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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 ({'First author', 'Published year', 'Study type', 'Country', 'Number of patients', 'Chemotherapy regimen', 'Hazard Ratio Estimation Method', 'Outcomes', 'Follow-up period (median) (year)', 'Pathological complete response rate', 'Clinical stage'}) and 6 missing columns ({'Antibody Immunotherapy Agents', 'Univariate or Multivariate Model', 'retrospective or prospective cohort', 'Total Numebr of Participants', 'Cancer Type', 'immune-related adverse event grades'}).
This happened while the csv dataset builder was generating data using
hf://datasets/zifeng-ai/TrialReviewBench/TrialReviewBench-data-extraction/32539858.csv (at revision 6dfc322004341212eb905a6874ccfae416b9f9f5)
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 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, 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 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
First author: string
Published year: int64
Country: string
Study type: string
Number of patients: string
Clinical stage: string
Chemotherapy regimen: string
Pathological complete response rate: string
Follow-up period (median) (year): double
Hazard Ratio Estimation Method: string
Outcomes: string
PMID: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1866
to
{'PMID': Value(dtype='int64', id=None), 'Cancer Type': Value(dtype='string', id=None), 'Antibody Immunotherapy Agents': Value(dtype='string', id=None), 'Total Numebr of Participants': Value(dtype='int64', id=None), 'immune-related adverse event grades': Value(dtype='string', id=None), 'Univariate or Multivariate Model': Value(dtype='string', id=None), 'retrospective or prospective cohort': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1433, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 ({'First author', 'Published year', 'Study type', 'Country', 'Number of patients', 'Chemotherapy regimen', 'Hazard Ratio Estimation Method', 'Outcomes', 'Follow-up period (median) (year)', 'Pathological complete response rate', 'Clinical stage'}) and 6 missing columns ({'Antibody Immunotherapy Agents', 'Univariate or Multivariate Model', 'retrospective or prospective cohort', 'Total Numebr of Participants', 'Cancer Type', 'immune-related adverse event grades'}).
This happened while the csv dataset builder was generating data using
hf://datasets/zifeng-ai/TrialReviewBench/TrialReviewBench-data-extraction/32539858.csv (at revision 6dfc322004341212eb905a6874ccfae416b9f9f5)
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.
PMID int64 | Cancer Type string | Antibody Immunotherapy Agents string | Total Numebr of Participants int64 | immune-related adverse event grades string | Univariate or Multivariate Model string | retrospective or prospective cohort string |
|---|---|---|---|---|---|---|
26,222,619 | multiple cancer types | pembrolizumab | 83 | 1–3 | multivariate | retrospective cohort |
26,446,948 | Melanoma | nivolumab | 143 | 1–3 | multivariate | retrospective cohort |
28,975,219 | non-small-cell lung carcinoma | nivolumab | 130 | 1–4 | multivariate | retrospective cohort |
29,296,533 | non-small-cell lung carcinoma | nivolumab/pembrolizumab | 58 | 1–2 | multivariate | retrospective cohort |
28,652,280 | multiple cancer types | nivolumab/pembrolizumab | 173 | 1–2 | multivariate | retrospective cohort |
27,998,967 | non-small-cell lung carcinoma | pembrolizumab | 48 | 1–3 | univariate | prospective cohort |
27,510,892 | Melanoma | nivolumab | 35 | 1–2 | univariate | retrospective cohort |
30,442,524 | non-small-cell lung carcinoma | nivolumab/pembrolizumab | 270 | 1–4 | univariate | retrospective cohort |
30,589,930 | non-small-cell lung carcinoma | nivolumab/pembrolizumab | 137 | 1–4 | univariate | retrospective cohort |
29,290,265 | non-small-cell lung carcinoma | nivolumab | 18 | 1–4 | univariate | retrospective cohort |
30,682,533 | multiple cancer types | nivolumab/pembrolizumab | 106 | 1–4 | multivariate | retrospective cohort |
30,506,406 | non-small-cell lung carcinoma | nivolumab | 195 | 1–4 | multivariate | retrospective cohort |
30,506,406 | non-small-cell lung carcinoma | nivolumab/pembrolizumab | 246 | 1–2 | multivariate | retrospective cohort |
29,975,414 | Melanoma | ipilimumab | 281 | N.A. | univariate | retrospective cohort |
30,539,281 | Melanoma | nivolumab/pembrolizumab | 173 | 1–5 | multivariate | retrospective cohort |
30,311,424 | non-small-cell lung carcinoma | nivolumab | 104 | 1–4 | multivariate | retrospective cohort |
30,197,259 | non-small-cell lung carcinoma | nivolumab/pembrolizumab/atezolizumab | 91 | 1–4 | univariate | retrospective cohort |
29,382,669 | non-small-cell lung carcinoma | pembrolizumab | 97 | 1–4 | multivariate | retrospective cohort |
29,656,747 | non-small-cell lung carcinoma | nivolumab | 613 | ≥3 | multivariate | retrospective cohort |
30,528,047 | Melanoma | nivolumab | 15 | 1–2 | multivariate | retrospective cohort |
30,782,080 | multiple cancer types | nivolumab/pembrolizumab | 103 | 1–4 | univariate | retrospective cohort |
30,885,550 | non-small-cell lung carcinoma | nivolumab/pembrolizumab | 559 | 1–4 | multivariate | retrospective cohort |
30,911,841 | non-small-cell lung carcinoma | nivolumab/pembrolizumab | 133 | 1–4 | multivariate | retrospective cohort |
31,021,392 | non-small-cell lung carcinoma | nivolumab/pembrolizumab | 83 | N.A. | univariate | prospective cohort |
30,944,023 | renal cell carcinoma | nivolumab | 389 | 1–4 | multivariate | retrospective cohort |
31,086,392 | multiple cancer types | nivolumab | 191 | N.A. | univariate | retrospective cohort |
31,081,424 | non-small-cell lung carcinoma | nivolumab/pembrolizumab | 112 | 3–4 | univariate | retrospective cohort |
30,935,847 | renal cell carcinoma | nivolumab | 47 | 1–4 | multivariate | retrospective cohort |
30,425,107 | Melanoma | ipilimumab | 133 | 1–4 | univariate | retrospective cohort |
31,088,239 | Melanoma | ipilimumab | 100 | 1–3 | univariate | retrospective cohort |
29,470,805 | null | null | null | null | null | null |
21,725,686 | null | null | null | null | null | null |
20,599,225 | null | null | null | null | null | null |
null | null | null | null | null | null | null |
null | null | null | null | null | null | null |
30,290,661 | null | null | null | null | null | null |
29,348,858 | null | null | null | null | null | null |
31,536,530 | null | null | null | null | null | null |
31,280,213 | null | null | null | null | null | null |
31,700,918 | null | null | null | null | null | null |
31,205,914 | null | null | null | null | null | null |
30,181,755 | null | null | null | null | null | null |
30,043,207 | null | null | null | null | null | null |
29,230,663 | null | null | null | null | null | null |
27,709,313 | null | null | null | null | null | null |
25,820,754 | null | null | null | null | null | null |
23,677,653 | null | null | null | null | null | null |
11,821,454 | null | null | null | null | null | null |
29,718,092 | null | null | null | null | null | null |
29,860,922 | null | null | null | null | null | null |
29,804,902 | null | null | null | null | null | null |
31,563,959 | null | null | null | null | null | null |
30,675,515 | null | null | null | null | null | null |
25,524,798 | null | null | null | null | null | null |
30,632,023 | null | null | null | null | null | null |
26,947,331 | null | null | null | null | null | null |
16,140,090 | null | null | null | null | null | null |
20,078,235 | null | null | null | null | null | null |
19,913,249 | null | null | null | null | null | null |
17,081,323 | null | null | null | null | null | null |
17,070,244 | null | null | null | null | null | null |
15,890,586 | null | null | null | null | null | null |
27,637,505 | null | null | null | null | null | null |
7,850,294 | null | null | null | null | null | null |
7,526,002 | null | null | null | null | null | null |
19,076,132 | null | null | null | null | null | null |
3,917,295 | null | null | null | null | null | null |
1,523,739 | null | null | null | null | null | null |
3,411,670 | null | null | null | null | null | null |
19,453,762 | null | null | null | null | null | null |
9,827,721 | null | null | null | null | null | null |
9,697,786 | null | null | null | null | null | null |
24,008,772 | null | null | null | null | null | null |
15,758,726 | null | null | null | null | null | null |
9,474,190 | null | null | null | null | null | null |
28,761,588 | null | null | null | null | null | null |
27,347,619 | null | null | null | null | null | null |
27,347,619 | null | null | null | null | null | null |
19,653,872 | null | null | null | null | null | null |
11,061,900 | null | null | null | null | null | null |
30,385,835 | null | null | null | null | null | null |
31,075,058 | null | null | null | null | null | null |
16,815,663 | null | null | null | null | null | null |
30,006,908 | null | null | null | null | null | null |
21,420,229 | null | null | null | null | null | null |
30,126,045 | null | null | null | null | null | null |
19,303,197 | null | null | null | null | null | null |
30,790,014 | null | null | null | null | null | null |
1,873,780 | null | null | null | null | null | null |
14,532,787 | null | null | null | null | null | null |
28,396,223 | null | null | null | null | null | null |
24,314,031 | null | null | null | null | null | null |
18,639,970 | null | null | null | null | null | null |
16,140,090 | null | null | null | null | null | null |
20,078,235 | null | null | null | null | null | null |
19,913,249 | null | null | null | null | null | null |
17,081,323 | null | null | null | null | null | null |
17,070,244 | null | null | null | null | null | null |
15,890,586 | null | null | null | null | null | null |
27,637,505 | null | null | null | null | null | null |
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