Upload 14 files
Browse filesFiles for Jiarui's TLINK classifier with PubMedBert as a starting point, with continued fine tuning on THYME and ChemoTimelines SharedTask data.
- README.md +44 -1
- all_results.json +14 -0
- config.json +54 -0
- eval_results.json +9 -0
- predict_results_None.txt +2923 -0
- predict_results_None_ovary.txt +2923 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- train_results.json +8 -0
- trainer_state.json +37 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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-
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---
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: pubmed_thyme_deepphe_no_crc
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# pubmed_thyme_deepphe_no_crc
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This model is a fine-tuned version of [tlink_shared_task_weights/pubmed_thyme_deepphe_no_crc](https://huggingface.co/tlink_shared_task_weights/pubmed_thyme_deepphe_no_crc) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 62
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10.0
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.12.0
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- Tokenizers 0.11.0
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.8376963138580322,
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"eval_loss": 1.120042324066162,
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"eval_runtime": 0.7684,
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"eval_samples": 1146,
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"eval_samples_per_second": 1491.385,
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"eval_steps_per_second": 93.7,
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"train_loss": 0.09304492578171847,
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"train_runtime": 41.8899,
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"train_samples": 1812,
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"train_samples_per_second": 432.562,
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"train_steps_per_second": 27.214
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}
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config.json
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{
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"_name_or_path": "tlink_shared_task_weights/pubmed_thyme",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "after",
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"1": "before",
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"2": "begins-on",
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"3": "contains",
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"4": "contains-1",
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"5": "contains-subevent",
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"6": "contains-subevent-1",
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"7": "ends-on",
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"8": "none",
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"9": "noted-on",
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"10": "noted-on-1",
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"11": "overlap"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"after": 0,
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"before": 1,
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"begins-on": 2,
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"contains": 3,
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"contains-1": 4,
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"contains-subevent": 5,
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"contains-subevent-1": 6,
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"ends-on": 7,
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"none": 8,
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"noted-on": 9,
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"noted-on-1": 10,
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"overlap": 11
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.24.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.8376963138580322,
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"eval_loss": 1.120042324066162,
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"eval_runtime": 0.7684,
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"eval_samples": 1146,
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"eval_samples_per_second": 1491.385,
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"eval_steps_per_second": 93.7
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}
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predict_results_None.txt
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|
1 |
+
index prediction
|
2 |
+
0 none
|
3 |
+
1 none
|
4 |
+
2 contains
|
5 |
+
3 none
|
6 |
+
4 none
|
7 |
+
5 none
|
8 |
+
6 none
|
9 |
+
7 none
|
10 |
+
8 contains
|
11 |
+
9 none
|
12 |
+
10 none
|
13 |
+
11 none
|
14 |
+
12 none
|
15 |
+
13 none
|
16 |
+
14 contains
|
17 |
+
15 none
|
18 |
+
16 none
|
19 |
+
17 none
|
20 |
+
18 contains-1
|
21 |
+
19 none
|
22 |
+
20 none
|
23 |
+
21 none
|
24 |
+
22 none
|
25 |
+
23 none
|
26 |
+
24 none
|
27 |
+
25 none
|
28 |
+
26 contains
|
29 |
+
27 none
|
30 |
+
28 none
|
31 |
+
29 none
|
32 |
+
30 none
|
33 |
+
31 none
|
34 |
+
32 none
|
35 |
+
33 none
|
36 |
+
34 none
|
37 |
+
35 none
|
38 |
+
36 none
|
39 |
+
37 none
|
40 |
+
38 none
|
41 |
+
39 none
|
42 |
+
40 none
|
43 |
+
41 none
|
44 |
+
42 none
|
45 |
+
43 none
|
46 |
+
44 none
|
47 |
+
45 none
|
48 |
+
46 none
|
49 |
+
47 none
|
50 |
+
48 none
|
51 |
+
49 none
|
52 |
+
50 none
|
53 |
+
51 none
|
54 |
+
52 none
|
55 |
+
53 none
|
56 |
+
54 none
|
57 |
+
55 none
|
58 |
+
56 none
|
59 |
+
57 none
|
60 |
+
58 none
|
61 |
+
59 none
|
62 |
+
60 none
|
63 |
+
61 none
|
64 |
+
62 none
|
65 |
+
63 contains
|
66 |
+
64 contains-1
|
67 |
+
65 none
|
68 |
+
66 contains
|
69 |
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67 none
|
70 |
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68 none
|
71 |
+
69 none
|
72 |
+
70 none
|
73 |
+
71 contains
|
74 |
+
72 contains
|
75 |
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73 none
|
76 |
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74 none
|
77 |
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75 none
|
78 |
+
76 contains
|
79 |
+
77 contains
|
80 |
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78 none
|
81 |
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79 none
|
82 |
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80 none
|
83 |
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81 none
|
84 |
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82 none
|
85 |
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83 contains
|
86 |
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84 none
|
87 |
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85 none
|
88 |
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86 none
|
89 |
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87 none
|
90 |
+
88 none
|
91 |
+
89 none
|
92 |
+
90 none
|
93 |
+
91 none
|
94 |
+
92 none
|
95 |
+
93 none
|
96 |
+
94 none
|
97 |
+
95 none
|
98 |
+
96 contains-1
|
99 |
+
97 none
|
100 |
+
98 none
|
101 |
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99 none
|
102 |
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100 none
|
103 |
+
101 none
|
104 |
+
102 contains-1
|
105 |
+
103 contains-1
|
106 |
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104 none
|
107 |
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105 none
|
108 |
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106 none
|
109 |
+
107 none
|
110 |
+
108 contains
|
111 |
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109 none
|
112 |
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110 none
|
113 |
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111 none
|
114 |
+
112 none
|
115 |
+
113 ends-on
|
116 |
+
114 ends-on
|
117 |
+
115 none
|
118 |
+
116 none
|
119 |
+
117 none
|
120 |
+
118 none
|
121 |
+
119 contains
|
122 |
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120 ends-on
|
123 |
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121 none
|
124 |
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122 begins-on
|
125 |
+
123 none
|
126 |
+
124 contains-1
|
127 |
+
125 contains
|
128 |
+
126 none
|
129 |
+
127 none
|
130 |
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128 none
|
131 |
+
129 none
|
132 |
+
130 none
|
133 |
+
131 none
|
134 |
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132 none
|
135 |
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133 none
|
136 |
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134 none
|
137 |
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135 none
|
138 |
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136 none
|
139 |
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137 none
|
140 |
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138 none
|
141 |
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139 none
|
142 |
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140 none
|
143 |
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141 none
|
144 |
+
142 none
|
145 |
+
143 none
|
146 |
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144 none
|
147 |
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145 none
|
148 |
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146 none
|
149 |
+
147 none
|
150 |
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148 none
|
151 |
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149 none
|
152 |
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150 none
|
153 |
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151 none
|
154 |
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152 none
|
155 |
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153 contains
|
156 |
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154 none
|
157 |
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155 none
|
158 |
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156 none
|
159 |
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157 none
|
160 |
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158 none
|
161 |
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159 none
|
162 |
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160 none
|
163 |
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161 none
|
164 |
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162 none
|
165 |
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163 none
|
166 |
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164 contains
|
167 |
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165 none
|
168 |
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166 none
|
169 |
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167 none
|
170 |
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168 none
|
171 |
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169 none
|
172 |
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170 none
|
173 |
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171 contains
|
174 |
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172 contains-1
|
175 |
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173 none
|
176 |
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174 none
|
177 |
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175 none
|
178 |
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176 none
|
179 |
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177 none
|
180 |
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178 none
|
181 |
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179 none
|
182 |
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180 none
|
183 |
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181 none
|
184 |
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182 contains
|
185 |
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183 ends-on
|
186 |
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184 none
|
187 |
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185 none
|
188 |
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186 contains
|
189 |
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187 ends-on
|
190 |
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188 none
|
191 |
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189 none
|
192 |
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190 none
|
193 |
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191 contains
|
194 |
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192 none
|
195 |
+
193 none
|
196 |
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194 none
|
197 |
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195 none
|
198 |
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196 none
|
199 |
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197 none
|
200 |
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198 none
|
201 |
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199 none
|
202 |
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200 ends-on
|
203 |
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201 none
|
204 |
+
202 none
|
205 |
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203 none
|
206 |
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204 none
|
207 |
+
205 none
|
208 |
+
206 none
|
209 |
+
207 none
|
210 |
+
208 none
|
211 |
+
209 none
|
212 |
+
210 none
|
213 |
+
211 contains
|
214 |
+
212 contains
|
215 |
+
213 none
|
216 |
+
214 none
|
217 |
+
215 none
|
218 |
+
216 contains
|
219 |
+
217 contains-1
|
220 |
+
218 none
|
221 |
+
219 contains
|
222 |
+
220 contains-1
|
223 |
+
221 none
|
224 |
+
222 none
|
225 |
+
223 contains
|
226 |
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224 contains
|
227 |
+
225 contains
|
228 |
+
226 none
|
229 |
+
227 none
|
230 |
+
228 none
|
231 |
+
229 none
|
232 |
+
230 contains
|
233 |
+
231 contains-1
|
234 |
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232 none
|
235 |
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233 none
|
236 |
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234 begins-on
|
237 |
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235 contains-1
|
238 |
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236 none
|
239 |
+
237 none
|
240 |
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238 contains
|
241 |
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239 none
|
242 |
+
240 none
|
243 |
+
241 none
|
244 |
+
242 none
|
245 |
+
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1868 |
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1882 |
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1912 |
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1913 |
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1914 |
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1915 |
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1916 |
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1921 |
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1922 |
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1923 |
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1926 |
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1927 |
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1928 |
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1929 |
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1930 |
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1931 |
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1932 |
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1933 |
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1934 |
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1968 |
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1969 |
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1970 |
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1971 |
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1972 |
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1973 |
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1976 |
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1977 |
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1978 |
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1979 |
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1984 |
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1985 |
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1987 |
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1988 |
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1989 |
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1990 contains
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1993 |
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1991 contains
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1994 |
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1995 |
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1996 |
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1997 |
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1998 |
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1999 |
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2000 |
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2001 |
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2002 |
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2003 |
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2005 |
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2006 |
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2007 |
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2008 |
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2009 |
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2010 |
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2011 |
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2012 |
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2013 |
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2014 |
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2015 |
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2016 |
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2017 |
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2018 |
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2019 |
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2020 |
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2021 |
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2022 |
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2023 |
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2024 |
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2025 |
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2026 |
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2027 |
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2029 |
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2042 |
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2357 |
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2358 |
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2359 |
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2361 |
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2868 |
+
2866 none
|
2869 |
+
2867 none
|
2870 |
+
2868 contains-1
|
2871 |
+
2869 none
|
2872 |
+
2870 none
|
2873 |
+
2871 none
|
2874 |
+
2872 none
|
2875 |
+
2873 none
|
2876 |
+
2874 none
|
2877 |
+
2875 none
|
2878 |
+
2876 contains
|
2879 |
+
2877 contains-1
|
2880 |
+
2878 none
|
2881 |
+
2879 none
|
2882 |
+
2880 none
|
2883 |
+
2881 contains-1
|
2884 |
+
2882 contains-1
|
2885 |
+
2883 none
|
2886 |
+
2884 none
|
2887 |
+
2885 none
|
2888 |
+
2886 contains
|
2889 |
+
2887 contains
|
2890 |
+
2888 contains
|
2891 |
+
2889 contains-1
|
2892 |
+
2890 contains-1
|
2893 |
+
2891 none
|
2894 |
+
2892 none
|
2895 |
+
2893 none
|
2896 |
+
2894 none
|
2897 |
+
2895 none
|
2898 |
+
2896 none
|
2899 |
+
2897 none
|
2900 |
+
2898 none
|
2901 |
+
2899 none
|
2902 |
+
2900 none
|
2903 |
+
2901 none
|
2904 |
+
2902 none
|
2905 |
+
2903 none
|
2906 |
+
2904 none
|
2907 |
+
2905 none
|
2908 |
+
2906 none
|
2909 |
+
2907 contains
|
2910 |
+
2908 none
|
2911 |
+
2909 none
|
2912 |
+
2910 none
|
2913 |
+
2911 contains
|
2914 |
+
2912 none
|
2915 |
+
2913 contains-1
|
2916 |
+
2914 none
|
2917 |
+
2915 none
|
2918 |
+
2916 contains
|
2919 |
+
2917 none
|
2920 |
+
2918 none
|
2921 |
+
2919 none
|
2922 |
+
2920 none
|
2923 |
+
2921 none
|
predict_results_None_ovary.txt
ADDED
@@ -0,0 +1,2923 @@
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|
1 |
+
index prediction
|
2 |
+
0 none
|
3 |
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1 none
|
4 |
+
2 contains
|
5 |
+
3 none
|
6 |
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4 none
|
7 |
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5 none
|
8 |
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6 none
|
9 |
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7 none
|
10 |
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8 contains
|
11 |
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9 none
|
12 |
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10 none
|
13 |
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11 none
|
14 |
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12 none
|
15 |
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13 none
|
16 |
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14 contains
|
17 |
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15 none
|
18 |
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16 none
|
19 |
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17 none
|
20 |
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18 contains-1
|
21 |
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19 none
|
22 |
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20 none
|
23 |
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21 none
|
24 |
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22 none
|
25 |
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23 none
|
26 |
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24 none
|
27 |
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25 none
|
28 |
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26 contains
|
29 |
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27 none
|
30 |
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28 none
|
31 |
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29 none
|
32 |
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30 none
|
33 |
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31 none
|
34 |
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32 none
|
35 |
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33 none
|
36 |
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34 none
|
37 |
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35 none
|
38 |
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36 none
|
39 |
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37 none
|
40 |
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38 none
|
41 |
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39 none
|
42 |
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40 none
|
43 |
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41 none
|
44 |
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42 none
|
45 |
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43 none
|
46 |
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44 none
|
47 |
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45 none
|
48 |
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46 none
|
49 |
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47 none
|
50 |
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48 none
|
51 |
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49 none
|
52 |
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50 none
|
53 |
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51 none
|
54 |
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52 none
|
55 |
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53 none
|
56 |
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54 none
|
57 |
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55 none
|
58 |
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56 none
|
59 |
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57 none
|
60 |
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58 none
|
61 |
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59 none
|
62 |
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60 none
|
63 |
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61 none
|
64 |
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62 none
|
65 |
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63 contains
|
66 |
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64 contains-1
|
67 |
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65 none
|
68 |
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66 contains
|
69 |
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67 none
|
70 |
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68 none
|
71 |
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69 none
|
72 |
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70 none
|
73 |
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71 contains
|
74 |
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72 contains
|
75 |
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73 none
|
76 |
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74 none
|
77 |
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75 none
|
78 |
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76 contains
|
79 |
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77 contains
|
80 |
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78 none
|
81 |
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79 none
|
82 |
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80 none
|
83 |
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81 none
|
84 |
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82 none
|
85 |
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83 contains
|
86 |
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84 none
|
87 |
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85 none
|
88 |
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86 none
|
89 |
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87 none
|
90 |
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88 none
|
91 |
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89 none
|
92 |
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90 none
|
93 |
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91 none
|
94 |
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92 none
|
95 |
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93 none
|
96 |
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94 none
|
97 |
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95 none
|
98 |
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96 contains-1
|
99 |
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97 none
|
100 |
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98 none
|
101 |
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99 none
|
102 |
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100 none
|
103 |
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101 none
|
104 |
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102 contains-1
|
105 |
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103 contains-1
|
106 |
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|
107 |
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105 none
|
108 |
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|
109 |
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|
110 |
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108 contains
|
111 |
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|
112 |
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|
113 |
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111 none
|
114 |
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112 none
|
115 |
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113 ends-on
|
116 |
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|
117 |
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115 none
|
118 |
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116 none
|
119 |
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117 none
|
120 |
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118 none
|
121 |
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119 contains
|
122 |
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|
123 |
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|
124 |
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122 begins-on
|
125 |
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123 none
|
126 |
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124 contains-1
|
127 |
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125 contains
|
128 |
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|
129 |
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127 none
|
130 |
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|
131 |
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129 none
|
132 |
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130 none
|
133 |
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131 none
|
134 |
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132 none
|
135 |
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|
136 |
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134 none
|
137 |
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135 none
|
138 |
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136 none
|
139 |
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137 none
|
140 |
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138 none
|
141 |
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139 none
|
142 |
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140 none
|
143 |
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141 none
|
144 |
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142 none
|
145 |
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143 none
|
146 |
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144 none
|
147 |
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145 none
|
148 |
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146 none
|
149 |
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147 none
|
150 |
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148 none
|
151 |
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149 none
|
152 |
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150 none
|
153 |
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151 none
|
154 |
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152 none
|
155 |
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153 contains
|
156 |
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154 none
|
157 |
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155 none
|
158 |
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156 none
|
159 |
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|
160 |
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|
161 |
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159 none
|
162 |
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160 none
|
163 |
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161 none
|
164 |
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|
165 |
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|
166 |
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|
167 |
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|
168 |
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166 none
|
169 |
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167 none
|
170 |
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|
171 |
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169 none
|
172 |
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170 none
|
173 |
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171 contains
|
174 |
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172 contains-1
|
175 |
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|
176 |
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|
177 |
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|
178 |
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|
179 |
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177 none
|
180 |
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178 none
|
181 |
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179 none
|
182 |
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180 none
|
183 |
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181 none
|
184 |
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|
185 |
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|
186 |
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|
187 |
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|
188 |
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|
189 |
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|
190 |
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188 none
|
191 |
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189 none
|
192 |
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|
193 |
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|
194 |
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192 none
|
195 |
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193 none
|
196 |
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194 none
|
197 |
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195 none
|
198 |
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|
199 |
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197 none
|
200 |
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198 none
|
201 |
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|
202 |
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|
203 |
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201 none
|
204 |
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202 none
|
205 |
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203 none
|
206 |
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|
207 |
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205 none
|
208 |
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206 none
|
209 |
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207 none
|
210 |
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208 none
|
211 |
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209 none
|
212 |
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210 none
|
213 |
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211 contains
|
214 |
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212 contains
|
215 |
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213 none
|
216 |
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214 none
|
217 |
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215 none
|
218 |
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216 contains
|
219 |
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217 contains-1
|
220 |
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218 none
|
221 |
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219 contains
|
222 |
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220 contains-1
|
223 |
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|
224 |
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222 none
|
225 |
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223 contains
|
226 |
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|
227 |
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225 contains
|
228 |
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226 none
|
229 |
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|
230 |
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|
231 |
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|
232 |
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230 contains
|
233 |
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231 contains-1
|
234 |
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|
235 |
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|
236 |
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|
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|
238 |
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|
239 |
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|
240 |
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|
241 |
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|
242 |
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|
243 |
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|
244 |
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|
245 |
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|
246 |
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|
247 |
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|
248 |
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246 none
|
249 |
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247 none
|
250 |
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248 none
|
251 |
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|
252 |
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250 ends-on
|
253 |
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251 none
|
254 |
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252 none
|
255 |
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253 none
|
256 |
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254 none
|
257 |
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255 none
|
258 |
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256 none
|
259 |
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257 none
|
260 |
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258 none
|
261 |
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|
262 |
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260 contains
|
263 |
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261 contains-1
|
264 |
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|
265 |
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|
266 |
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|
267 |
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|
268 |
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266 none
|
269 |
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|
270 |
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|
271 |
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|
272 |
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|
273 |
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|
274 |
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|
275 |
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|
276 |
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|
277 |
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|
278 |
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|
279 |
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|
280 |
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|
281 |
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|
282 |
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280 none
|
283 |
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281 none
|
284 |
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282 none
|
285 |
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|
286 |
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|
287 |
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|
288 |
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|
289 |
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|
290 |
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|
291 |
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289 none
|
292 |
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290 contains
|
293 |
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|
294 |
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292 none
|
295 |
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|
296 |
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|
297 |
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|
298 |
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|
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|
300 |
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|
301 |
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|
302 |
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300 none
|
303 |
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301 none
|
304 |
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302 none
|
305 |
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|
306 |
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|
307 |
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|
308 |
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|
309 |
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|
310 |
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308 none
|
311 |
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309 none
|
312 |
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310 none
|
313 |
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311 none
|
314 |
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|
315 |
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313 contains
|
316 |
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314 contains
|
317 |
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|
318 |
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|
319 |
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|
320 |
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|
321 |
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|
322 |
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|
323 |
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|
324 |
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|
325 |
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|
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|
327 |
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|
328 |
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|
329 |
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|
330 |
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|
331 |
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|
332 |
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|
333 |
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|
334 |
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|
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|
336 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
378 |
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|
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|
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|
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|
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|
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|
387 |
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|
388 |
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|
389 |
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|
390 |
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391 |
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|
392 |
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|
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395 |
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396 |
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|
399 |
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|
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|
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|
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|
405 |
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|
406 |
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|
407 |
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|
408 |
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|
409 |
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|
410 |
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|
411 |
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|
412 |
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410 none
|
413 |
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|
414 |
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|
415 |
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|
416 |
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414 none
|
417 |
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415 contains
|
418 |
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416 none
|
419 |
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417 none
|
420 |
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|
421 |
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|
422 |
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|
423 |
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|
424 |
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422 contains
|
425 |
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423 none
|
426 |
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424 contains
|
427 |
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425 none
|
428 |
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1680 |
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1682 |
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1683 |
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1684 |
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1687 |
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1866 |
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1867 |
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1868 |
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1869 |
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1870 |
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1880 |
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1881 |
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1883 |
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1884 |
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1886 |
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1887 |
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1888 |
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1898 |
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1899 |
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1900 |
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1901 |
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1902 |
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1903 |
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1901 contains
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1904 |
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1905 |
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1906 |
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1907 |
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1908 |
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1909 |
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1910 |
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1911 |
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1912 |
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1913 |
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1914 |
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1912 none
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1915 |
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1913 contains
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1916 |
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1914 none
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1917 |
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1915 none
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1918 |
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1916 none
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1919 |
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1917 none
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1920 |
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1918 none
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1921 |
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1922 |
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1920 none
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1923 |
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1921 none
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1924 |
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1922 contains-1
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1925 |
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1926 |
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1927 |
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1928 |
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1926 none
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1929 |
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1927 none
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1930 |
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1928 contains-1
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1931 |
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1929 none
|
1932 |
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1930 none
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1933 |
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1931 none
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1934 |
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1932 contains
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1935 |
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1933 none
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1936 |
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1934 none
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1937 |
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1935 none
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1938 |
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1939 |
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1937 none
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1940 |
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1938 none
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1941 |
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1939 none
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1942 |
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1940 none
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1943 |
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1941 none
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1944 |
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1942 none
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1945 |
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1943 contains
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1946 |
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1944 none
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1947 |
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1945 none
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1948 |
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1946 none
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1949 |
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1947 contains-1
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1950 |
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1948 none
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1951 |
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1949 none
|
1952 |
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1950 none
|
1953 |
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1951 none
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1954 |
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1952 none
|
1955 |
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1953 none
|
1956 |
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1954 begins-on
|
1957 |
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1955 none
|
1958 |
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1956 none
|
1959 |
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1957 none
|
1960 |
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1958 none
|
1961 |
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1959 none
|
1962 |
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1960 none
|
1963 |
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1961 none
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1964 |
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1962 none
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1965 |
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1963 contains-1
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1966 |
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1964 contains-1
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1967 |
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1965 none
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1968 |
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1966 none
|
1969 |
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1967 none
|
1970 |
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1968 none
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1971 |
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1969 none
|
1972 |
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1970 none
|
1973 |
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1971 none
|
1974 |
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1972 none
|
1975 |
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1973 contains-1
|
1976 |
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1974 none
|
1977 |
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1975 none
|
1978 |
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1976 none
|
1979 |
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1977 none
|
1980 |
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1978 contains
|
1981 |
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1979 none
|
1982 |
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1980 none
|
1983 |
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1981 none
|
1984 |
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1982 none
|
1985 |
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1983 none
|
1986 |
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1984 none
|
1987 |
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1985 none
|
1988 |
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1986 none
|
1989 |
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1987 none
|
1990 |
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1988 none
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1991 |
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1989 contains
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1992 |
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1990 contains
|
1993 |
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1991 contains
|
1994 |
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1992 none
|
1995 |
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1993 none
|
1996 |
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1994 none
|
1997 |
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1995 contains
|
1998 |
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1996 none
|
1999 |
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1997 none
|
2000 |
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1998 none
|
2001 |
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1999 none
|
2002 |
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2000 none
|
2003 |
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2001 none
|
2004 |
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2002 contains-1
|
2005 |
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2003 contains-1
|
2006 |
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2004 none
|
2007 |
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2005 none
|
2008 |
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2006 none
|
2009 |
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2007 none
|
2010 |
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2008 none
|
2011 |
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2009 none
|
2012 |
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2010 none
|
2013 |
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2011 none
|
2014 |
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2012 none
|
2015 |
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2013 none
|
2016 |
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2014 contains
|
2017 |
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2015 none
|
2018 |
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2016 none
|
2019 |
+
2017 none
|
2020 |
+
2018 none
|
2021 |
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2019 none
|
2022 |
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2020 none
|
2023 |
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2021 none
|
2024 |
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2022 none
|
2025 |
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2023 none
|
2026 |
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2024 none
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2027 |
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2025 none
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2028 |
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|
2029 |
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2027 none
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2030 |
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2031 |
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2032 |
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2030 none
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2033 |
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2031 contains-1
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2034 |
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2035 |
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2033 none
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2036 |
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2034 none
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2037 |
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2035 none
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2038 |
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2036 none
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2039 |
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2040 |
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2041 |
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2042 |
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2043 |
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2041 none
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2044 |
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2045 |
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2046 |
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2047 |
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2048 |
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2049 |
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2050 |
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2051 |
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2049 none
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2052 |
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2050 none
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2053 |
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2051 none
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2054 |
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2052 none
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2055 |
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2053 none
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2056 |
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2054 none
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2057 |
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2055 contains-1
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2058 |
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2059 |
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2057 none
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2060 |
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2058 none
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2061 |
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2059 none
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2062 |
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2060 none
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2063 |
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2061 none
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2064 |
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2062 none
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2065 |
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2063 none
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2066 |
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2067 |
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2068 |
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2066 none
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2069 |
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2070 |
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2071 |
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2072 |
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2073 |
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2074 |
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2075 |
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2076 |
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2077 |
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2078 |
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2079 |
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2080 |
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2081 |
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2082 |
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2083 |
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2084 |
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2085 |
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2086 |
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2087 |
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2089 |
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2090 |
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2091 |
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2092 |
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2093 |
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2094 |
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2096 |
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2097 |
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2098 |
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2099 |
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2100 |
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2101 |
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2099 none
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2102 |
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2100 none
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2103 |
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2104 |
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2105 |
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2106 |
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2107 |
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2108 |
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2106 none
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2109 |
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2110 |
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2111 |
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2112 |
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2113 |
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2114 |
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2115 |
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2117 |
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2118 |
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2119 |
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2120 |
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2121 |
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2122 |
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2123 |
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2125 |
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2126 |
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2129 |
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2130 |
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2131 |
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2132 |
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2133 |
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2134 |
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2138 |
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2144 |
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2145 |
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2146 |
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2147 |
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2148 |
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2149 |
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2150 |
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2151 |
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2152 |
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2153 |
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2154 |
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2155 |
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2156 |
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2157 |
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2158 |
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2159 |
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2160 |
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2161 |
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2162 |
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2163 |
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2164 |
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2169 |
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2170 |
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2171 |
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2172 |
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2173 |
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2174 |
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2175 |
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2176 |
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2177 |
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2175 none
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2178 |
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2179 |
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2177 none
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2180 |
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|
2181 |
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2182 |
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2183 |
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2184 |
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2185 |
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2186 |
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2187 |
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2188 |
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2189 |
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2190 |
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2191 |
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2192 |
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2193 |
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2194 |
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2195 |
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2196 |
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2197 |
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2198 |
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|
2199 |
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2197 none
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2200 |
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2201 |
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2199 none
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2202 |
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2200 none
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2203 |
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|
2204 |
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2202 none
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2205 |
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2203 none
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2206 |
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2204 none
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2207 |
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2205 contains
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2208 |
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2206 begins-on
|
2209 |
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2207 none
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2210 |
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2211 |
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2212 |
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2213 |
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2214 |
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2215 |
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2213 none
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2216 |
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2217 |
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2218 |
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2219 |
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2220 |
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2221 |
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2222 |
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2223 |
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2224 |
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2225 |
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2226 |
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2227 |
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2228 |
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2229 |
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2230 |
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2231 |
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2232 |
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2234 |
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2235 |
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2236 |
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2237 |
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2238 |
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2239 |
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2240 |
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2241 |
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2242 |
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2243 |
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2244 |
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2245 |
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2246 |
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2244 none
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2247 |
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2248 |
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2249 |
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2250 |
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2248 none
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2251 |
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2252 |
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2253 |
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2254 |
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2255 |
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2256 |
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2257 |
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2258 |
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2259 |
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2260 |
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2261 |
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2262 |
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2263 |
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2264 |
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2265 |
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2266 |
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2267 |
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2268 |
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2269 |
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2270 |
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2271 |
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2272 |
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2273 |
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2274 |
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2275 |
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2277 |
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2278 |
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2279 |
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2280 |
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2281 |
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2282 |
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2283 |
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2284 |
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2285 |
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2286 |
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2288 |
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2289 |
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2292 |
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2309 |
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2310 |
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2311 |
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2312 |
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2320 |
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2519 |
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2520 |
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2521 |
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2522 |
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2523 |
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pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:965a9a992a00d19561dad377bbc11771d53d5ff19d0c98b4eca49c4fee1031ea
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3 |
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size 438038645
|
special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"mask_token": "[MASK]",
|
4 |
+
"pad_token": "[PAD]",
|
5 |
+
"sep_token": "[SEP]",
|
6 |
+
"unk_token": "[UNK]"
|
7 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,15 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
1 |
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{
|
2 |
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"cls_token": "[CLS]",
|
3 |
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"do_basic_tokenize": true,
|
4 |
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"do_lower_case": true,
|
5 |
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"mask_token": "[MASK]",
|
6 |
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"name_or_path": "tlink_shared_task_weights/pubmed_thyme",
|
7 |
+
"never_split": null,
|
8 |
+
"pad_token": "[PAD]",
|
9 |
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"sep_token": "[SEP]",
|
10 |
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"special_tokens_map_file": null,
|
11 |
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"strip_accents": null,
|
12 |
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"tokenize_chinese_chars": true,
|
13 |
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"tokenizer_class": "BertTokenizer",
|
14 |
+
"unk_token": "[UNK]"
|
15 |
+
}
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train_results.json
ADDED
@@ -0,0 +1,8 @@
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1 |
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{
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|
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"train_loss": 0.09304492578171847,
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"train_runtime": 41.8899,
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|
7 |
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"train_steps_per_second": 27.214
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8 |
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}
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trainer_state.json
ADDED
@@ -0,0 +1,37 @@
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1 |
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{
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"best_metric": null,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
|
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"is_world_process_zero": true,
|
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{
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{
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|
18 |
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"loss": 0.0196,
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"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 10.0,
|
24 |
+
"step": 1140,
|
25 |
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"total_flos": 931250075040000.0,
|
26 |
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"train_loss": 0.09304492578171847,
|
27 |
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"train_runtime": 41.8899,
|
28 |
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"train_samples_per_second": 432.562,
|
29 |
+
"train_steps_per_second": 27.214
|
30 |
+
}
|
31 |
+
],
|
32 |
+
"max_steps": 1140,
|
33 |
+
"num_train_epochs": 10,
|
34 |
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"total_flos": 931250075040000.0,
|
35 |
+
"trial_name": null,
|
36 |
+
"trial_params": null
|
37 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:d1fd4e520847a892201bc47d238faaafd31b15474862faa8b43e806ce2a89fd2
|
3 |
+
size 3451
|
vocab.txt
ADDED
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|
|