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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 9 new columns ({'average_accuracy', 'label', 'number_of_words', 'sentence_2', 'number_of_characters', 'item_difficulty', 'sentence_1', 'flesch_score_textstat', 'mean_grade_level_textstat'}) and 2 missing columns ({'pred_label', 'agg_human_conf'}). This happened while the csv dataset builder was generating data using hf://datasets/GGLab/cogeval/human/SNLI-lalor/snli_human_4gs.csv (at revision 4c26c31e8effd582aa368ba2f194986326f635cd) 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 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast sample_id: int64 snli_id: string sentence_1: string sentence_2: string label: string item_difficulty: double average_accuracy: double flesch_score_textstat: double mean_grade_level_textstat: double number_of_words: int64 number_of_characters: int64 -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1661 to {'sample_id': Value(dtype='int64', id=None), 'snli_id': Value(dtype='string', id=None), 'pred_label': Value(dtype='string', id=None), 'agg_human_conf': Value(dtype='float64', 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 1321, 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 935, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 9 new columns ({'average_accuracy', 'label', 'number_of_words', 'sentence_2', 'number_of_characters', 'item_difficulty', 'sentence_1', 'flesch_score_textstat', 'mean_grade_level_textstat'}) and 2 missing columns ({'pred_label', 'agg_human_conf'}). This happened while the csv dataset builder was generating data using hf://datasets/GGLab/cogeval/human/SNLI-lalor/snli_human_4gs.csv (at revision 4c26c31e8effd582aa368ba2f194986326f635cd) 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)
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sample_id
int64 | snli_id
string | pred_label
string | agg_human_conf
float64 |
---|---|---|---|
0 | 1947351225.jpg#0r1c | contradiction | 0.83828 |
1 | 3626964430.jpg#0r1e | entailment | 0.885363 |
2 | 4576144189.jpg#3r1e | entailment | 0.95087 |
3 | 507370108.jpg#3r1n | neutral | 0.864893 |
4 | 3361210233.jpg#0r1n | neutral | 0.564995 |
5 | 3512127856.jpg#2r1n | neutral | 0.788127 |
6 | 6775386430.jpg#1r1n | neutral | 0.69089 |
7 | 3433982387.jpg#1r1n | entailment | 0.972364 |
8 | 358127240.jpg#4r1n | neutral | 0.749232 |
9 | 4919196839.jpg#0r1e | entailment | 0.962129 |
10 | 2550027486.jpg#3r1n | neutral | 0.775844 |
11 | 5635975939.jpg#3r1c | neutral | 0.55783 |
12 | 4900546628.jpg#2r1n | neutral | 0.753327 |
13 | 7786624414.jpg#2r1c | contradiction | 0.700102 |
14 | 2731171552.jpg#1r1c | neutral | 0.5087 |
15 | 2895548671.jpg#2r1n | neutral | 0.818833 |
16 | 4937760948.jpg#4r1e | entailment | 0.977482 |
17 | 75204250.jpg#2r1n | neutral | 0.853634 |
18 | 2916012955.jpg#4r1n | neutral | 0.875128 |
19 | 2496713113.jpg#3r1c | neutral | 0.501535 |
20 | 4351734575.jpg#0r1e | neutral | 0.626407 |
21 | 7067778185.jpg#2r1e | entailment | 0.859775 |
22 | 4923755473.jpg#1r1n | entailment | 0.74002 |
23 | 956164675.jpg#2r1e | entailment | 0.619243 |
24 | 3590653633.jpg#4r1c | neutral | 0.598772 |
25 | 3469609037.jpg#1r1n | neutral | 0.819857 |
26 | 87938334.jpg#1r1e | entailment | 0.658137 |
27 | 3309042087.jpg#4r1n | neutral | 0.797339 |
28 | 7060264119.jpg#2r1c | contradiction | 0.488229 |
29 | 3386694897.jpg#3r1e | entailment | 0.886387 |
30 | 4291704682.jpg#3r1n | neutral | 0.714432 |
31 | 2178095150.jpg#2r1c | contradiction | 0.698055 |
32 | 3543378438.jpg#1r1c | neutral | 0.737973 |
33 | 2858757067.jpg#3r1e | neutral | 0.547595 |
34 | 4573386995.jpg#1r1c | contradiction | 0.515865 |
35 | 4829253619.jpg#4r1c | neutral | 0.665302 |
36 | 3163477256.jpg#4r1n | entailment | 0.938588 |
37 | 31648340.jpg#1r1n | neutral | 0.500512 |
38 | 2965189317.jpg#2r1n | neutral | 0.627431 |
39 | 3600403707.jpg#2r1c | neutral | 0.813715 |
40 | 430292291.jpg#2r1c | neutral | 0.564995 |
41 | 2983889345.jpg#4r1n | entailment | 0.556807 |
42 | 2760167.jpg#4r1c | neutral | 0.488229 |
43 | 4676792744.jpg#2r1c | contradiction | 0.541453 |
44 | 168728234.jpg#2r1n | entailment | 0.738997 |
45 | 2970162432.jpg#0r1e | entailment | 0.862845 |
46 | 218854747.jpg#3r1n | neutral | 0.501535 |
47 | 2979997455.jpg#0r1n | neutral | 0.834186 |
48 | 4360937435.jpg#3r1n | neutral | 0.536336 |
49 | 2959165388.jpg#4r1e | neutral | 0.799386 |
50 | 4910374312.jpg#4r1e | entailment | 0.967247 |
51 | 4520820052.jpg#1r1c | neutral | 0.67042 |
52 | 3574847368.jpg#0r1c | contradiction | 0.57216 |
53 | 408627152.jpg#3r1c | neutral | 0.617195 |
54 | 3873342570.jpg#2r1c | contradiction | 0.693961 |
55 | 5975778602.jpg#1r1e | entailment | 0.943705 |
56 | 6156372684.jpg#1r1c | contradiction | 0.688843 |
57 | 339800370.jpg#0r1c | contradiction | 0.860798 |
58 | 152979089.jpg#4r1c | contradiction | 0.614125 |
59 | 2849864963.jpg#0r1n | neutral | 0.924258 |
60 | 4758348295.jpg#2r1e | entailment | 0.584442 |
61 | 3655773435.jpg#0r1n | neutral | 0.669396 |
62 | 3933863527.jpg#3r1c | contradiction | 0.497441 |
63 | 6659698.jpg#3r1e | entailment | 0.792221 |
64 | 2908391335.jpg#4r1e | entailment | 0.878199 |
65 | 3427852996.jpg#4r1e | entailment | 0.927329 |
66 | 4717499333.jpg#4r1e | entailment | 0.492323 |
67 | 2175758177.jpg#1r1n | neutral | 0.751279 |
68 | 3456488632.jpg#2r1e | entailment | 0.961105 |
69 | 961664774.jpg#2r1e | entailment | 0.935517 |
70 | 2775461796.jpg#2r1c | contradiction | 0.600819 |
71 | 8089660385.jpg#3r1n | contradiction | 0.567042 |
72 | 248698033.jpg#2r1n | neutral | 0.880246 |
73 | 3011809448.jpg#3r1n | entailment | 0.979529 |
74 | 26720379.jpg#4r1n | neutral | 0.643808 |
75 | 7712223846.jpg#1r1e | entailment | 0.831116 |
76 | 8040947572.jpg#2r1c | contradiction | 0.646878 |
77 | 4637341301.jpg#3r1n | entailment | 0.911975 |
78 | 3060969260.jpg#3r1n | neutral | 0.865916 |
79 | 2800531753.jpg#0r1n | neutral | 0.795292 |
80 | 3611694228.jpg#3r1n | neutral | 0.585466 |
81 | 8025717431.jpg#3r1c | contradiction | 0.963153 |
82 | 2258951972.jpg#4r1n | entailment | 0.977482 |
83 | 7671851684.jpg#0r1e | entailment | 0.543501 |
84 | 3208999896.jpg#4r1c | neutral | 0.531218 |
85 | 3381788544.jpg#0r1c | contradiction | 0.640737 |
86 | 3070485870.jpg#3r1n | neutral | 0.694985 |
87 | 4788967880.jpg#0r1n | neutral | 0.829069 |
88 | 4831683216.jpg#0r1c | neutral | 0.554759 |
89 | 3030015033.jpg#2r1n | neutral | 0.847492 |
0 | 1947351225.jpg#0r1c | null | null |
1 | 3626964430.jpg#0r1e | null | null |
2 | 4576144189.jpg#3r1e | null | null |
3 | 507370108.jpg#3r1n | null | null |
4 | 3361210233.jpg#0r1n | null | null |
5 | 3512127856.jpg#2r1n | null | null |
6 | 6775386430.jpg#1r1n | null | null |
7 | 3433982387.jpg#1r1n | null | null |
8 | 358127240.jpg#4r1n | null | null |
9 | 4919196839.jpg#0r1e | null | null |
End of preview.
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