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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 11 new columns ({' "Min_10.0% Prob": 16.68273464838664', ' "Min_5.0% Prob": 36.97676086425781', ' "label": 1}', ' "Min_30.0% Prob": 7.888684855567084', '{"pred": {"ppl": 10.127796173095703', ' "Min_50.0% Prob": 4.626448229653761', ' "Min_40.0% Prob": 6.132451554139455', ' "ppl/lowercase_ppl": -2.00471592909516', ' "ppl/zlib": 0.018823445041544887', ' "Min_20.0% Prob": 10.390435179074606', ' "Min_60.0% Prob": 3.8979165528067634}'}) and 8 missing columns ({'dataset_mi_f1', 'dataset_size', 'known_size', 'AUROC', 'sent_tpr_at_1_fpr', 'sent_level_auc', 'sent_best_f1', 'seed'}).
This happened while the csv dataset builder was generating data using
zip://results/FT/DCoT/questions/haritzpuerto/phi-2-dcot/mia_members.jsonl::hf://datasets/haritzpuerto/scaling_mia@1c4558e32544c247175dfdf9ebfd2d56863e7ced/results.zip
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
{"pred": {"ppl": 10.127796173095703: string
"ppl/lowercase_ppl": -2.00471592909516: string
"ppl/zlib": 0.018823445041544887: string
"Min_5.0% Prob": 36.97676086425781: string
"Min_10.0% Prob": 16.68273464838664: string
"Min_20.0% Prob": 10.390435179074606: string
"Min_30.0% Prob": 7.888684855567084: string
"Min_40.0% Prob": 6.132451554139455: string
"Min_50.0% Prob": 4.626448229653761: string
"Min_60.0% Prob": 3.8979165528067634}: string
"label": 1}: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2156
to
{'known_size': Value(dtype='int64', id=None), 'dataset_size': Value(dtype='int64', id=None), 'seed': Value(dtype='int64', id=None), 'dataset_mi_f1': Value(dtype='float64', id=None), 'sent_best_f1': Value(dtype='float64', id=None), 'sent_tpr_at_1_fpr': Value(dtype='float64', id=None), 'sent_level_auc': Value(dtype='float64', id=None), 'AUROC': 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 1412, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 988, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 11 new columns ({' "Min_10.0% Prob": 16.68273464838664', ' "Min_5.0% Prob": 36.97676086425781', ' "label": 1}', ' "Min_30.0% Prob": 7.888684855567084', '{"pred": {"ppl": 10.127796173095703', ' "Min_50.0% Prob": 4.626448229653761', ' "Min_40.0% Prob": 6.132451554139455', ' "ppl/lowercase_ppl": -2.00471592909516', ' "ppl/zlib": 0.018823445041544887', ' "Min_20.0% Prob": 10.390435179074606', ' "Min_60.0% Prob": 3.8979165528067634}'}) and 8 missing columns ({'dataset_mi_f1', 'dataset_size', 'known_size', 'AUROC', 'sent_tpr_at_1_fpr', 'sent_level_auc', 'sent_best_f1', 'seed'}).
This happened while the csv dataset builder was generating data using
zip://results/FT/DCoT/questions/haritzpuerto/phi-2-dcot/mia_members.jsonl::hf://datasets/haritzpuerto/scaling_mia@1c4558e32544c247175dfdf9ebfd2d56863e7ced/results.zip
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
known_size
int64 | dataset_size
int64 | seed
int64 | dataset_mi_f1
float64 | sent_best_f1
float64 | sent_tpr_at_1_fpr
float64 | sent_level_auc
float64 | AUROC
float64 |
|---|---|---|---|---|---|---|---|
10 | 20 | 66,322 | 0.995 | 0.752249 | 0.030435 | 0.807462 | 0.97065 |
10 | 20 | 96,446 | 0.995 | 0.81362 | 0.027425 | 0.837776 | 0.99995 |
10 | 20 | 58,958 | 0.979998 | 0.80351 | 0.029766 | 0.816737 | 0.9981 |
10 | 20 | 97,851 | 0.995 | 0.803678 | 0.02709 | 0.818351 | 0.9996 |
10 | 20 | 29,547 | 0.959936 | 0.791086 | 0.03612 | 0.792961 | 0.9984 |
20 | 20 | 99,647 | 0.99 | 0.797984 | 0.038255 | 0.806992 | 0.99955 |
20 | 20 | 24,479 | 0.97 | 0.816766 | 0.041275 | 0.836741 | 0.99845 |
20 | 20 | 43,859 | 0.949875 | 0.783874 | 0.021812 | 0.778673 | 0.996 |
20 | 20 | 62,701 | 0.98 | 0.795505 | 0.030537 | 0.796449 | 0.9982 |
20 | 20 | 47,907 | 0.974994 | 0.76472 | 0.032215 | 0.753798 | 0.99565 |
30 | 20 | 13,092 | 0.969973 | 0.810094 | 0.03165 | 0.824205 | 0.99945 |
30 | 20 | 16,676 | 0.974994 | 0.817438 | 0.035017 | 0.841344 | 0.99915 |
30 | 20 | 29,951 | 0.995 | 0.818348 | 0.042088 | 0.835644 | 0.99985 |
30 | 20 | 24,179 | 0.959936 | 0.800654 | 0.03165 | 0.809652 | 0.97575 |
30 | 20 | 23,273 | 0.969973 | 0.785088 | 0.027946 | 0.785273 | 0.99585 |
40 | 20 | 28,670 | 0.985 | 0.809658 | 0.030068 | 0.842503 | 0.99815 |
40 | 20 | 25,473 | 0.979992 | 0.754274 | 0.030068 | 0.819757 | 0.9967 |
40 | 20 | 30,402 | 0.964978 | 0.812773 | 0.035473 | 0.82418 | 0.9977 |
40 | 20 | 78,712 | 0.979998 | 0.805706 | 0.031419 | 0.818445 | 0.99955 |
40 | 20 | 24,422 | 0.954945 | 0.788098 | 0.036486 | 0.791574 | 0.9969 |
50 | 20 | 52,414 | 0.985 | 0.773177 | 0.027119 | 0.833611 | 0.91825 |
50 | 20 | 92,574 | 0.984997 | 0.815536 | 0.027797 | 0.839589 | 0.9994 |
50 | 20 | 25,752 | 0.985 | 0.798796 | 0.030508 | 0.805122 | 0.9987 |
50 | 20 | 73,539 | 0.974994 | 0.763817 | 0.025424 | 0.753693 | 0.99865 |
50 | 20 | 33,010 | 0.974999 | 0.793484 | 0.028475 | 0.79389 | 0.99725 |
10 | 40 | 87,939 | 0.995 | 0.808499 | 0.022742 | 0.845974 | 1 |
10 | 40 | 10,675 | 0.995 | 0.764472 | 0.032107 | 0.832385 | 1 |
10 | 40 | 27,444 | 0.995 | 0.793001 | 0.039465 | 0.798283 | 1 |
10 | 40 | 49,019 | 0.974984 | 0.786526 | 0.035786 | 0.786206 | 1 |
10 | 40 | 57,461 | 0.919485 | 0.782368 | 0.034783 | 0.775764 | 1 |
20 | 40 | 16,612 | 0.995 | 0.789984 | 0.02953 | 0.845391 | 1 |
20 | 40 | 2,399 | 1 | 0.811095 | 0.031544 | 0.842436 | 1 |
20 | 40 | 29,344 | 1 | 0.809523 | 0.028859 | 0.827536 | 1 |
20 | 40 | 59,273 | 0.995 | 0.802012 | 0.032215 | 0.812699 | 0.9999 |
20 | 40 | 62,710 | 0.964957 | 0.773698 | 0.027181 | 0.758489 | 1 |
30 | 40 | 88,340 | 1 | 0.801666 | 0.028283 | 0.808883 | 1 |
30 | 40 | 19,618 | 0.995 | 0.773825 | 0.030976 | 0.771424 | 1 |
30 | 40 | 10,313 | 1 | 0.800987 | 0.030303 | 0.808115 | 1 |
30 | 40 | 2,064 | 1 | 0.752823 | 0.038721 | 0.790004 | 1 |
30 | 40 | 40,751 | 1 | 0.810863 | 0.030303 | 0.846818 | 1 |
40 | 40 | 95,711 | 1 | 0.820702 | 0.036486 | 0.840242 | 1 |
40 | 40 | 33,915 | 1 | 0.753159 | 0.037162 | 0.78513 | 1 |
40 | 40 | 5,077 | 1 | 0.817367 | 0.040203 | 0.840079 | 1 |
40 | 40 | 75,704 | 0.995 | 0.795608 | 0.030743 | 0.804652 | 1 |
40 | 40 | 35,588 | 0.995 | 0.780389 | 0.030068 | 0.774923 | 0.99985 |
50 | 40 | 70,875 | 1 | 0.801733 | 0.038305 | 0.85621 | 1 |
50 | 40 | 54,532 | 1 | 0.792031 | 0.030508 | 0.794552 | 1 |
50 | 40 | 5,319 | 0.995 | 0.750634 | 0.03322 | 0.819574 | 1 |
50 | 40 | 91,879 | 1 | 0.805755 | 0.101356 | 0.816894 | 1 |
50 | 40 | 58,052 | 1 | 0.784101 | 0.03322 | 0.78235 | 1 |
10 | 60 | 60,134 | 1 | 0.810152 | 0.033779 | 0.854978 | 0.96 |
10 | 60 | 49,165 | 0.969973 | 0.795616 | 0.035452 | 0.796365 | 1 |
10 | 60 | 22,461 | 1 | 0.783126 | 0.031104 | 0.782445 | 1 |
10 | 60 | 78,857 | 1 | 0.804347 | 0.032107 | 0.809548 | 1 |
10 | 60 | 87,913 | 1 | 0.806519 | 0.027425 | 0.825517 | 0.981 |
20 | 60 | 47,513 | 1 | 0.81506 | 0.034564 | 0.833852 | 0.9712 |
20 | 60 | 61,362 | 1 | 0.802349 | 0.034899 | 0.812256 | 1 |
20 | 60 | 85,445 | 1 | 0.799371 | 0.032886 | 0.803548 | 1 |
20 | 60 | 60,706 | 1 | 0.757977 | 0.036242 | 0.813848 | 1 |
20 | 60 | 11,396 | 1 | 0.809393 | 0.03255 | 0.822197 | 1 |
30 | 60 | 23,401 | 1 | 0.79982 | 0.035017 | 0.799914 | 1 |
30 | 60 | 4,772 | 1 | 0.812956 | 0.033333 | 0.822961 | 1 |
30 | 60 | 4,867 | 1 | 0.803198 | 0.041414 | 0.814716 | 1 |
30 | 60 | 81,881 | 1 | 0.790818 | 0.025926 | 0.790325 | 1 |
30 | 60 | 25,318 | 1 | 0.817886 | 0.02963 | 0.844273 | 1 |
40 | 60 | 48,239 | 1 | 0.784906 | 0.033446 | 0.778802 | 1 |
40 | 60 | 65,900 | 1 | 0.776218 | 0.026351 | 0.764059 | 1 |
40 | 60 | 65,816 | 1 | 0.804223 | 0.030743 | 0.813786 | 1 |
40 | 60 | 184 | 1 | 0.811314 | 0.038176 | 0.829086 | 1 |
40 | 60 | 75,839 | 0.995 | 0.767403 | 0.026351 | 0.754912 | 1 |
50 | 60 | 54,603 | 1 | 0.788372 | 0.031186 | 0.788756 | 1 |
50 | 60 | 31,618 | 1 | 0.803967 | 0.025085 | 0.822095 | 1 |
50 | 60 | 62,834 | 1 | 0.786598 | 0.030169 | 0.788657 | 1 |
50 | 60 | 83,626 | 1 | 0.786523 | 0.027797 | 0.789498 | 1 |
50 | 60 | 563 | 1 | 0.817244 | 0.031525 | 0.847666 | 0.9801 |
10 | 80 | 89,588 | 1 | 0.778494 | 0.027759 | 0.770185 | 1 |
10 | 80 | 37,995 | 1 | 0.809196 | 0.031104 | 0.827734 | 1 |
10 | 80 | 60,258 | 1 | 0.773997 | 0.03913 | 0.773198 | 1 |
10 | 80 | 77,163 | 1 | 0.78894 | 0.038127 | 0.783325 | 1 |
10 | 80 | 94,311 | 0.995 | 0.770236 | 0.037124 | 0.762043 | 1 |
20 | 80 | 54,703 | 1 | 0.802173 | 0.029195 | 0.810182 | 1 |
20 | 80 | 5,573 | 1 | 0.759125 | 0.030872 | 0.779863 | 1 |
20 | 80 | 76,334 | 1 | 0.806561 | 0.027181 | 0.823249 | 1 |
20 | 80 | 15,873 | 1 | 0.806856 | 0.032215 | 0.817997 | 1 |
20 | 80 | 18,700 | 1 | 0.81739 | 0.037584 | 0.844633 | 1 |
30 | 80 | 73,841 | 1 | 0.800673 | 0.03771 | 0.809167 | 1 |
30 | 80 | 81,895 | 1 | 0.805854 | 0.020539 | 0.81862 | 1 |
30 | 80 | 5,766 | 1 | 0.802837 | 0.027946 | 0.806238 | 1 |
30 | 80 | 66,138 | 1 | 0.8107 | 0.029966 | 0.829206 | 1 |
30 | 80 | 36,905 | 1 | 0.804713 | 0.043434 | 0.813946 | 1 |
40 | 80 | 87,119 | 1 | 0.816752 | 0.023986 | 0.835714 | 1 |
40 | 80 | 50,467 | 1 | 0.81072 | 0.016892 | 0.825768 | 1 |
40 | 80 | 87,650 | 1 | 0.802487 | 0.028716 | 0.813816 | 1 |
40 | 80 | 45,752 | 1 | 0.816395 | 0.039527 | 0.841915 | 1 |
40 | 80 | 733 | 1 | 0.796777 | 0.033784 | 0.799523 | 1 |
50 | 80 | 98,995 | 1 | 0.796208 | 0.03322 | 0.79917 | 1 |
50 | 80 | 97,127 | 1 | 0.81558 | 0.024068 | 0.833713 | 0.92 |
50 | 80 | 98,154 | 1 | 0.783216 | 0.037288 | 0.8368 | 1 |
50 | 80 | 74,887 | 1 | 0.779889 | 0.032203 | 0.777423 | 1 |
50 | 80 | 95,264 | 1 | 0.815719 | 0.036949 | 0.831328 | 1 |
End of preview.
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