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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 18961 new columns ({'176.23', '113].1', '146.41', '183.47', '182.33', '200.30', '41.30', '199.41', '114.43', '209.7', '103.40', '66.30', '{"id":164', '150.8', '6.7', '167.57', '171.47', '166.6', 'iscrowd:0.253', '144.68', '53.28', '101.47', '36]].1', '137.78', '124.55', '58.23', '55.12', 'date_captured:""}.113', '46.28', '73.60', '184.32', '52.22', '180.1', 'width:224.288', '92.57', '{"id":260', '{"segmentation":[[137.1', 'file_name:"298.jpg"', '165.54', '75.38', '186.49', '57.16', '109.48', '191.16', 'file_name:"182.jpg"', '38.13', 'iscrowd:0.262', '124.10', 'date_captured:""}.65', '200.47', '97]]', '54.8', 'bbox:[136', '{"segmentation":[[35', 'height:224.76', '81.55', 'id:115', '{"segmentation":[[58.1', 'license:0.82', '120.33', '213.7', '125.23', '86.8', '224.17', '107.16', '106.4', '76.41', '28.13', '26.9', '99.2', '80.23', 'height:224.250', '55.3', '166.13', '157.20', '186.25', '15.26', 'area:3468', '21.23', '14.2', '110.8', '96.38', '135].1', '1]]', '145.70', '190]]', '73.33', '86.95', '28.12', '81.74', '152.8', '71.22', '107.50', '153.58', '31.36', '134.65', '140.18', '127.75', '82]].1', '38.39', '206.6', '1.60', 'date_captured:""}.24', '219.36', '120.20', 'file_name:"66.jpg"', '8.13', '100.18', '134.14', 'height:224.33', '83.64', 'image_id:249', '103.74', '137.76', '219.37', '66.24', '87.38', '177.46', '148.61', '{"segmentation":[[0.4', '44].2', '12].2', '29.22', '{"id":29', '65.37', '63].1', '119.21', 'license:0.210', 'date_captured:""}.119', 'bbox:[4.1', '223.7', '30].2', '173.26', 'i
...
142.46', '77]]', 'bbox:[1.13', '49.53', '129.23', 'id:130', '168.37', '191.39', '221.4', 'iscrowd:0.75', '23.9', '62.23', '82.32', '86.73', '46.26', 'height:224.38', '47.36', '49.11', '223.26', 'width:224.99', '223.15', '190.6', '211.16', 'date_captured:""}.186', '223.148', '158.46', '33.16', 'image_id:228.3', '161.63', '{"segmentation":[[143.1', '138.51', 'area:14229', '124.57', 'date_captured:""}.33', '172.16', '93.56', 'date_captured:""}.131', 'image_id:59', '{"segmentation":[[68.2', '92.13', '1.22', '91.11', '223.84', '155.53', '156.9', 'category_id:null}.309', 'bbox:[50', '100.4', '36', '208.28', 'id:317', '102.7', '170.45', '171.53', '{"segmentation":[[40.1', 'iscrowd:0.334', '56.2', '80.74', '178.19', '73.44', '124.74', '188.14', '146.10', '218.10', '109.62', '113.39', '117.60', '168.25', '60.40', '223.178', '11].1', '156.24', '130.38', '67.49', '38.30', 'area:2964', 'date_captured:""}.58', '99.44', '108.36', '176.52', 'width:224.262', '69.61', '119.3', '6.6', '103.9', '165.40', '101.74', '189.28', '100.12', '81.26', '157.22', 'license:0.262', '76.71', '95]]', '129.21', '152.62', '101.16', '33.26', '174.63', '215.19', 'iscrowd:0.105', '64.12', '130.9', 'id:380', '78.30', '72.34', '63].3', 'bbox:[179', '49.37', '100.6', 'date_captured:""}.181', 'id:61', '59.26', 'iscrowd:0.247', '32.37', '155.18', '223.40', '77.37', '131.62', 'image_id:121.5', '203.28', '162.57', '22.6', '104.26', '163.27', '106.50', '213.27', '139.73', '63.39', '{"id":139', '141.79', '78.13', '126.78'}) and 2 missing columns ({' Object', 'Index'}).
This happened while the csv dataset builder was generating data using
hf://datasets/IVUlab/pixmmvp/Segmentations.json (at revision 4cbcd2917ea9a2fba8cce1c5ab7d3da0f0ea7e2e)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
{"info":{"year":2024: null
version:"1.0": null
description:"VIA project exported to COCO format using VGG Image Annotator (http://www.robots.ox.ac.uk/~vgg/software/via/)": null
contributor:"": null
url:"http://www.robots.ox.ac.uk/~vgg/software/via/": null
date_created:"Sat Dec 07 2024 09:04:59 GMT-0500 (Eastern Standard Time)"}: null
images:[{"id":1: null
width:224: null
height:224: null
file_name:"1.jpg": null
license:0: null
date_captured:""}: null
{"id":2: null
width:224.1: null
height:224.1: null
file_name:"2.jpg": null
license:0.1: null
date_captured:""}.1: null
{"id":3: null
width:224.2: null
height:224.2: null
file_name:"3.jpg": null
license:0.2: null
date_captured:""}.2: null
{"id":4: null
width:224.3: null
height:224.3: null
file_name:"4.jpg": null
license:0.3: null
date_captured:""}.3: null
{"id":5: null
width:224.4: null
height:224.4: null
file_name:"5.jpg": null
license:0.4: null
date_captured:""}.4: null
{"id":6: null
width:224.5: null
height:224.5: null
file_name:"6.jpg": null
license:0.5: null
date_captured:""}.5: null
{"id":7: null
width:224.6: null
height:224.6: null
file_name:"7.jpg": null
license:0.6: null
date_captured:""}.6: null
{"id":8: null
width:224.7: null
height:224.7: null
file_name:"8.jpg": null
license:0.7: null
date_captured:""}.7: null
{"id":9: null
width:224.8: null
height:224.8: null
file_name:"9.jpg": null
license:0.8: null
date_captured:""}.8: null
{"id":10: null
width:224.9: null
height:224.9: null
file_name:"10.jpg": null
license:0.9: nul
...
29: null
66.73: null
222.87: null
138.93: null
214.31: null
143.82: null
222.88: null
158.64: null
220.30: null
173.67: null
220.31: null
188.42: null
216.37: null
197.35: null
211.33: null
207.33: null
201.42: null
211.34: null
188.43: null
216.38: null
173.68: null
216.39: null
161.63: null
210.44: null
153.58: null
200.53: null
146.64: null
214.32: null
128.101: null
222.89: null
105.86: null
222.90: null
75.69: null
217.27: null
61.52: null
200.54: null
54.44: null
184.50: null
53.67: null
173.69: null
45.43: null
187.61: null
34.55: null
192.46: null
16.22: null
192.47: null
1.107: null
185.48: null
2.46: null
126.96: null
6.21: null
115.77: null
19.23: null
111.84: null
25.27: null
108.76: null
24.30: null
99.52: null
19.24: null
80.86: null
19.25: null
68.79: null
28.31: null
54.45: null
39.36: null
45.44: null
59.65: null
43.48: null
70.81: null
44]].1: null
area:42370: null
bbox:[1.36: null
32.62: null
223.183: null
190].1: null
iscrowd:0.383: null
id:384: null
image_id:298: null
category_id:null}]: null
licenses:[{"id":0: null
name:"Unknown License": null
url:""}]: null
categories:[{"supercategory":"type": null
id:null: null
name:"Bird"}: null
{"supercategory":"type": null
id:null.1: null
name:"Human"}: null
{"supercategory":"type".1: null
id:null.2: null
name:"Cup (object)"}: null
{"supercategory":"type".2: null
id:null.3: null
name:"Unknown (object)"}]}: null
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2142241
to
{'Index': Value(dtype='int64', id=None), ' Object': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1438, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 18961 new columns ({'176.23', '113].1', '146.41', '183.47', '182.33', '200.30', '41.30', '199.41', '114.43', '209.7', '103.40', '66.30', '{"id":164', '150.8', '6.7', '167.57', '171.47', '166.6', 'iscrowd:0.253', '144.68', '53.28', '101.47', '36]].1', '137.78', '124.55', '58.23', '55.12', 'date_captured:""}.113', '46.28', '73.60', '184.32', '52.22', '180.1', 'width:224.288', '92.57', '{"id":260', '{"segmentation":[[137.1', 'file_name:"298.jpg"', '165.54', '75.38', '186.49', '57.16', '109.48', '191.16', 'file_name:"182.jpg"', '38.13', 'iscrowd:0.262', '124.10', 'date_captured:""}.65', '200.47', '97]]', '54.8', 'bbox:[136', '{"segmentation":[[35', 'height:224.76', '81.55', 'id:115', '{"segmentation":[[58.1', 'license:0.82', '120.33', '213.7', '125.23', '86.8', '224.17', '107.16', '106.4', '76.41', '28.13', '26.9', '99.2', '80.23', 'height:224.250', '55.3', '166.13', '157.20', '186.25', '15.26', 'area:3468', '21.23', '14.2', '110.8', '96.38', '135].1', '1]]', '145.70', '190]]', '73.33', '86.95', '28.12', '81.74', '152.8', '71.22', '107.50', '153.58', '31.36', '134.65', '140.18', '127.75', '82]].1', '38.39', '206.6', '1.60', 'date_captured:""}.24', '219.36', '120.20', 'file_name:"66.jpg"', '8.13', '100.18', '134.14', 'height:224.33', '83.64', 'image_id:249', '103.74', '137.76', '219.37', '66.24', '87.38', '177.46', '148.61', '{"segmentation":[[0.4', '44].2', '12].2', '29.22', '{"id":29', '65.37', '63].1', '119.21', 'license:0.210', 'date_captured:""}.119', 'bbox:[4.1', '223.7', '30].2', '173.26', 'i
...
142.46', '77]]', 'bbox:[1.13', '49.53', '129.23', 'id:130', '168.37', '191.39', '221.4', 'iscrowd:0.75', '23.9', '62.23', '82.32', '86.73', '46.26', 'height:224.38', '47.36', '49.11', '223.26', 'width:224.99', '223.15', '190.6', '211.16', 'date_captured:""}.186', '223.148', '158.46', '33.16', 'image_id:228.3', '161.63', '{"segmentation":[[143.1', '138.51', 'area:14229', '124.57', 'date_captured:""}.33', '172.16', '93.56', 'date_captured:""}.131', 'image_id:59', '{"segmentation":[[68.2', '92.13', '1.22', '91.11', '223.84', '155.53', '156.9', 'category_id:null}.309', 'bbox:[50', '100.4', '36', '208.28', 'id:317', '102.7', '170.45', '171.53', '{"segmentation":[[40.1', 'iscrowd:0.334', '56.2', '80.74', '178.19', '73.44', '124.74', '188.14', '146.10', '218.10', '109.62', '113.39', '117.60', '168.25', '60.40', '223.178', '11].1', '156.24', '130.38', '67.49', '38.30', 'area:2964', 'date_captured:""}.58', '99.44', '108.36', '176.52', 'width:224.262', '69.61', '119.3', '6.6', '103.9', '165.40', '101.74', '189.28', '100.12', '81.26', '157.22', 'license:0.262', '76.71', '95]]', '129.21', '152.62', '101.16', '33.26', '174.63', '215.19', 'iscrowd:0.105', '64.12', '130.9', 'id:380', '78.30', '72.34', '63].3', 'bbox:[179', '49.37', '100.6', 'date_captured:""}.181', 'id:61', '59.26', 'iscrowd:0.247', '32.37', '155.18', '223.40', '77.37', '131.62', 'image_id:121.5', '203.28', '162.57', '22.6', '104.26', '163.27', '106.50', '213.27', '139.73', '63.39', '{"id":139', '141.79', '78.13', '126.78'}) and 2 missing columns ({' Object', 'Index'}).
This happened while the csv dataset builder was generating data using
hf://datasets/IVUlab/pixmmvp/Segmentations.json (at revision 4cbcd2917ea9a2fba8cce1c5ab7d3da0f0ea7e2e)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Index
int64 | Object
string |
|---|---|
1 | the butterfly's wings |
2 | the butterfly's wings |
3 | the flame of the match |
4 | the flame of the match |
5 | the dog's face |
6 | the dog's face |
7 | the school bus |
8 | the school bus |
9 | the key ""Z"" |
10 | the key ""Z"" |
11 | the peacock's tail |
12 | the peacock's tail |
13 | an ear of corn |
14 | an ear of corn |
15 | a shadow on the flower |
16 | a shadow on the flower |
17 | the front of the school bus |
18 | the front of the school bus |
19 | the dorsal fin of the animal |
20 | the dorsal fin of the animal |
21 | the duck's entire beak |
22 | the duck's entire beak |
23 | None |
24 | None |
25 | the chicken's body |
26 | the chicken's body |
27 | the peacock's head |
28 | the peacock's head |
29 | the window on the school bus |
30 | the window on the school bus |
31 | the flag |
32 | the flag |
33 | the butterfly's abdomen |
34 | the butterfly's abdomen |
35 | the vegetables with spikes |
36 | the vegetables with spikes |
37 | the flowers in the background |
38 | the flowers in the background |
39 | the duck |
40 | the duck |
41 | the spider's legs |
42 | the spider's legs |
43 | the wheels of the school bus |
44 | the wheels of the school bus |
45 | the shark's belly |
46 | the shark's belly |
47 | the spots on the animal |
48 | the spots on the animal |
49 | the arrow keys |
50 | the arrow keys |
51 | the elephant's trunk |
52 | the elephant's trunk |
53 | the pills |
54 | the pills |
55 | the stems of bananas |
56 | the stems of bananas |
57 | the crocodile |
58 | the crocodile |
59 | the lock |
60 | the lock |
61 | the letter ""J"" |
62 | the letter ""J"" |
63 | one daisy that is under the shadow of a taller daisy |
64 | one daisy that is under the shadow of a taller daisy |
65 | the letter D |
66 | the letter D |
67 | the clouds |
68 | the clouds |
69 | the snake's tongue |
70 | the snake's tongue |
71 | the lock |
72 | the lock |
73 | the ground |
74 | the ground |
75 | the flower |
76 | the flower |
77 | the caudal fin of the shark |
78 | the caudal fin of the shark |
79 | the snake's head |
80 | the snake's head |
81 | a hammerhead shark |
82 | a hammerhead shark |
83 | the door of the truck cab |
84 | the door of the truck cab |
85 | the ears of the dog |
86 | the ears of the dog |
87 | a hand using the mouse |
88 | a hand using the mouse |
89 | people |
90 | people |
91 | words on the vehicle's lightbar |
92 | words on the vehicle's lightbar |
93 | accessory on the wrists |
94 | accessory on the wrists |
95 | the spider web |
96 | the spider web |
97 | the keyboard |
98 | the keyboard |
99 | the elephant's tusks |
100 | the elephant's tusks |
End of preview.
Subsets and Splits