Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 |
End of preview.
README.md exists but content is empty.
- Downloads last month
- 38