, Lhasa apso: a breed of terrier having a long heavy coat raised in Tibet as watchdogs
206
+ flat-coated retriever: an English breed having a shiny black or liver-colored coat; retrieves game from land or water
207
+ curly-coated retriever: an English breed having a tightly curled black or liver-colored coat; retrieves game from land or water
208
+ golden retriever: an English breed having a long silky golden coat
209
+ Labrador retriever: breed originally from Labrador having a short black or golden-brown coat
210
+ Chesapeake Bay retriever: American breed having a short thick oily coat ranging from brown to light tan
211
+ German short-haired pointer: liver or liver-and-white hunting dog developed in Germany; 3/4 pointer and 1/4 bloodhound
212
+ vizsla, Hungarian pointer: Hungarian hunting dog resembling the Weimaraner but having a rich deep red coat
213
+ English setter: an English breed having a plumed tail and a soft silky coat that is chiefly white
214
+ Irish setter, red setter: an Irish breed with a chestnut-brown or mahogany-red coat
215
+ Gordon setter: a Scottish breed with a black-and-tan coat
216
+ Brittany spaniel: tall active short-tailed French breed of bird dog having a usually smooth orange- or liver-and-white coat
217
+ clumber, clumber spaniel: a thickset spaniel with longish silky hair
218
+ English springer, English springer spaniel: a breed having typically a black-and-white coat
219
+ Welsh springer spaniel: a red-and-white breed slightly smaller than the English springer spaniel
220
+ cocker spaniel, English cocker spaniel, cocker: a small breed with wavy silky hair; originally developed in England
221
+ Sussex spaniel: an English breed with short legs and a golden liver-colored coat
222
+ Irish water spaniel: breed of large spaniels developed in Ireland having a heavy coat of liver-colored curls and a topknot of long curls and a nearly hairless tail
223
+ kuvasz: long-established Hungarian breed of tall light-footed but sturdy white dog; used also as a hunting dog
224
+ schipperke: breed of small stocky black dogs originally used as watchdogs on boats in the Netherlands and Belgium
225
+ groenendael: black-coated sheepdog with a heavily plumed tail
226
+ malinois: fawn-colored short-haired sheepdog
227
+ briard: old French breed of large strong usually black dogs having a long tail and long wavy and slightly stiff coat
228
+ kelpie: an Australian sheepdog with pointed ears
229
+ komondor: Hungarian breed of large powerful shaggy-coated white dog; used also as guard dog
230
+ Old English sheepdog, bobtail: large sheepdog with a profuse shaggy bluish-grey-and-white coat and short tail; believed to trace back to the Roman occupation of Britain
231
+ Shetland sheepdog, Shetland sheep dog, Shetland: a small sheepdog resembling a collie that was developed in the Shetland Islands
232
+ collie: a silky-coated sheepdog with a long ruff and long narrow head developed in Scotland
233
+ Border collie: developed in the area between Scotland and England usually having a black coat with white on the head and tip of tail used for herding both sheep and cattle
234
+ Bouvier des Flandres, Bouviers des Flandres: rough-coated breed used originally in Belgium for herding and guarding cattle
235
+ Rottweiler: German breed of large vigorous short-haired cattle dogs
236
+ German shepherd, German shepherd dog, German police dog, alsatian: breed of large shepherd dogs used in police work and as a guide for the blind
237
+ Doberman, Doberman pinscher: medium large breed of dog of German origin with a glossy black and tan coat; used as a watchdog
238
+ miniature pinscher: small German version of a Doberman pinscher
239
+ Greater Swiss Mountain dog: the largest of the four Swiss breeds
240
+ Bernese mountain dog: large powerful long-haired black-coated Swiss dog with deep tan or russet markings on legs and white blaze and feet and chest marking; formerly used for draft
241
+ Appenzeller: a smaller of the four Swiss breeds
242
+ EntleBucher: the smallest of the Sennenhunde
243
+ boxer: a breed of stocky medium-sized short-haired dog with a brindled coat and square-jawed muzzle developed in Germany
244
+ bull mastiff: large powerful breed developed by crossing the bulldog and the mastiff
245
+ Tibetan mastiff: very large powerful rough-coated dog native to central Asia
246
+ French bulldog: small stocky version of the bulldog having a sleek coat and square head
247
+ Great Dane: very large powerful smooth-coated breed of dog
248
+ Saint Bernard, St Bernard: a Swiss alpine breed of large powerful dog with a thick coat of hair used as a rescue dog
249
+ Eskimo dog, husky: breed of heavy-coated Arctic sled dog
250
+ malamute, malemute, Alaskan malamute: breed of sled dog developed in Alaska
251
+ Siberian husky: breed of sled dog developed in northeastern Siberia; they resemble the larger Alaskan malamutes
252
+ dalmatian, coach dog, carriage dog: a large breed having a smooth white coat with black or brown spots; originated in Dalmatia
253
+ affenpinscher, monkey pinscher, monkey dog: European breed of small dog resembling a terrier with dark wiry hair and a tufted muzzle
254
+ basenji: small smooth-haired breed of African origin having a tightly curled tail and the inability to bark
255
+ pug, pug-dog: small compact smooth-coated breed of Asiatic origin having a tightly curled tail and broad flat wrinkled muzzle
256
+ Leonberg: a large dog (usually with a golden coat) produced by crossing a St Bernard and a Newfoundland
257
+ Newfoundland, Newfoundland dog: a breed of very large heavy dogs with a thick coarse usually black coat; highly intelligent dogs and vigorous swimmers; developed in Newfoundland
258
+ Great Pyrenees: bred of large heavy-coated white dogs resembling the Newfoundland
259
+ Samoyed, Samoyede: Siberian breed of white or cream-colored dog of the spitz family
260
+ Pomeranian: breed of very small compact long-haired dogs of the spitz type
261
+ chow, chow chow: breed of medium-sized dogs with a thick coat and fluffy curled tails and distinctive blue-black tongues; believed to have originated in northern China
262
+ keeshond: a spitz-like dog having a shaggy greyish coat and tightly curled tail originating in Holland
263
+ Brabancon griffon: a variety of Brussels griffon having a short smooth coat
264
+ Pembroke, Pembroke Welsh corgi: the smaller and straight-legged variety of corgi having pointed ears and a short tail
265
+ Cardigan, Cardigan Welsh corgi: slightly bowlegged variety of corgi having rounded ears and a long tail
266
+ toy poodle: the breed of very small poodles
267
+ miniature poodle: a breed of small poodles
268
+ standard poodle: a breed or medium-sized poodles
269
+ Mexican hairless: any of an old breed of small nearly hairless dogs of Mexico
270
+ timber wolf, grey wolf, gray wolf, Canis lupus: a wolf with a brindled grey coat living in forested northern regions of North America
271
+ white wolf, Arctic wolf, Canis lupus tundrarum: wolf of Arctic North America having white fur and a black-tipped tail
272
+ red wolf, maned wolf, Canis rufus, Canis niger: reddish-grey wolf of southwestern North America
273
+ coyote, prairie wolf, brush wolf, Canis latrans: small wolf native to western North America
274
+ dingo, warrigal, warragal, Canis dingo: wolflike yellowish-brown wild dog of Australia
275
+ dhole, Cuon alpinus: fierce wild dog of the forests of central and southeast Asia that hunts in packs
276
+ African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus: a powerful doglike mammal of southern and eastern Africa that hunts in large packs; now rare in settled area
277
+ hyena, hyaena: doglike nocturnal mammal of Africa and southern Asia that feeds chiefly on carrion
278
+ red fox, Vulpes vulpes: the common Old World fox; having reddish-brown fur; commonly considered a single circumpolar species
279
+ kit fox, Vulpes macrotis: small grey fox of southwestern United States; may be a subspecies of Vulpes velox
280
+ Arctic fox, white fox, Alopex lagopus: thickly-furred fox of Arctic regions; brownish in summer and white in winter
281
+ grey fox, gray fox, Urocyon cinereoargenteus: dark grey American fox; from Central America through southern United States
282
+ tabby, tabby cat: a cat with a grey or tawny coat mottled with black
283
+ tiger cat: a cat having a striped coat
284
+ Persian cat: a long-haired breed of cat
285
+ Siamese cat, Siamese: a slender short-haired blue-eyed breed of cat having a pale coat with dark ears paws face and tail tip
286
+ Egyptian cat: a domestic cat of Egypt
287
+ cougar, puma, catamount, mountain lion, painter, panther, Felis concolor: large American feline resembling a lion
288
+ lynx, catamount: short-tailed wildcats with usually tufted ears; valued for their fur
289
+ leopard, Panthera pardus: large feline of African and Asian forests usually having a tawny coat with black spots
290
+ snow leopard, ounce, Panthera uncia: large feline of upland central Asia having long thick whitish fur
291
+ jaguar, panther, Panthera onca, Felis onca: a large spotted feline of tropical America similar to the leopard; in some classifications considered a member of the genus Felis
292
+ lion, king of beasts, Panthera leo: large gregarious predatory feline of Africa and India having a tawny coat with a shaggy mane in the male
293
+ tiger, Panthera tigris: large feline of forests in most of Asia having a tawny coat with black stripes; endangered
294
+ cheetah, chetah, Acinonyx jubatus: long-legged spotted cat of Africa and southwestern Asia having nonretractile claws; the swiftest mammal; can be trained to run down game
295
+ brown bear, bruin, Ursus arctos: large ferocious bear of Eurasia
296
+ American black bear, black bear, Ursus americanus, Euarctos americanus: brown to black North American bear; smaller and less ferocious than the brown bear
297
+ ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus: white bear of Arctic regions
298
+ sloth bear, Melursus ursinus, Ursus ursinus: common coarse-haired long-snouted bear of south-central Asia
299
+ mongoose: agile grizzled Old World viverrine; preys on snakes and rodents
300
+ meerkat, mierkat: a mongoose-like viverrine of South Africa having a face like a lemur and only four toes
301
+ tiger beetle: active usually bright-colored beetle that preys on other insects
302
+ ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle: small round bright-colored and spotted beetle that usually feeds on aphids and other insect pests
303
+ ground beetle, carabid beetle: predacious shining black or metallic terrestrial beetle that destroys many injurious insects
304
+ long-horned beetle, longicorn, longicorn beetle: long-bodied beetle having very long antennae
305
+ leaf beetle, chrysomelid: brightly colored beetle that feeds on plant leaves; larvae infest roots and stems
306
+ dung beetle: any of numerous beetles that roll balls of dung on which they feed and in which they lay eggs
307
+ rhinoceros beetle: any of various large chiefly tropical beetles having horns on the head; pest on coconuts
308
+ weevil: any of several families of mostly small beetles that feed on plants and plant products; especially snout beetles and seed beetles
309
+ fly: two-winged insects characterized by active flight
310
+ bee: any of numerous hairy-bodied insects including social and solitary species
311
+ ant, emmet, pismire: social insect living in organized colonies; characteristically the males and fertile queen have wings during breeding season; wingless sterile females are the workers
312
+ grasshopper, hopper: terrestrial plant-eating insect with hind legs adapted for leaping
313
+ cricket: leaping insect; male makes chirping noises by rubbing the forewings together
314
+ walking stick, walkingstick, stick insect: any of various mostly tropical insects having long twiglike bodies
315
+ cockroach, roach: any of numerous chiefly nocturnal insects; some are domestic pests
316
+ mantis, mantid: predacious long-bodied large-eyed insect of warm regions; rests with forelimbs raised as in prayer
317
+ cicada, cicala: stout-bodied insect with large membranous wings; male has drum-like organs for producing a high-pitched drone
318
+ leafhopper: small leaping insect that sucks the juices of plants
319
+ lacewing, lacewing fly: any of two families of insects with gauzy wings (Chrysopidae and Hemerobiidae); larvae feed on insect pests such as aphids
320
+ dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk: slender-bodied non-stinging insect having iridescent wings that are outspread at rest; adults and nymphs feed on mosquitoes etc.
321
+ damselfly: slender non-stinging insect similar to but smaller than the dragonfly but having wings folded when at rest
322
+ admiral: any of several brightly colored butterflies
323
+ ringlet, ringlet butterfly: any of various butterflies belonging to the family Satyridae
324
+ monarch, monarch butterfly, milkweed butterfly, Danaus plexippus: large migratory American butterfly having deep orange wings with black and white markings; the larvae feed on milkweed
325
+ cabbage butterfly: white butterfly whose larvae (cabbageworms) feed on cabbage
326
+ sulphur butterfly, sulfur butterfly: any of numerous yellow or orange butterflies
327
+ lycaenid, lycaenid butterfly: any of various butterflies of the family Lycaenidae
328
+ starfish, sea star: echinoderms characterized by five arms extending from a central disk
329
+ sea urchin: shallow-water echinoderms having soft bodies enclosed in thin spiny globular shells
330
+ sea cucumber, holothurian: echinoderm having a flexible sausage-shaped body, tentacles surrounding the mouth and tube feet; free-living mud feeders
331
+ wood rabbit, cottontail, cottontail rabbit: common small rabbit of North America having greyish or brownish fur and a tail with a white underside; a host for Ixodes pacificus and Ixodes scapularis (Lyme disease ticks)
332
+ hare: swift timid long-eared mammal larger than a rabbit having a divided upper lip and long hind legs; young born furred and with open eyes
333
+ Angora, Angora rabbit: domestic breed of rabbit with long white silky hair
334
+ hamster: short-tailed Old World burrowing rodent with large cheek pouches
335
+ porcupine, hedgehog: relatively large rodents with sharp erectile bristles mingled with the fur
336
+ fox squirrel, eastern fox squirrel, Sciurus niger: exceptionally large arboreal squirrel of eastern United States
337
+ marmot: stocky coarse-furred burrowing rodent with a short bushy tail found throughout the northern hemisphere; hibernates in winter
338
+ beaver: large semiaquatic rodent with webbed hind feet and a broad flat tail; construct complex dams and underwater lodges
339
+ guinea pig, Cavia cobaya: stout-bodied nearly tailless domesticated cavy; often kept as a pet and widely used in research
340
+ sorrel: a horse of a brownish orange to light brown color
341
+ zebra: any of several fleet black-and-white striped African equines
342
+ hog, pig, grunter, squealer, Sus scrofa: domestic swine
343
+ wild boar, boar, Sus scrofa: Old World wild swine having a narrow body and prominent tusks from which most domestic swine come; introduced in United States
344
+ warthog: African wild swine with warty protuberances on the face and large protruding tusks
345
+ hippopotamus, hippo, river horse, Hippopotamus amphibius: massive thick-skinned herbivorous animal living in or around rivers of tropical Africa
346
+ ox: an adult castrated bull of the genus Bos; especially Bos taurus
347
+ water buffalo, water ox, Asiatic buffalo, Bubalus bubalis: an Asian buffalo that is often domesticated for use as a draft animal
348
+ bison: any of several large humped bovids having shaggy manes and large heads and short horns
349
+ ram, tup: uncastrated adult male sheep; "a British term is `tup'"
350
+ bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis: wild sheep of mountainous regions of western North America having massive curled horns
351
+ ibex, Capra ibex: wild goat of mountain areas of Eurasia and northern Africa having large recurved horns
352
+ hartebeest: a large African antelope with lyre-shaped horns that curve backward
353
+ impala, Aepyceros melampus: African antelope with ridged curved horns; moves with enormous leaps
354
+ gazelle: small swift graceful antelope of Africa and Asia having lustrous eyes
355
+ Arabian camel, dromedary, Camelus dromedarius: one-humped camel of the hot deserts of northern Africa and southwestern Asia
356
+ llama: wild or domesticated South American cud-chewing animal related to camels but smaller and lacking a hump
357
+ weasel: small carnivorous mammal with short legs and elongated body and neck
358
+ mink: slender-bodied semiaquatic mammal having partially webbed feet; valued for its fur
359
+ polecat, fitch, foulmart, foumart, Mustela putorius: dark brown mustelid of woodlands of Eurasia that gives off an unpleasant odor when threatened
360
+ black-footed ferret, ferret, Mustela nigripes: musteline mammal of prairie regions of United States; nearly extinct
361
+ otter: freshwater carnivorous mammal having webbed and clawed feet and dark brown fur
362
+ skunk, polecat, wood pussy: American musteline mammal typically ejecting an intensely malodorous fluid when startled; in some classifications put in a separate subfamily Mephitinae
363
+ badger: sturdy carnivorous burrowing mammal with strong claws; widely distributed in the northern hemisphere
364
+ armadillo: burrowing chiefly nocturnal mammal with body covered with strong horny plates
365
+ three-toed sloth, ai, Bradypus tridactylus: a sloth that has three long claws on each forefoot and each hindfoot
366
+ orangutan, orang, orangutang, Pongo pygmaeus: large long-armed ape of Borneo and Sumatra having arboreal habits
367
+ gorilla, Gorilla gorilla: largest anthropoid ape; terrestrial and vegetarian; of forests of central west Africa
368
+ chimpanzee, chimp, Pan troglodytes: intelligent somewhat arboreal ape of equatorial African forests
369
+ gibbon, Hylobates lar: smallest and most perfectly anthropoid arboreal ape having long arms and no tail; of southern Asia and East Indies
370
+ siamang, Hylobates syndactylus, Symphalangus syndactylus: large black gibbon of Sumatra having the 2nd and 3rd toes partially united by a web
371
+ guenon, guenon monkey: small slender African monkey having long hind limbs and tail and long hair around the face
372
+ patas, hussar monkey, Erythrocebus patas: reddish long-tailed monkey of west Africa
373
+ baboon: large terrestrial monkeys having doglike muzzles
374
+ macaque: short-tailed monkey of rocky regions of Asia and Africa
375
+ langur: slender long-tailed monkey of Asia
376
+ colobus, colobus monkey: arboreal monkey of western and central Africa with long silky fur and reduced thumbs
377
+ proboscis monkey, Nasalis larvatus: Borneo monkey having a long bulbous nose
378
+ marmoset: small soft-furred South American and Central American monkey with claws instead of nails
379
+ capuchin, ringtail, Cebus capucinus: monkey of Central America and South America having thick hair on the head that resembles a monk's cowl
380
+ howler monkey, howler: monkey of tropical South American forests having a loud howling cry
381
+ titi, titi monkey: small South American monkeys with long beautiful fur and long nonprehensile tail
382
+ spider monkey, Ateles geoffroyi: arboreal monkey of tropical America with long slender legs and long prehensile tail
383
+ squirrel monkey, Saimiri sciureus: small long-tailed monkey of Central American and South America with greenish fur and black muzzle
384
+ Madagascar cat, ring-tailed lemur, Lemur catta: small lemur having its tail barred with black
385
+ indri, indris, Indri indri, Indri brevicaudatus: large short-tailed lemur of Madagascar having thick silky fur in black and white and fawn
386
+ Indian elephant, Elephas maximus: Asian elephant having smaller ears and tusks primarily in the male
387
+ African elephant, Loxodonta africana: an elephant native to Africa having enormous flapping ears and ivory tusks
388
+ lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens: reddish-brown Old World raccoon-like carnivore; in some classifications considered unrelated to the giant pandas
389
+ giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca: large black-and-white herbivorous mammal of bamboo forests of China and Tibet; in some classifications considered a member of the bear family or of a separate family Ailuropodidae
390
+ barracouta, snoek: a large marine food fish common on the coasts of Australia, New Zealand, and southern Africa
391
+ eel: voracious snakelike marine or freshwater fishes with smooth slimy usually scaleless skin and having a continuous vertical fin but no ventral fins
392
+ coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch: small salmon of northern Pacific coasts and the Great Lakes
393
+ rock beauty, Holocanthus tricolor: gold and black butterflyfish found from West Indies to Brazil
394
+ anemone fish: live associated with sea anemones
395
+ sturgeon: large primitive fishes valued for their flesh and roe; widely distributed in the North Temperate Zone
396
+ gar, garfish, garpike, billfish, Lepisosteus osseus: primitive predaceous North American fish covered with hard scales and having long jaws with needlelike teeth
397
+ lionfish: brightly striped fish of the tropical Pacific having elongated spiny fins
398
+ puffer, pufferfish, blowfish, globefish: any of numerous marine fishes whose elongated spiny body can inflate itself with water or air to form a globe; several species contain a potent nerve poison; closely related to spiny puffers
399
+ abacus: a calculator that performs arithmetic functions by manually sliding counters on rods or in grooves
400
+ abaya: (Arabic) a loose black robe from head to toe; traditionally worn by Muslim women
401
+ academic gown, academic robe, judge's robe: a gown worn by academics or judges
402
+ accordion, piano accordion, squeeze box: a portable box-shaped free-reed instrument; the reeds are made to vibrate by air from the bellows controlled by the player
403
+ acoustic guitar: sound is not amplified by electrical means
404
+ aircraft carrier, carrier, flattop, attack aircraft carrier: a large warship that carries planes and has a long flat deck for takeoffs and landings
405
+ airliner: a commercial airplane that carries passengers
406
+ airship, dirigible: a steerable self-propelled aircraft
407
+ altar: a raised structure on which gifts or sacrifices to a god are made
408
+ ambulance: a vehicle that takes people to and from hospitals
409
+ amphibian, amphibious vehicle: a flat-bottomed motor vehicle that can travel on land or water
410
+ analog clock: a clock that displays the time of day by the position of hands on a dial
411
+ apiary, bee house: a shed containing a number of beehives
412
+ apron: a garment of cloth or leather or plastic that is tied about the waist and worn to protect your clothing
413
+ ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin: a bin that holds rubbish until it is collected
414
+ assault rifle, assault gun: any of the automatic rifles or semiautomatic rifles with large magazines designed for military use
415
+ backpack, back pack, knapsack, packsack, rucksack, haversack: a bag carried by a strap on your back or shoulder
416
+ bakery, bakeshop, bakehouse: a workplace where baked goods (breads and cakes and pastries) are produced or sold
417
+ balance beam, beam: a gymnastic apparatus used by women gymnasts
418
+ balloon: large tough nonrigid bag filled with gas or heated air
419
+ ballpoint, ballpoint pen, ballpen, Biro: a pen that has a small metal ball as the point of transfer of ink to paper
420
+ Band Aid: trade name for an adhesive bandage to cover small cuts or blisters
421
+ banjo: a stringed instrument of the guitar family that has long neck and circular body
422
+ bannister, banister, balustrade, balusters, handrail: a railing at the side of a staircase or balcony to prevent people from falling
423
+ barbell: a bar to which heavy discs are attached at each end; used in weightlifting
424
+ barber chair: a large fixed adjustable chair in which barbers seat their customers
425
+ barbershop: a shop where men can get their hair cut
426
+ barn: an outlying farm building for storing grain or animal feed and housing farm animals
427
+ barometer: an instrument that measures atmospheric pressure
428
+ barrel, cask: a cylindrical container that holds liquids
429
+ barrow, garden cart, lawn cart, wheelbarrow: a cart for carrying small loads; has handles and one or more wheels
430
+ baseball: a ball used in playing baseball
431
+ basketball: an inflated ball used in playing basketball
432
+ bassinet: a basket (usually hooded) used as a baby's bed
433
+ bassoon: a double-reed instrument; the tenor of the oboe family
434
+ bathing cap, swimming cap: a tight-fitting cap that keeps hair dry while swimming
435
+ bath towel: a large towel; to dry yourself after a bath
436
+ bathtub, bathing tub, bath, tub: a relatively large open container that you fill with water and use to wash the body
437
+ beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon: a car that has a long body and rear door with space behind rear seat
438
+ beacon, lighthouse, beacon light, pharos: a tower with a light that gives warning of shoals to passing ships
439
+ beaker: a flatbottomed jar made of glass or plastic; used for chemistry
440
+ bearskin, busby, shako: tall hat; worn by some British soldiers on ceremonial occasions
441
+ beer bottle: a bottle that holds beer
442
+ beer glass: a relatively large glass for serving beer
443
+ bell cote, bell cot: a small shelter for bells; has a gable or shed roof
444
+ bib: top part of an apron; covering the chest
445
+ bicycle-built-for-two, tandem bicycle, tandem: a bicycle with two sets of pedals and two seats
446
+ bikini, two-piece: a woman's very brief bathing suit
447
+ binder, ring-binder: holds loose papers or magazines
448
+ binoculars, field glasses, opera glasses: an optical instrument designed for simultaneous use by both eyes
449
+ birdhouse: a shelter for birds
450
+ boathouse: a shed at the edge of a river or lake; used to store boats
451
+ bobsled, bobsleigh, bob: a long racing sled (for 2 or more people) with a steering mechanism
452
+ bolo tie, bolo, bola tie, bola: a cord fastened around the neck with an ornamental clasp and worn as a necktie
453
+ bonnet, poke bonnet: a hat tied under the chin
454
+ bookcase: a piece of furniture with shelves for storing books
455
+ bookshop, bookstore, bookstall: a shop where books are sold
456
+ bottlecap: a cap that seals a bottle
457
+ bow: a weapon for shooting arrows, composed of a curved piece of resilient wood with a taut cord to propel the arrow
458
+ bow tie, bow-tie, bowtie: a man's tie that ties in a bow
459
+ brass, memorial tablet, plaque: a memorial made of brass
460
+ brassiere, bra, bandeau: an undergarment worn by women to support their breasts
461
+ breakwater, groin, groyne, mole, bulwark, seawall, jetty: a protective structure of stone or concrete; extends from shore into the water to prevent a beach from washing away
462
+ breastplate, aegis, egis: armor plate that protects the chest; the front part of a cuirass
463
+ broom: a cleaning implement for sweeping; bundle of straws or twigs attached to a long handle
464
+ bucket, pail: a roughly cylindrical vessel that is open at the top
465
+ buckle: fastener that fastens together two ends of a belt or strap; often has loose prong
466
+ bulletproof vest: a vest capable of resisting the impact of a bullet
467
+ bullet train, bullet: a high-speed passenger train
468
+ butcher shop, meat market: a shop in which meat and poultry (and sometimes fish) are sold
469
+ cab, hack, taxi, taxicab: a car driven by a person whose job is to take passengers where they want to go in exchange for money
470
+ caldron, cauldron: a very large pot that is used for boiling
471
+ candle, taper, wax light: stick of wax with a wick in the middle
472
+ cannon: heavy gun fired from a tank
473
+ canoe: small and light boat; pointed at both ends; propelled with a paddle
474
+ can opener, tin opener: a device for cutting cans open
475
+ cardigan: knitted jacket that is fastened up the front with buttons or a zipper
476
+ car mirror: a mirror that the driver of a car can use
477
+ carousel, carrousel, merry-go-round, roundabout, whirligig: a large, rotating machine with seats for children to ride or amusement
478
+ carpenter's kit, tool kit: a set of carpenter's tools
479
+ carton: a box made of cardboard; opens by flaps on top
480
+ car wheel: a wheel that has a tire and rim and hubcap; used to propel the car
481
+ cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM: an unattended machine (outside some banks) that dispenses money when a personal coded card is used
482
+ cassette: a container that holds a magnetic tape used for recording or playing sound or video
483
+ cassette player: electronic equipment for playing cassettes
484
+ castle: a large building formerly occupied by a ruler and fortified against attack
485
+ catamaran: a sailboat with two parallel hulls held together by single deck
486
+ CD player: a stand-alone piece of electronic equipment that either has its own display or attaches to a television set
487
+ cello, violoncello: a large stringed instrument; seated player holds it upright while playing
488
+ cellular telephone, cellular phone, cellphone, cell, mobile phone: a hand-held mobile radiotelephone for use in an area divided into small sections, each with its own short-range transmitter/receiver
489
+ chain: a series of (usually metal) rings or links fitted into one another to make a flexible ligament
490
+ chainlink fence: a fence of steel wires woven into a diamond pattern
491
+ chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour: (Middle Ages) flexible armor made of interlinked metal rings
492
+ chain saw, chainsaw: portable power saw; teeth linked to form an endless chain
493
+ chest: box with a lid; used for storage; usually large and sturdy
494
+ chiffonier, commode: a tall elegant chest of drawers
495
+ chime, bell, gong: a percussion instrument consisting of a set of tuned bells that are struck with a hammer; used as an orchestral instrument
496
+ china cabinet, china closet: a cabinet (usually with glass doors) for storing and displaying china
497
+ Christmas stocking: a stocking that is filled with small Christmas presents
498
+ church, church building: a place for public (especially Christian) worship; "the church was empty"
499
+ cinema, movie theater, movie theatre, movie house, picture palace: a theater where films are shown
500
+ cleaver, meat cleaver, chopper: a butcher's knife having a large square blade
501
+ cliff dwelling: a rock and adobe dwelling built on sheltered ledges in the sides of a cliff; "the Anasazi built cliff dwellings in the southwestern United States"
502
+ cloak: anything that covers or conceals
503
+ clog, geta, patten, sabot: footwear usually with wooden soles
504
+ cocktail shaker: a shaker for mixing cocktails
505
+ coffee mug: a mug intended for serving coffee
506
+ coffeepot: tall pot in which coffee is brewed
507
+ coil, spiral, volute, whorl, helix: a structure consisting of something wound in a continuous series of loops; "a coil of rope"
508
+ combination lock: lock that can be opened only by turning dials in a special sequence
509
+ computer keyboard, keypad: a keyboard that is a data input device for computers; arrangement of keys is modelled after the typewriter keyboard
510
+ confectionery, confectionary, candy store: a confectioner's shop
511
+ container ship, containership, container vessel: a cargo ship designed to hold containerized cargoes; "the weight of the documentation of all the consignments on board a contemporary container ship can exceed 90 pounds"
512
+ convertible: a car that has top that can be folded or removed
513
+ corkscrew, bottle screw: a bottle opener that pulls corks
514
+ cornet, horn, trumpet, trump: a brass musical instrument with a brilliant tone; has a narrow tube and a flared bell and is played by means of valves
515
+ cowboy boot: a boot with a high arch and fancy stitching; worn by American cowboys
516
+ cowboy hat, ten-gallon hat: a hat with a wide brim and a soft crown; worn by American ranch hands
517
+ cradle: a baby bed with sides and rockers
518
+ crane: lifts and moves heavy objects; lifting tackle is suspended from a pivoted boom that rotates around a vertical axis
519
+ crash helmet: a padded helmet worn by people riding bicycles or motorcycles; protects the head in case of accidents
520
+ crate: a rugged box (usually made of wood); used for shipping
521
+ crib, cot: baby bed with high sides made of slats
522
+ Crock Pot: an electric cooker that maintains a relatively low temperature
523
+ croquet ball: a wooden ball used in playing croquet
524
+ crutch: a wooden or metal staff that fits under the armpit and reaches to the ground; used by disabled person while walking
525
+ cuirass: medieval body armor that covers the chest and back
526
+ dam, dike, dyke: a barrier constructed to contain the flow of water or to keep out the sea
527
+ desk: a piece of furniture with a writing surface and usually drawers or other compartments
528
+ desktop computer: a personal computer small enough to fit conveniently in an individual workspace
529
+ dial telephone, dial phone: a telephone with a dial for registering the number to be called
530
+ diaper, nappy, napkin: garment consisting of a folded cloth drawn up between the legs and fastened at the waist; worn by infants to catch excrement
531
+ digital clock: a clock that displays the time of day digitally
532
+ digital watch: a watch with a digital display
533
+ dining table, board: a table at which meals are served; "he helped her clear the dining table"; "a feast was spread upon the board"
534
+ dishrag, dishcloth: a cloth for washing dishes
535
+ dishwasher, dish washer, dishwashing machine: a machine for washing dishes
536
+ disk brake, disc brake: hydraulic brake in which friction is applied to both sides of a spinning disk by the brake pads
537
+ dock, dockage, docking facility: landing in a harbor next to a pier where ships are loaded and unloaded or repaired; may have gates to let water in or out; "the ship arrived at the dock more than a day late"
538
+ dogsled, dog sled, dog sleigh: a sled pulled by dogs
539
+ dome: a hemispherical roof
540
+ doormat, welcome mat: a mat placed outside an exterior door for wiping the shoes before entering
541
+ drilling platform, offshore rig: drilling rig consisting of an offshore platform (floating or fixed to the sea bed) from which many oil wells can be bored radially
542
+ drum, membranophone, tympan: a musical percussion instrument; usually consists of a hollow cylinder with a membrane stretched across each end
543
+ drumstick: a stick used for playing a drum
544
+ dumbbell: an exercising weight; two spheres connected by a short bar that serves as a handle
545
+ Dutch oven: an oven consisting of a metal box for cooking in front of a fire
546
+ electric fan, blower: a fan run by an electric motor
547
+ electric guitar: a guitar whose sound is amplified by electrical means
548
+ electric locomotive: a locomotive that is powered by an electric motor
549
+ entertainment center: a wall unit containing sound and television systems
550
+ envelope: a flat (usually rectangular) container for a letter, thin package, etc.
551
+ espresso maker: a coffee maker that forces live steam under pressure through dark roasted coffee grounds
552
+ face powder: cosmetic powder for the face
553
+ feather boa, boa: a long thin fluffy scarf of feathers or fur
554
+ file, file cabinet, filing cabinet: office furniture consisting of a container for keeping papers in order
555
+ fireboat: a boat equipped to fight fires on ships or along a waterfront
556
+ fire engine, fire truck: any of various large trucks that carry firemen and equipment to the site of a fire
557
+ fire screen, fireguard: a metal screen before an open fire for protection (especially against flying sparks)
558
+ flagpole, flagstaff: a tall staff or pole on which a flag is raised
559
+ flute, transverse flute: a high-pitched woodwind instrument; a slender tube closed at one end with finger holes on one end and an opening near the closed end across which the breath is blown
560
+ folding chair: a chair that can be folded flat for storage
561
+ football helmet: a padded helmet with a face mask to protect the head of football players
562
+ forklift: a small industrial vehicle with a power operated forked platform in front that can be inserted under loads to lift and move them
563
+ fountain: a structure from which an artificially produced jet of water arises
564
+ fountain pen: a pen that is supplied with ink from a reservoir in its barrel
565
+ four-poster: a bed with posts at the four corners that can be used to support a canopy or curtains
566
+ freight car: a railway car that carries freight
567
+ French horn, horn: a brass musical instrument consisting of a conical tube that is coiled into a spiral and played by means of valves
568
+ frying pan, frypan, skillet: a pan used for frying foods
569
+ fur coat: a coat made of fur
570
+ garbage truck, dustcart: a truck for collecting domestic refuse; "in Britain a garbage truck is called a dustcart"
571
+ gasmask, respirator, gas helmet: a protective mask with a filter; protects the face and lungs against poisonous gases
572
+ gas pump, gasoline pump, petrol pump, island dispenser: a pump in a service station that draws gasoline from underground storage tanks
573
+ goblet: a drinking glass with a base and stem
574
+ go-kart: a small low motor vehicle with four wheels and an open framework; used for racing
575
+ golf ball: a small hard ball used in playing golf; dimpled to reduce wind resistance
576
+ golfcart, golf cart: a small motor vehicle in which golfers can ride between shots
577
+ gondola: long narrow flat-bottomed boat propelled by sculling; traditionally used on canals of Venice
578
+ gong, tam-tam: a percussion instrument consisting of a metal plate that is struck with a softheaded drumstick
579
+ gown: a woman's dress, usually with a close-fitting bodice and a long flared skirt, often worn on formal occasions
580
+ grand piano, grand: a piano with the strings on a horizontal harp-shaped frame; usually supported by three legs
581
+ greenhouse, nursery, glasshouse: a building with glass walls and roof; for the cultivation and exhibition of plants under controlled conditions
582
+ grille, radiator grille: grating that admits cooling air to car's radiator
583
+ grocery store, grocery, food market, market: a marketplace where groceries are sold; "the grocery store included a meat market"
584
+ guillotine: instrument of execution that consists of a weighted blade between two vertical poles; used for beheading people
585
+ hair slide: a decorative hinged clip that girls and women put in their hair to hold it in place
586
+ hair spray: toiletry consisting of a commercial preparation that is sprayed on the hair to hold it in place
587
+ half track: a motor vehicle propelled by half tracks; frequently used by the military
588
+ hammer: a hand tool with a heavy rigid head and a handle; used to deliver an impulsive force by striking
589
+ hamper: a basket usually with a cover
590
+ hand blower, blow dryer, blow drier, hair dryer, hair drier: a hand-held electric blower that can blow warm air onto the hair; used for styling hair
591
+ hand-held computer, hand-held microcomputer: a portable battery-powered computer small enough to be carried in your pocket
592
+ handkerchief, hankie, hanky, hankey: a square piece of cloth used for wiping the eyes or nose or as a costume accessory
593
+ hard disc, hard disk, fixed disk: a rigid magnetic disk mounted permanently in a drive unit
594
+ harmonica, mouth organ, harp, mouth harp: a small rectangular free-reed instrument having a row of free reeds set back in air holes and played by blowing into the desired hole
595
+ harp: a chordophone that has a triangular frame consisting of a sounding board and a pillar and a curved neck; the strings stretched between the neck and the soundbox are plucked with the fingers
596
+ harvester, reaper: farm machine that gathers a food crop from the fields
597
+ hatchet: a small ax with a short handle used with one hand (usually to chop wood)
598
+ holster: a sheath (usually leather) for carrying a handgun
599
+ home theater, home theatre: television and video equipment designed to reproduce in the home the experience of being in a movie theater
600
+ honeycomb: a framework of hexagonal cells resembling the honeycomb built by bees
601
+ hook, claw: a mechanical device that is curved or bent to suspend or hold or pull something
602
+ hoopskirt, crinoline: a skirt stiffened with hoops
603
+ horizontal bar, high bar: gymnastic apparatus consisting of a bar supported in a horizontal position by uprights at both ends
604
+ horse cart, horse-cart: heavy cart; drawn by a horse; used for farm work
605
+ hourglass: a sandglass that runs for sixty minutes
606
+ iPod: (trademark) a pocket-sized device used to play music files
607
+ iron, smoothing iron: home appliance consisting of a flat metal base that is heated and used to smooth cloth
608
+ jack-o'-lantern: lantern carved from a pumpkin
609
+ jean, blue jean, denim: (usually plural) close-fitting trousers of heavy denim for manual work or casual wear
610
+ jeep, landrover: a car suitable for traveling over rough terrain
611
+ jersey, T-shirt, tee shirt: a close-fitting pullover shirt
612
+ jigsaw puzzle: a puzzle that requires you to reassemble a picture that has been mounted on a stiff base and cut into interlocking pieces
613
+ jinrikisha, ricksha, rickshaw: a small two-wheeled cart for one passenger; pulled by one person
614
+ joystick: a manual control consisting of a vertical handle that can move freely in two directions; used as an input device to computers or to devices controlled by computers
615
+ kimono: a loose robe; imitated from robes originally worn by Japanese
616
+ knee pad: protective garment consisting of a pad worn by football or baseball or hockey players
617
+ knot: any of various fastenings formed by looping and tying a rope (or cord) upon itself or to another rope or to another object
618
+ lab coat, laboratory coat: a light coat worn to protect clothing from substances used while working in a laboratory
619
+ ladle: a spoon-shaped vessel with a long handle; frequently used to transfer liquids from one container to another
620
+ lampshade, lamp shade: a protective ornamental shade used to screen a light bulb from direct view
621
+ laptop, laptop computer: a portable computer small enough to use in your lap
622
+ lawn mower, mower: garden tool for mowing grass on lawns
623
+ lens cap, lens cover: cap used to keep lens free of dust when not in use
624
+ letter opener, paper knife, paperknife: dull knife used to cut open the envelopes in which letters are mailed or to slit uncut pages of books
625
+ library: a building that houses a collection of books and other materials
626
+ lifeboat: a strong sea boat designed to rescue people from a sinking ship
627
+ lighter, light, igniter, ignitor: a device for lighting or igniting fuel or charges or fires; "do you have a light?"
628
+ limousine, limo: large luxurious car; usually driven by a chauffeur
629
+ liner, ocean liner: a large commercial ship (especially one that carries passengers on a regular schedule)
630
+ lipstick, lip rouge: makeup that is used to color the lips
631
+ Loafer: a low leather step-in shoe; the top resembles a moccasin but it has a broad flat heel
632
+ lotion: any of various cosmetic preparations that are applied to the skin
633
+ loudspeaker, speaker, speaker unit, loudspeaker system, speaker system: electro-acoustic transducer that converts electrical signals into sounds loud enough to be heard at a distance
634
+ loupe, jeweler's loupe: small magnifying glass (usually set in an eyepiece) used by jewelers and horologists
635
+ lumbermill, sawmill: a mill for dressing logs and lumber
636
+ magnetic compass: compass based on an indicator (as a magnetic needle) that points to the magnetic north
637
+ mailbag, postbag: letter carrier's shoulder bag; "in Britain they call a mailbag a postbag"
638
+ mailbox, letter box: a private box for delivery of mail
639
+ maillot: tights for dancers or gymnasts
640
+ maillot, tank suit: a woman's one-piece bathing suit
641
+ manhole cover: a flush iron cover for a manhole (as in a street)
642
+ maraca: a percussion instrument consisting of a hollow gourd containing pebbles or beans; often played in pairs
643
+ marimba, xylophone: a percussion instrument with wooden bars tuned to produce a chromatic scale and with resonators; played with small mallets
644
+ mask: a covering to disguise or conceal the face
645
+ matchstick: a short thin stick of wood used in making matches
646
+ maypole: a vertical pole or post decorated with streamers that can be held by dancers celebrating May Day
647
+ maze, labyrinth: complex system of paths or tunnels in which it is easy to get lost
648
+ measuring cup: graduated cup used to measure liquid or granular ingredients
649
+ medicine chest, medicine cabinet: cabinet that holds medicines and toiletries
650
+ megalith, megalithic structure: memorial consisting of a very large stone forming part of a prehistoric structure (especially in western Europe)
651
+ microphone, mike: device for converting sound waves into electrical energy
652
+ microwave, microwave oven: kitchen appliance that cooks food by passing an electromagnetic wave through it; heat results from the absorption of energy by the water molecules in the food
653
+ military uniform: prescribed identifying uniform for soldiers
654
+ milk can: large can for transporting milk
655
+ minibus: a light bus (4 to 10 passengers)
656
+ miniskirt, mini: a very short skirt
657
+ minivan: a small box-shaped passenger van; usually has removable seats; used as a family car
658
+ missile: a rocket carrying a warhead of conventional or nuclear explosives; may be ballistic or directed by remote control
659
+ mitten: glove that encases the thumb separately and the other four fingers together
660
+ mixing bowl: bowl used with an electric mixer
661
+ mobile home, manufactured home: a large house trailer that can be connected to utilities and can be parked in one place and used as permanent housing
662
+ Model T: the first widely available automobile powered by a gasoline engine; mass-produced by Henry Ford from 1908 to 1927
663
+ modem: (from a combination of MOdulate and DEModulate) electronic equipment consisting of a device used to connect computers by a telephone line
664
+ monastery: the residence of a religious community
665
+ monitor: electronic equipment that is used to check the quality or content of electronic transmissions
666
+ moped: a motorbike that can be pedaled or driven by a low-powered gasoline engine
667
+ mortar: a bowl-shaped vessel in which substances can be ground and mixed with a pestle
668
+ mortarboard: an academic cap with a flat square with a tassel on top
669
+ mosque: (Islam) a Muslim place of worship that usually has a minaret
670
+ mosquito net: a fine net or screen (especially around beds) to protect against mosquitos
671
+ motor scooter, scooter: a wheeled vehicle with small wheels and a low-powered gasoline engine geared to the rear wheel
672
+ mountain bike, all-terrain bike, off-roader: a bicycle with a sturdy frame and fat tires; originally designed for riding in mountainous country
673
+ mountain tent: a lightweight tent with a floor; flaps close with a zipper
674
+ mouse, computer mouse: a hand-operated electronic device that controls the coordinates of a cursor on your computer screen as you move it around on a pad; on the bottom of the device is a ball that rolls on the surface of the pad; "a mouse takes much more room than a trackball"
675
+ mousetrap: a trap for catching mice
676
+ moving van: a van used for moving home or office furniture
677
+ muzzle: a leather or wire restraint that fits over an animal's snout (especially a dog's nose and jaws) and prevents it from eating or biting
678
+ nail: a thin pointed piece of metal that is hammered into materials as a fastener
679
+ neck brace: a brace worn to steady the neck
680
+ necklace: jewelry consisting of a cord or chain (often bearing gems) worn about the neck as an ornament (especially by women)
681
+ nipple: a flexible cap on a baby's feeding bottle or pacifier
682
+ notebook, notebook computer: a small compact portable computer
683
+ obelisk: a stone pillar having a rectangular cross section tapering towards a pyramidal top
684
+ oboe, hautboy, hautbois: a slender double-reed instrument; a woodwind with a conical bore and a double-reed mouthpiece
685
+ ocarina, sweet potato: egg-shaped terra cotta wind instrument with a mouthpiece and finger holes
686
+ odometer, hodometer, mileometer, milometer: a meter that shows mileage traversed
687
+ oil filter: a filter that removes impurities from the oil used to lubricate an internal-combustion engine
688
+ organ, pipe organ: wind instrument whose sound is produced by means of pipes arranged in sets supplied with air from a bellows and controlled from a large complex musical keyboard
689
+ oscilloscope, scope, cathode-ray oscilloscope, CRO: electronic equipment that provides visual images of varying electrical quantities
690
+ overskirt: an outer skirt worn over another skirt
691
+ oxcart: a cart that is drawn by an ox
692
+ oxygen mask: a breathing device that is placed over the mouth and nose; supplies oxygen from an attached storage tank
693
+ packet: a small package or bundle
694
+ paddle, boat paddle: a short light oar used without an oarlock to propel a canoe or small boat
695
+ paddlewheel, paddle wheel: a large wheel fitted with paddles and driven by an engine in order to propel a boat
696
+ padlock: a detachable lock; has a hinged shackle that can be passed through the staple of a hasp or the links in a chain and then snapped shut
697
+ paintbrush: a brush used as an applicator (to apply paint)
698
+ pajama, pyjama, pj's, jammies: (usually plural) loose-fitting nightclothes worn for sleeping or lounging; have a jacket top and trousers
699
+ palace: official residence of an exalted person (as a sovereign)
700
+ panpipe, pandean pipe, syrinx: a primitive wind instrument consisting of several parallel pipes bound together
701
+ paper towel: a disposable towel made of absorbent paper
702
+ parachute, chute: rescue equipment consisting of a device that fills with air and retards your fall
703
+ parallel bars, bars: gymnastic apparatus consisting of two parallel wooden rods supported on uprights
704
+ park bench: a bench in a public park
705
+ parking meter: a coin-operated timer located next to a parking space; depositing money into it entitles you to park your car there for a specified length of time
706
+ passenger car, coach, carriage: a railcar where passengers ride
707
+ patio, terrace: usually paved outdoor area adjoining a residence
708
+ pay-phone, pay-station: a coin-operated telephone
709
+ pedestal, plinth, footstall: an architectural support or base (as for a column or statue)
710
+ pencil box, pencil case: a box for holding pencils
711
+ pencil sharpener: a rotary implement for sharpening the point on pencils
712
+ perfume, essence: a toiletry that emits and diffuses a fragrant odor
713
+ Petri dish: a shallow dish used to culture bacteria
714
+ photocopier: a copier that uses photographic methods of making copies
715
+ pick, plectrum, plectron: a small thin device (of metal or plastic or ivory) used to pluck a stringed instrument
716
+ pickelhaube: a spiked helmet worn by German soldiers
717
+ picket fence, paling: a fence made of upright pickets
718
+ pickup, pickup truck: a light truck with an open body and low sides and a tailboard
719
+ pier: a support for two adjacent bridge spans
720
+ piggy bank, penny bank: a child's coin bank (often shaped like a pig)
721
+ pill bottle: a small bottle for holding pills
722
+ pillow: a cushion to support the head of a sleeping person
723
+ ping-pong ball: light hollow ball used in playing table tennis
724
+ pinwheel: a wheel that has numerous pins that are set at right angles to its rim; "he spun the pinwheel and it stopped with the pointer on `Go'"
725
+ pirate, pirate ship: a ship that is manned by pirates
726
+ pitcher, ewer: an open vessel with a handle and a spout for pouring
727
+ plane, carpenter's plane, woodworking plane: a carpenter's hand tool with an adjustable blade for smoothing or shaping wood; "the cabinetmaker used a plane for the finish work"
728
+ planetarium: a building housing an instrument for projecting the positions of the planets onto a domed ceiling
729
+ plastic bag: a bag made of thin plastic material
730
+ plate rack: a rack for holding plates to dry after they have been washed
731
+ plow, plough: a farm tool having one or more heavy blades to break the soil and cut a furrow prior to sowing
732
+ plunger, plumber's helper: hand tool consisting of a stick with a rubber suction cup at one end; used to clean clogged drains
733
+ Polaroid camera, Polaroid Land camera: a camera that develops and produces a positive print within seconds
734
+ pole: a long (usually round) rod of wood or metal or plastic
735
+ police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria: van used by police to transport prisoners
736
+ poncho: a blanket-like cloak with a hole in the center for the head
737
+ pool table, billiard table, snooker table: game equipment consisting of a heavy table on which pool is played
738
+ pop bottle, soda bottle: a bottle for holding soft drinks
739
+ pot, flowerpot: a container in which plants are cultivated
740
+ potter's wheel: a horizontal rotating wheel holding the clay being shaped by a potter; "the potter's wheel was invented in Asia Minor around 6500 BC"
741
+ power drill: a power tool for drilling holes into hard materials
742
+ prayer rug, prayer mat: a small rug used by Muslims during their devotions
743
+ printer: (computer science) an output device that prints the results of data processing
744
+ prison, prison house: a correctional institution where persons are confined while on trial or for punishment
745
+ projectile, missile: a weapon that is forcibly thrown or projected at a targets but is not self-propelled
746
+ projector: an optical instrument that projects an enlarged image onto a screen
747
+ puck, hockey puck: a vulcanized rubber disk 3 inches in diameter that is used instead of a ball in ice hockey
748
+ punching bag, punch bag, punching ball, punchball: an inflated ball or bag that is suspended and punched for training in boxing
749
+ purse: a small bag for carrying money
750
+ quill, quill pen: pen made from a bird's feather
751
+ quilt, comforter, comfort, puff: bedding made of two layers of cloth filled with stuffing and stitched together
752
+ racer, race car, racing car: a fast car that competes in races
753
+ racket, racquet: a sports implement (usually consisting of a handle and an oval frame with a tightly interlaced network of strings) used to strike a ball (or shuttlecock) in various games
754
+ radiator: a mechanism consisting of a metal honeycomb through which hot fluids circulate; heat is transferred from the fluid through the honeycomb to the airstream that is created either by the motion of the vehicle or by a fan
755
+ radio, wireless: a communication system based on broadcasting electromagnetic waves
756
+ radio telescope, radio reflector: astronomical telescope that picks up electromagnetic radiations in the radio-frequency range from extraterrestrial sources
757
+ rain barrel: a barrel used as a cistern to hold rainwater
758
+ recreational vehicle, RV, R.V.: a motorized wheeled vehicle used for camping or other recreational activities
759
+ reel: winder consisting of a revolving spool with a handle; attached to a fishing rod
760
+ reflex camera: camera that allows the photographer to view and focus the exact scene being photographed
761
+ refrigerator, icebox: white goods in which food can be stored at low temperatures
762
+ remote control, remote: a device that can be used to control a machine or apparatus from a distance; "he lost the remote for his TV"
763
+ restaurant, eating house, eating place, eatery: a building where people go to eat
764
+ revolver, six-gun, six-shooter: a pistol with a revolving cylinder (usually having six chambers for bullets)
765
+ rifle: a shoulder firearm with a long barrel and a rifled bore; "he lifted the rifle to his shoulder and fired"
766
+ rocking chair, rocker: a chair mounted on rockers
767
+ rotisserie: an oven or broiler equipped with a rotating spit on which meat cooks as it turns
768
+ rubber eraser, rubber, pencil eraser: an eraser made of rubber (or of a synthetic material with properties similar to rubber); commonly mounted at one end of a pencil
769
+ rugby ball: inflated oval ball used in playing rugby
770
+ rule, ruler: measuring stick consisting of a strip of wood or metal or plastic with a straight edge that is used for drawing straight lines and measuring lengths
771
+ running shoe: a light comfortable shoe designed for running
772
+ safe: strongbox where valuables can be safely kept
773
+ safety pin: a pin in the form of a clasp; has a guard so the point of the pin will not stick the user
774
+ saltshaker, salt shaker: a shaker with a perforated top for sprinkling salt
775
+ sandal: a shoe consisting of a sole fastened by straps to the foot
776
+ sarong: a loose skirt consisting of brightly colored fabric wrapped around the body; worn by both women and men in the South Pacific
777
+ sax, saxophone: a single-reed woodwind with a conical bore
778
+ scabbard: a sheath for a sword or dagger or bayonet
779
+ scale, weighing machine: a measuring instrument for weighing; shows amount of mass
780
+ school bus: a bus used to transport children to or from school
781
+ schooner: sailing vessel used in former times
782
+ scoreboard: a large board for displaying the score of a contest (and some other information)
783
+ screen, CRT screen: the display that is electronically created on the surface of the large end of a cathode-ray tube
784
+ screw: a fastener with a tapered threaded shank and a slotted head
785
+ screwdriver: a hand tool for driving screws; has a tip that fits into the head of a screw
786
+ seat belt, seatbelt: a safety belt used in a car or plane to hold you in your seat in case of an accident
787
+ sewing machine: a textile machine used as a home appliance for sewing
788
+ shield, buckler: armor carried on the arm to intercept blows
789
+ shoe shop, shoe-shop, shoe store: a shop where shoes are sold
790
+ shoji: a translucent screen made of a wooden frame covered with rice paper
791
+ shopping basket: a handbasket used to carry goods while shopping
792
+ shopping cart: a handcart that holds groceries or other goods while shopping
793
+ shovel: a hand tool for lifting loose material; consists of a curved container or scoop and a handle
794
+ shower cap: a tight cap worn to keep hair dry while showering
795
+ shower curtain: a curtain that keeps water from splashing out of the shower area
796
+ ski: narrow wood or metal or plastic runners used in pairs for gliding over snow
797
+ ski mask: a woolen face mask to protect the face from cold while skiing on snow
798
+ sleeping bag: large padded bag designed to be slept in outdoors; usually rolls up like a bedroll
799
+ slide rule, slipstick: analog computer consisting of a handheld instrument used for rapid calculations; have been replaced by pocket calculators
800
+ sliding door: a door that opens by sliding instead of swinging
801
+ slot, one-armed bandit: a slot machine that is used for gambling; "they spend hours and hours just playing the slots"
802
+ snorkel: breathing device consisting of a bent tube fitting into a swimmer's mouth and extending above the surface; allows swimmer to breathe while face down in the water
803
+ snowmobile: tracked vehicle for travel on snow having skis in front
804
+ snowplow, snowplough: a vehicle used to push snow from roads
805
+ soap dispenser: dispenser of liquid soap
806
+ soccer ball: an inflated ball used in playing soccer
807
+ sock: hosiery consisting of a cloth covering for the foot; worn inside the shoe; reaches to between the ankle and the knee
808
+ solar dish, solar collector, solar furnace: a concave mirror that concentrates the rays of the sun; can produce high temperatures
809
+ sombrero: a straw hat with a tall crown and broad brim; worn in American southwest and in Mexico
810
+ soup bowl: a bowl for serving soup
811
+ space bar: the bar-shaped typewriter key that introduces spaces when used
812
+ space heater: heater consisting of a self-contained (usually portable) unit to warm a room
813
+ space shuttle: a reusable spacecraft with wings for a controlled descent through the Earth's atmosphere
814
+ spatula: a turner with a narrow flexible blade
815
+ speedboat: a fast motorboat
816
+ spider web, spider's web: a web resembling the webs spun by spiders
817
+ spindle: a stick or pin used to twist the yarn in spinning
818
+ sports car, sport car: a small low car with a high-powered engine; usually seats two persons
819
+ spotlight, spot: a lamp that produces a strong beam of light to illuminate a restricted area; used to focus attention of a stage performer
820
+ stage: a large platform on which people can stand and can be seen by an audience; "he clambered up onto the stage and got the actors to help him into the box"
821
+ steam locomotive: a locomotive powered by a steam engine
822
+ steel arch bridge: a steel bridge constructed in the form of an arch
823
+ steel drum: a concave percussion instrument made from the metal top of an oil drum; has an array of flattened areas that produce different tones when struck (of Caribbean origin)
824
+ stethoscope: a medical instrument for listening to the sounds generated inside the body
825
+ stole: a wide scarf worn about their shoulders by women
826
+ stone wall: a fence built of rough stones; used to separate fields
827
+ stopwatch, stop watch: a timepiece that can be started or stopped for exact timing (as of a race)
828
+ stove: any heating apparatus
829
+ strainer: a filter to retain larger pieces while smaller pieces and liquids pass through
830
+ streetcar, tram, tramcar, trolley, trolley car: a wheeled vehicle that runs on rails and is propelled by electricity
831
+ stretcher: a litter for transporting people who are ill or wounded or dead; usually consists of a sheet of canvas stretched between two poles
832
+ studio couch, day bed: convertible consisting of an upholstered couch that can be converted into a double bed
833
+ stupa, tope: a dome-shaped shrine erected by Buddhists
834
+ submarine, pigboat, sub, U-boat: a submersible warship usually armed with torpedoes
835
+ suit, suit of clothes: a set of garments (usually including a jacket and trousers or skirt) for outerwear all of the same fabric and color; "they buried him in his best suit"
836
+ sundial: timepiece that indicates the daylight hours by the shadow that the gnomon casts on a calibrated dial
837
+ sunglass: a convex lens that focuses the rays of the sun; used to start a fire
838
+ sunglasses, dark glasses, shades: spectacles that are darkened or polarized to protect the eyes from the glare of the sun; "he was wearing a pair of mirrored shades"
839
+ sunscreen, sunblock, sun blocker: a cream spread on the skin; contains a chemical (as PABA) to filter out ultraviolet light and so protect from sunburn
840
+ suspension bridge: a bridge that has a roadway supported by cables that are anchored at both ends
841
+ swab, swob, mop: cleaning implement consisting of absorbent material fastened to a handle; for cleaning floors
842
+ sweatshirt: cotton knit pullover with long sleeves worn during athletic activity
843
+ swimming trunks, bathing trunks: swimsuit worn by men while swimming
844
+ swing: mechanical device used as a plaything to support someone swinging back and forth
845
+ switch, electric switch, electrical switch: control consisting of a mechanical or electrical or electronic device for making or breaking or changing the connections in a circuit
846
+ syringe: a medical instrument used to inject or withdraw fluids
847
+ table lamp: a lamp that sits on a table
848
+ tank, army tank, armored combat vehicle, armoured combat vehicle: an enclosed armored military vehicle; has a cannon and moves on caterpillar treads
849
+ tape player: electronic equipment for playing back magnetic tapes
850
+ teapot: pot for brewing tea; usually has a spout and handle
851
+ teddy, teddy bear: plaything consisting of a child's toy bear (usually plush and stuffed with soft materials)
852
+ television, television system: a telecommunication system that transmits images of objects (stationary or moving) between distant points
853
+ tennis ball: ball about the size of a fist used in playing tennis
854
+ thatch, thatched roof: a house roof made with a plant material (as straw)
855
+ theater curtain, theatre curtain: a hanging cloth that conceals the stage from the view of the audience; rises or parts at the beginning and descends or closes between acts and at the end of a performance
856
+ thimble: a small metal cap to protect the finger while sewing; can be used as a small container
857
+ thresher, thrasher, threshing machine: a farm machine for separating seeds or grain from the husks and straw
858
+ throne: the chair of state for a monarch, bishop, etc.; "the king sat on his throne"
859
+ tile roof: a roof made of fired clay tiles
860
+ toaster: a kitchen appliance (usually electric) for toasting bread
861
+ tobacco shop, tobacconist shop, tobacconist: a shop that sells pipes and pipe tobacco and cigars and cigarettes
862
+ toilet seat: the hinged seat on a toilet
863
+ torch: a light usually carried in the hand; consists of some flammable substance
864
+ totem pole: a tribal emblem consisting of a pillar carved and painted with totemic figures; erected by Indian tribes of the northwest Pacific coast
865
+ tow truck, tow car, wrecker: a truck equipped to hoist and pull wrecked cars (or to remove cars from no-parking zones)
866
+ toyshop: shop where toys are sold
867
+ tractor: a wheeled vehicle with large wheels; used in farming and other applications
868
+ trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi: a truck consisting of a tractor and trailer together
869
+ tray: an open receptacle for holding or displaying or serving articles or food
870
+ trench coat: a military style raincoat; belted with deep pockets
871
+ tricycle, trike, velocipede: a vehicle with three wheels that is moved by foot pedals
872
+ trimaran: a fast sailboat with 3 parallel hulls
873
+ tripod: a three-legged rack used for support
874
+ triumphal arch: a monumental archway; usually they are built to commemorate some notable victory
875
+ trolleybus, trolley coach, trackless trolley: a passenger bus with an electric motor that draws power from overhead wires
876
+ trombone: a brass instrument consisting of a long tube whose length can be varied by a U-shaped slide
877
+ tub, vat: a large open vessel for holding or storing liquids
878
+ turnstile: a gate consisting of a post that acts as a pivot for rotating arms; set in a passageway for controlling the persons entering
879
+ typewriter keyboard: a keyboard for manually entering characters to be printed
880
+ umbrella: a lightweight handheld collapsible canopy
881
+ unicycle, monocycle: a vehicle with a single wheel that is driven by pedals
882
+ upright, upright piano: a piano with a vertical sounding board
883
+ vacuum, vacuum cleaner: an electrical home appliance that cleans by suction
884
+ vase: an open jar of glass or porcelain used as an ornament or to hold flowers
885
+ vault: an arched brick or stone ceiling or roof
886
+ velvet: a silky densely piled fabric with a plain back
887
+ vending machine: a slot machine for selling goods
888
+ vestment: gown (especially ceremonial garments) worn by the clergy
889
+ viaduct: bridge consisting of a series of arches supported by piers used to carry a road (or railroad) over a valley
890
+ violin, fiddle: bowed stringed instrument that is the highest member of the violin family; this instrument has four strings and a hollow body and an unfretted fingerboard and is played with a bow
891
+ volleyball: an inflated ball used in playing volleyball
892
+ waffle iron: a kitchen appliance for baking waffles; the appliance usually consists of two indented metal pans hinged together so that they create a pattern on the waffle
893
+ wall clock: a clock mounted on a wall
894
+ wallet, billfold, notecase, pocketbook: a pocket-size case for holding papers and paper money
895
+ wardrobe, closet, press: a tall piece of furniture that provides storage space for clothes; has a door and rails or hooks for hanging clothes
896
+ warplane, military plane: an aircraft designed and used for combat
897
+ washbasin, handbasin, washbowl, lavabo, wash-hand basin: a basin for washing the hands (`wash-hand basin' is a British expression)
898
+ washer, automatic washer, washing machine: a home appliance for washing clothes and linens automatically
899
+ water bottle: a bottle for holding water
900
+ water jug: a jug that holds water
901
+ water tower: a large reservoir for water
902
+ whiskey jug: a jug that contains whiskey
903
+ whistle: acoustic device that forces air or steam against an edge or into a cavity and so produces a loud shrill sound
904
+ wig: hairpiece covering the head and made of real or synthetic hair
905
+ window screen: screen to keep insects from entering a building through the open window
906
+ window shade: an opaque window blind that can cover or uncover a window
907
+ Windsor tie: a wide necktie worn in a loose bow
908
+ wine bottle: a bottle for holding wine
909
+ wing: one of the horizontal airfoils on either side of the fuselage of an airplane
910
+ wok: pan with a convex bottom; used for frying in Chinese cooking
911
+ wooden spoon: a spoon made of wood
912
+ wool, woolen, woollen: a fabric made from the hair of sheep
913
+ worm fence, snake fence, snake-rail fence, Virginia fence: rail fence consisting of a zigzag of interlocking rails
914
+ wreck: a ship that has been destroyed at sea
915
+ yawl: a ship's small boat (usually rowed by 4 or 6 oars)
916
+ yurt: a circular domed dwelling that is portable and self-supporting; originally used by nomadic Mongol and Turkic people of central Asia but now used as inexpensive alternative or temporary housing
917
+ web site, website, internet site, site: a computer connected to the internet that maintains a series of web pages on the World Wide Web; "the Israeli web site was damaged by hostile hackers"
918
+ comic book: a magazine devoted to comic strips
919
+ crossword puzzle, crossword: a puzzle in which words corresponding to numbered clues are to be found and written in to squares in the puzzle
920
+ street sign: a sign visible from the street
921
+ traffic light, traffic signal, stoplight: a visual signal to control the flow of traffic at intersections
922
+ book jacket, dust cover, dust jacket, dust wrapper: a paper jacket for a book; a jacket on which promotional information is usually printed
923
+ menu: the dishes making up a meal
924
+ plate: a main course served on a plate; "a vegetable plate"; "the blue plate special"
925
+ guacamole: a dip made of mashed avocado mixed with chopped onions and other seasonings
926
+ consomme: clear soup usually of beef or veal or chicken
927
+ hot pot, hotpot: a stew of meat and potatoes cooked in a tightly covered pot
928
+ trifle: a cold pudding made of layers of sponge cake spread with fruit or jelly; may be decorated with nuts, cream, or chocolate
929
+ ice cream, icecream: frozen dessert containing cream and sugar and flavoring
930
+ ice lolly, lolly, lollipop, popsicle: ice cream or water ice on a small wooden stick; "in England a popsicle is called an ice lolly"
931
+ French loaf: a loaf of French bread
932
+ bagel, beigel: (Yiddish) glazed yeast-raised doughnut-shaped roll with hard crust
933
+ pretzel: glazed and salted cracker typically in the shape of a loose knot
934
+ cheeseburger: a hamburger with melted cheese on it
935
+ hotdog, hot dog, red hot: a frankfurter served hot on a bun
936
+ mashed potato: potato that has been peeled and boiled and then mashed
937
+ head cabbage: any of several varieties of cabbage having a large compact globular head; may be steamed or boiled or stir-fried or used raw in coleslaw
938
+ broccoli: branched green undeveloped flower heads
939
+ cauliflower: compact head of white undeveloped flowers
940
+ zucchini, courgette: small cucumber-shaped vegetable marrow; typically dark green
941
+ spaghetti squash: medium-sized oval squash with flesh in the form of strings that resemble spaghetti
942
+ acorn squash: small dark green or yellow ribbed squash with yellow to orange flesh
943
+ butternut squash: buff-colored squash with a long usually straight neck and sweet orange flesh
944
+ cucumber, cuke: cylindrical green fruit with thin green rind and white flesh eaten as a vegetable; related to melons
945
+ artichoke, globe artichoke: a thistlelike flower head with edible fleshy leaves and heart
946
+ bell pepper: large bell-shaped sweet pepper in green or red or yellow or orange or black varieties
947
+ cardoon: only parts eaten are roots and especially stalks (blanched and used as celery); related to artichokes
948
+ mushroom: fleshy body of any of numerous edible fungi
949
+ Granny Smith: apple with a green skin and hard tart flesh
950
+ strawberry: sweet fleshy red fruit
951
+ orange: round yellow to orange fruit of any of several citrus trees
952
+ lemon: yellow oval fruit with juicy acidic flesh
953
+ fig: fleshy sweet pear-shaped yellowish or purple multiple fruit eaten fresh or preserved or dried
954
+ pineapple, ananas: large sweet fleshy tropical fruit with a terminal tuft of stiff leaves; widely cultivated
955
+ banana: elongated crescent-shaped yellow fruit with soft sweet flesh
956
+ jackfruit, jak, jack: immense East Indian fruit resembling breadfruit; it contains an edible pulp and nutritious seeds that are commonly roasted
957
+ custard apple: the fruit of any of several tropical American trees of the genus Annona having soft edible pulp
958
+ pomegranate: large globular fruit having many seeds with juicy red pulp in a tough brownish-red rind
959
+ hay: grass mowed and cured for use as fodder
960
+ carbonara: sauce for pasta; contains eggs and bacon or ham and grated cheese
961
+ chocolate sauce, chocolate syrup: sauce made with unsweetened chocolate or cocoa and sugar and water
962
+ dough: a flour mixture stiff enough to knead or roll
963
+ meat loaf, meatloaf: a baked loaf of ground meat
964
+ pizza, pizza pie: Italian open pie made of thin bread dough spread with a spiced mixture of e.g. tomato sauce and cheese
965
+ potpie: deep-dish meat and vegetable pie or a meat stew with dumplings
966
+ burrito: a flour tortilla folded around a filling
967
+ red wine: wine having a red color derived from skins of dark-colored grapes
968
+ espresso: strong black coffee brewed by forcing hot water under pressure through finely ground coffee beans
969
+ cup: a punch served in a pitcher instead of a punch bowl
970
+ eggnog: a punch made of sweetened milk or cream mixed with eggs and usually alcoholic liquor
971
+ alp: any high mountain
972
+ bubble: a hollow globule of gas (e.g., air or carbon dioxide)
973
+ cliff, drop, drop-off: a steep high face of rock; "he stood on a high cliff overlooking the town"; "a steep drop"
974
+ coral reef: a reef consisting of coral consolidated into limestone
975
+ geyser: a spring that discharges hot water and steam
976
+ lakeside, lakeshore: the shore of a lake
977
+ promontory, headland, head, foreland: a natural elevation (especially a rocky one that juts out into the sea)
978
+ sandbar, sand bar: a bar of sand
979
+ seashore, coast, seacoast, sea-coast: the shore of a sea or ocean
980
+ valley, vale: a long depression in the surface of the land that usually contains a river
981
+ volcano: a mountain formed by volcanic material
982
+ ballplayer, baseball player: an athlete who plays baseball
983
+ groom, bridegroom: a man participant in his own marriage ceremony
984
+ scuba diver: an underwater diver who uses scuba gear
985
+ rapeseed: seed of rape plants; source of an edible oil
986
+ daisy: any of numerous composite plants having flower heads with well-developed ray flowers usually arranged in a single whorl
987
+ yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum: maroon to purple-brown orchid with yellow lip; Europe, North America and Japan
988
+ corn: the dried grains or kernels or corn used as animal feed or ground for meal
989
+ acorn: fruit of the oak tree: a smooth thin-walled nut in a woody cup-shaped base
990
+ hip, rose hip, rosehip: the fruit of a rose plant
991
+ buckeye, horse chestnut, conker: the inedible nutlike seed of the horse chestnut
992
+ coral fungus: any of numerous fungi of the family Clavariaceae often brightly colored that grow in often intricately branched clusters like coral
993
+ agaric: a saprophytic fungus of the order Agaricales having an umbrellalike cap with gills on the underside
994
+ gyromitra: any fungus of the genus Gyromitra
995
+ stinkhorn, carrion fungus: any of various ill-smelling brown-capped fungi of the order Phallales; "the foul smell of the stinkhorn attracts insects that carry the spores away on their feet"
996
+ earthstar: any fungus of the family Geastraceae; in form suggesting a puffball whose outer peridium splits into the shape of a star
997
+ hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa: large greyish-brown edible fungus forming a mass of overlapping caps that somewhat resembles a hen at the base of trees
998
+ bolete: any fungus of the family Boletaceae
999
+ ear, spike, capitulum: fruiting spike of a cereal plant especially corn
1000
+ toilet tissue, toilet paper, bathroom tissue: a soft thin absorbent paper for use in toilets
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541
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563
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564
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603
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607
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608
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outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-1-of-10.jsonl ADDED
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53
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58
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62
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63
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67
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82
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513
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514
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515
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523
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525
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526
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527
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528
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529
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530
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531
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532
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533
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534
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535
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536
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537
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538
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539
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540
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541
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542
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543
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544
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545
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546
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547
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548
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549
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550
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551
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552
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553
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554
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555
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556
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557
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558
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559
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560
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561
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562
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563
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564
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565
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566
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567
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568
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569
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570
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571
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572
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573
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574
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575
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576
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577
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578
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579
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580
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581
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582
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583
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584
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585
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586
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587
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588
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589
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590
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591
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592
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593
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594
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595
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596
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597
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598
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599
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600
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601
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602
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603
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604
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605
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606
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607
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608
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609
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610
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611
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612
+ {"index": 6111, "label": "morning glory", "output": "D", "y_true": 1, "y_pred": 3, "reordering": [1, 0, 4, 2, 3]}
613
+ {"index": 6121, "label": "canterbury bells", "output": "A", "y_true": 2, "y_pred": 0, "reordering": [1, 4, 0, 2, 3]}
614
+ {"index": 6131, "label": "anthurium", "output": "B", "y_true": 1, "y_pred": 1, "reordering": [3, 0, 4, 2, 1]}
615
+ {"index": 6141, "label": "foxglove", "output": "E", "y_true": 4, "y_pred": 4, "reordering": [4, 1, 2, 3, 0]}
outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-2-of-10.jsonl ADDED
@@ -0,0 +1,615 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
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2
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3
+ {"index": 22, "label": "lotus", "output": "A", "y_true": 2, "y_pred": 0, "reordering": [2, 4, 0, 1, 3]}
4
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5
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6
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7
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8
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9
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10
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11
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12
+ {"index": 112, "label": "purple coneflower", "output": "B", "y_true": 4, "y_pred": 1, "reordering": [1, 2, 4, 3, 0]}
13
+ {"index": 122, "label": "sword lily", "output": "C", "y_true": 2, "y_pred": 2, "reordering": [3, 2, 0, 4, 1]}
14
+ {"index": 132, "label": "osteospermum", "output": "A", "y_true": 2, "y_pred": 0, "reordering": [1, 2, 0, 4, 3]}
15
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16
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17
+ {"index": 162, "label": "water lily", "output": "B", "y_true": 2, "y_pred": 1, "reordering": [3, 1, 0, 4, 2]}
18
+ {"index": 172, "label": "mallow", "output": "B", "y_true": 0, "y_pred": 1, "reordering": [0, 2, 3, 1, 4]}
19
+ {"index": 182, "label": "barbeton daisy", "output": "E", "y_true": 0, "y_pred": 4, "reordering": [0, 4, 3, 2, 1]}
20
+ {"index": 192, "label": "watercress", "output": "C", "y_true": 0, "y_pred": 2, "reordering": [0, 2, 1, 3, 4]}
21
+ {"index": 202, "label": "foxglove", "output": "C", "y_true": 2, "y_pred": 2, "reordering": [1, 3, 0, 2, 4]}
22
+ {"index": 212, "label": "mexican petunia", "output": "A", "y_true": 4, "y_pred": 0, "reordering": [4, 2, 3, 1, 0]}
23
+ {"index": 222, "label": "prince of wales feathers", "output": "D", "y_true": 0, "y_pred": 3, "reordering": [0, 4, 3, 1, 2]}
24
+ {"index": 232, "label": "sword lily", "output": "D", "y_true": 0, "y_pred": 3, "reordering": [0, 2, 4, 1, 3]}
25
+ {"index": 242, "label": "californian poppy", "output": "B", "y_true": 3, "y_pred": 1, "reordering": [4, 3, 2, 0, 1]}
26
+ {"index": 252, "label": "geranium", "output": "A", "y_true": 0, "y_pred": 0, "reordering": [0, 1, 2, 3, 4]}
27
+ {"index": 262, "label": "snapdragon", "output": "A", "y_true": 0, "y_pred": 0, "reordering": [0, 4, 1, 3, 2]}
28
+ {"index": 272, "label": "passion flower", "output": "A", "y_true": 1, "y_pred": 0, "reordering": [1, 0, 4, 2, 3]}
29
+ {"index": 282, "label": "azalea", "output": "D", "y_true": 3, "y_pred": 3, "reordering": [3, 1, 2, 0, 4]}
30
+ {"index": 292, "label": "blanket flower", "output": "A", "y_true": 0, "y_pred": 0, "reordering": [0, 2, 3, 1, 4]}
31
+ {"index": 302, "label": "passion flower", "output": "C", "y_true": 2, "y_pred": 2, "reordering": [3, 4, 0, 2, 1]}
32
+ {"index": 312, "label": "thorn apple", "output": "B", "y_true": 3, "y_pred": 1, "reordering": [2, 1, 4, 0, 3]}
33
+ {"index": 322, "label": "pincushion flower", "output": "D", "y_true": 3, "y_pred": 3, "reordering": [4, 2, 1, 0, 3]}
34
+ {"index": 332, "label": "corn poppy", "output": "A", "y_true": 0, "y_pred": 0, "reordering": [0, 1, 3, 4, 2]}
35
+ {"index": 342, "label": "hibiscus", "output": "B", "y_true": 1, "y_pred": 1, "reordering": [4, 0, 1, 2, 3]}
36
+ {"index": 352, "label": "water lily", "output": "B", "y_true": 1, "y_pred": 1, "reordering": [3, 0, 4, 1, 2]}
37
+ {"index": 362, "label": "snapdragon", "output": "D", "y_true": 4, "y_pred": 3, "reordering": [4, 1, 3, 2, 0]}
38
+ {"index": 372, "label": "morning glory", "output": "B", "y_true": 3, "y_pred": 1, "reordering": [1, 4, 2, 0, 3]}
39
+ {"index": 382, "label": "pelargonium", "output": "B", "y_true": 0, "y_pred": 1, "reordering": [0, 3, 1, 2, 4]}
40
+ {"index": 392, "label": "bougainvillea", "output": "D", "y_true": 3, "y_pred": 3, "reordering": [1, 4, 3, 0, 2]}
41
+ {"index": 402, "label": "pelargonium", "output": "A", "y_true": 3, "y_pred": 0, "reordering": [4, 2, 3, 0, 1]}
42
+ {"index": 412, "label": "canterbury bells", "output": "D", "y_true": 1, "y_pred": 3, "reordering": [4, 0, 3, 1, 2]}
43
+ {"index": 422, "label": "bougainvillea", "output": "E", "y_true": 4, "y_pred": 4, "reordering": [3, 2, 1, 4, 0]}
44
+ {"index": 432, "label": "poinsettia", "output": "C", "y_true": 2, "y_pred": 2, "reordering": [1, 3, 0, 2, 4]}
45
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379
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380
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381
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383
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384
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385
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386
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387
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388
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389
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390
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392
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393
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395
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396
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397
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398
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399
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401
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403
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406
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407
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408
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409
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411
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412
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413
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414
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415
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416
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417
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418
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419
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420
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421
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422
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423
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427
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428
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429
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430
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431
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432
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433
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434
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435
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436
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437
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438
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439
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440
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441
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442
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443
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444
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445
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446
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447
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448
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449
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450
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451
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452
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453
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454
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455
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456
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457
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458
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459
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460
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461
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462
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463
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464
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465
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466
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467
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468
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469
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470
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471
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472
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473
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474
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475
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476
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477
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478
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479
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480
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481
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482
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483
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484
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485
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486
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488
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492
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495
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511
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519
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520
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521
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523
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524
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525
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526
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527
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531
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532
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533
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539
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540
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541
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543
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544
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545
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546
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547
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548
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549
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550
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551
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552
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553
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554
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555
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556
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557
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558
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559
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560
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561
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562
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563
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564
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565
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567
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568
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569
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570
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571
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572
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573
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574
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575
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576
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577
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578
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579
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580
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581
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582
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583
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584
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585
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586
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587
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588
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589
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590
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591
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592
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593
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594
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595
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596
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597
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598
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599
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600
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601
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602
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603
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604
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605
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606
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607
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608
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609
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610
+ {"index": 6092, "label": "clematis", "output": "A", "y_true": 3, "y_pred": 0, "reordering": [3, 4, 2, 0, 1]}
611
+ {"index": 6102, "label": "hard-leaved pocket orchid", "output": "A", "y_true": 1, "y_pred": 0, "reordering": [4, 0, 3, 2, 1]}
612
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613
+ {"index": 6122, "label": "geranium", "output": "A", "y_true": 2, "y_pred": 0, "reordering": [1, 4, 0, 2, 3]}
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615
+ {"index": 6142, "label": "sweet william", "output": "A", "y_true": 4, "y_pred": 0, "reordering": [4, 1, 2, 3, 0]}
outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-3-of-10.jsonl ADDED
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1
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4
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511
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512
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513
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515
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519
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520
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523
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529
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530
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531
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533
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534
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535
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536
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537
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538
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539
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540
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541
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542
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543
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544
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545
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546
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547
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548
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549
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550
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551
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552
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553
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554
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555
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556
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557
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558
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559
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560
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561
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562
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563
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564
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565
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566
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567
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568
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569
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570
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571
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572
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573
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574
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575
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576
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577
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578
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579
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580
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581
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582
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583
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584
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585
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586
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587
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588
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589
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590
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outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-4-of-10.jsonl ADDED
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105
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106
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107
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108
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109
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249
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255
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530
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531
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533
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539
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540
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542
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545
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546
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547
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548
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567
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568
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570
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571
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572
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573
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574
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575
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576
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577
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578
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579
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580
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582
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583
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587
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588
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589
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590
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591
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592
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593
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594
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595
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596
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597
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598
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599
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600
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601
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602
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603
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604
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605
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606
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607
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608
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609
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610
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611
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612
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613
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615
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outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-5-of-10.jsonl ADDED
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1
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17
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18
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19
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20
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21
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22
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23
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24
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25
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26
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27
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28
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29
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30
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31
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32
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33
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34
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35
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36
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37
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38
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39
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40
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41
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42
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43
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44
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45
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46
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47
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48
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49
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50
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51
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52
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53
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54
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55
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56
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57
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58
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59
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60
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61
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62
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63
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64
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65
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66
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67
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531
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543
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544
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545
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546
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547
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551
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552
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553
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554
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555
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558
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559
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560
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561
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562
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563
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567
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568
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570
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571
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572
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573
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574
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581
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582
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584
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590
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591
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600
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601
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602
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603
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604
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606
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607
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608
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609
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610
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611
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612
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613
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614
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615
+ {"index": 6145, "label": "poinsettia", "output": "B", "y_true": 4, "y_pred": 1, "reordering": [4, 1, 2, 3, 0]}
outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-6-of-10.jsonl ADDED
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1
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3
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4
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5
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10
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17
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18
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19
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20
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21
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22
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23
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24
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25
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outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-7-of-10.jsonl ADDED
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outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-8-of-10.jsonl ADDED
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42
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46
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47
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48
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52
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53
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55
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60
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61
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62
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63
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67
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68
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69
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71
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72
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73
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75
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76
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77
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90
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533
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537
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538
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539
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540
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541
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542
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543
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544
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545
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546
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547
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548
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549
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550
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551
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552
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553
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554
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555
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556
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557
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558
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559
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560
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561
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562
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563
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564
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565
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566
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567
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568
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569
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570
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571
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572
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573
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574
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575
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576
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577
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578
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579
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580
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581
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582
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583
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584
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585
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586
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587
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588
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589
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590
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591
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592
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593
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594
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595
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596
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597
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598
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599
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600
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601
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602
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603
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604
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605
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606
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607
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608
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609
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610
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611
+ {"index": 6108, "label": "wallflower", "output": "B", "y_true": 1, "y_pred": 1, "reordering": [4, 0, 3, 2, 1]}
612
+ {"index": 6118, "label": "frangipani", "output": "B", "y_true": 1, "y_pred": 1, "reordering": [1, 0, 4, 2, 3]}
613
+ {"index": 6128, "label": "foxglove", "output": "C", "y_true": 2, "y_pred": 2, "reordering": [1, 4, 0, 2, 3]}
614
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615
+ {"index": 6148, "label": "bird of paradise", "output": "E", "y_true": 4, "y_pred": 4, "reordering": [4, 1, 2, 3, 0]}
outputs_final/alternate/molmo-qwen2-clip-pt/flowers_5_task-9-of-10.jsonl ADDED
@@ -0,0 +1,614 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
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2
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3
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4
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8
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9
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12
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13
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14
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15
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16
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17
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18
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19
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20
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21
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22
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23
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24
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25
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26
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27
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28
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29
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30
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31
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32
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33
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34
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35
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36
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37
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38
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39
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40
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41
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42
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43
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44
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45
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46
+ {"index": 459, "label": "silverbush", "output": "D", "y_true": 4, "y_pred": 3, "reordering": [4, 3, 1, 2, 0]}
47
+ {"index": 469, "label": "bearded iris", "output": "B", "y_true": 2, "y_pred": 1, "reordering": [4, 2, 0, 1, 3]}
48
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49
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50
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51
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195
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197
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198
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511
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512
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513
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514
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515
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516
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517
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518
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519
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520
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521
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522
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523
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524
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525
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526
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527
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528
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529
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530
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531
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532
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533
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534
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535
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536
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537
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538
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539
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540
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541
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542
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543
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544
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545
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546
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547
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548
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549
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550
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551
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552
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553
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554
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555
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556
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557
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558
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559
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560
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561
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562
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563
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564
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565
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566
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567
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568
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569
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570
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571
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572
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573
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574
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575
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576
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577
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578
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579
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580
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581
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582
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583
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584
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585
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586
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587
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588
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589
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590
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591
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592
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593
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594
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595
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596
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597
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598
+ {"index": 5979, "label": "yellow iris", "output": "B", "y_true": 1, "y_pred": 1, "reordering": [4, 0, 3, 2, 1]}
599
+ {"index": 5989, "label": "gaura", "output": "A", "y_true": 4, "y_pred": 0, "reordering": [3, 4, 1, 2, 0]}
600
+ {"index": 5999, "label": "petunia", "output": "A", "y_true": 1, "y_pred": 0, "reordering": [1, 0, 4, 2, 3]}
601
+ {"index": 6009, "label": "spring crocus", "output": "B", "y_true": 4, "y_pred": 1, "reordering": [3, 4, 2, 1, 0]}
602
+ {"index": 6019, "label": "sword lily", "output": "B", "y_true": 3, "y_pred": 1, "reordering": [4, 2, 3, 0, 1]}
603
+ {"index": 6029, "label": "osteospermum", "output": "A", "y_true": 3, "y_pred": 0, "reordering": [3, 4, 2, 0, 1]}
604
+ {"index": 6039, "label": "bishop of llandaff", "output": "A", "y_true": 1, "y_pred": 0, "reordering": [1, 0, 3, 2, 4]}
605
+ {"index": 6049, "label": "water lily", "output": "A", "y_true": 4, "y_pred": 0, "reordering": [1, 2, 4, 3, 0]}
606
+ {"index": 6059, "label": "sweet william", "output": "A", "y_true": 4, "y_pred": 0, "reordering": [2, 4, 3, 1, 0]}
607
+ {"index": 6069, "label": "water lily", "output": "B", "y_true": 1, "y_pred": 1, "reordering": [4, 0, 3, 2, 1]}
608
+ {"index": 6079, "label": "azalea", "output": "C", "y_true": 2, "y_pred": 2, "reordering": [4, 2, 0, 1, 3]}
609
+ {"index": 6089, "label": "petunia", "output": "A", "y_true": 3, "y_pred": 0, "reordering": [1, 4, 2, 0, 3]}
610
+ {"index": 6099, "label": "watercress", "output": "A", "y_true": 3, "y_pred": 0, "reordering": [3, 4, 2, 0, 1]}
611
+ {"index": 6109, "label": "carnation", "output": "B", "y_true": 1, "y_pred": 1, "reordering": [4, 0, 3, 2, 1]}
612
+ {"index": 6119, "label": "colt's foot", "output": "A", "y_true": 1, "y_pred": 0, "reordering": [1, 0, 4, 2, 3]}
613
+ {"index": 6129, "label": "passion flower", "output": "C", "y_true": 2, "y_pred": 2, "reordering": [1, 4, 0, 2, 3]}
614
+ {"index": 6139, "label": "wallflower", "output": "A", "y_true": 1, "y_pred": 0, "reordering": [3, 0, 4, 2, 1]}
outputs_final/alternate/molmo-qwen2-clip-pt/food_5_task-0-of-10.jsonl ADDED
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