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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 16 new columns ({'errors', 'is_error', 'title', 'error_location', 'paper_source1', 'matches', 'parsed', 'paper_content', 'paper_source2', 'error_category', 'match_descriptions', 'error_local_content', 'paper_category', 'error_annotation', 'doi/arxiv_id', 'error_severity'}) and 7 missing columns ({'per_paper', 'precision_macro', 'recall_macro', 'N', 'PPR', 'recall_micro', 'precision_micro'}).
This happened while the csv dataset builder was generating data using
hf://datasets/amphora/spot-results/gpt-4_1_resp_df_0.csv (at revision d5dea982bc74d8e776b00cad05ed6b93ff03fed5)
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
doi/arxiv_id: string
parsed: bool
is_error: bool
errors: string
title: string
paper_source1: string
paper_source2: string
paper_category: string
paper_content: string
error_category: string
error_location: string
error_severity: string
error_annotation: string
error_local_content: string
matches: string
match_descriptions: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2234
to
{'N': Value(dtype='int64', id=None), 'precision_micro': Value(dtype='float64', id=None), 'recall_micro': Value(dtype='float64', id=None), 'precision_macro': Value(dtype='float64', id=None), 'recall_macro': Value(dtype='float64', id=None), 'PPR': Value(dtype='float64', id=None), 'per_paper': 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 1431, 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 992, in stream_convert_to_parquet
builder._prepare_split(
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 16 new columns ({'errors', 'is_error', 'title', 'error_location', 'paper_source1', 'matches', 'parsed', 'paper_content', 'paper_source2', 'error_category', 'match_descriptions', 'error_local_content', 'paper_category', 'error_annotation', 'doi/arxiv_id', 'error_severity'}) and 7 missing columns ({'per_paper', 'precision_macro', 'recall_macro', 'N', 'PPR', 'recall_micro', 'precision_micro'}).
This happened while the csv dataset builder was generating data using
hf://datasets/amphora/spot-results/gpt-4_1_resp_df_0.csv (at revision d5dea982bc74d8e776b00cad05ed6b93ff03fed5)
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.
N int64 | precision_micro float64 | recall_micro float64 | precision_macro float64 | recall_macro float64 | PPR float64 | per_paper string |
|---|---|---|---|---|---|---|
83 | 0.035354 | 0.076923 | 0.020482 | 0.084337 | 0.084337 | [{'doi/arxiv_id': '10.1002/btm2.10667', 'k_i': 1, 'TP_i': 0, 'FP_i': 5, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10571-024-01456-7', 'k_i': 1, 'TP_i': 0, 'FP_i': 9, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06518-2', 'k_i': 1, 'TP_i': 0, 'FP_i': 0, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06571-x', 'k_i': ... |
83 | 0.041237 | 0.087912 | 0.01747 | 0.096386 | 0.096386 | [{'doi/arxiv_id': '10.1002/btm2.10667', 'k_i': 1, 'TP_i': 0, 'FP_i': 4, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10571-024-01456-7', 'k_i': 1, 'TP_i': 0, 'FP_i': 6, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06518-2', 'k_i': 1, 'TP_i': 0, 'FP_i': 0, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06571-x', 'k_i': ... |
83 | 0.032258 | 0.065934 | 0.011044 | 0.072289 | 0.072289 | [{'doi/arxiv_id': '10.1002/btm2.10667', 'k_i': 1, 'TP_i': 0, 'FP_i': 4, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10571-024-01456-7', 'k_i': 1, 'TP_i': 0, 'FP_i': 5, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06518-2', 'k_i': 1, 'TP_i': 0, 'FP_i': 9, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06571-x', 'k_i': ... |
83 | 0.025907 | 0.054945 | 0.008434 | 0.054217 | 0.048193 | [{'doi/arxiv_id': '10.1002/btm2.10667', 'k_i': 1, 'TP_i': 0, 'FP_i': 6, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10571-024-01456-7', 'k_i': 1, 'TP_i': 0, 'FP_i': 4, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06518-2', 'k_i': 1, 'TP_i': 0, 'FP_i': 5, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06571-x', 'k_i': ... |
83 | 0.021053 | 0.043956 | 0.00676 | 0.048193 | 0.048193 | [{'doi/arxiv_id': '10.1002/btm2.10667', 'k_i': 1, 'TP_i': 0, 'FP_i': 2, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10571-024-01456-7', 'k_i': 1, 'TP_i': 0, 'FP_i': 4, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06518-2', 'k_i': 1, 'TP_i': 0, 'FP_i': 5, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06571-x', 'k_i': ... |
83 | 0.019608 | 0.043956 | 0.018072 | 0.040161 | 0.036145 | [{'doi/arxiv_id': '10.1002/btm2.10667', 'k_i': 1, 'TP_i': 0, 'FP_i': 4, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10571-024-01456-7', 'k_i': 1, 'TP_i': 0, 'FP_i': 6, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06518-2', 'k_i': 1, 'TP_i': 0, 'FP_i': 4, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06571-x', 'k_i': ... |
83 | 0.034682 | 0.065934 | 0.013454 | 0.072289 | 0.072289 | [{'doi/arxiv_id': '10.1002/btm2.10667', 'k_i': 1, 'TP_i': 0, 'FP_i': 5, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10571-024-01456-7', 'k_i': 1, 'TP_i': 0, 'FP_i': 6, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06518-2', 'k_i': 1, 'TP_i': 0, 'FP_i': 7, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06571-x', 'k_i': ... |
83 | 0.02139 | 0.043956 | 0.018072 | 0.048193 | 0.048193 | [{'doi/arxiv_id': '10.1002/btm2.10667', 'k_i': 1, 'TP_i': 0, 'FP_i': 2, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10571-024-01456-7', 'k_i': 1, 'TP_i': 0, 'FP_i': 8, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06518-2', 'k_i': 1, 'TP_i': 0, 'FP_i': 0, 'FN_i': 1}, {'doi/arxiv_id': '10.1007/s10971-024-06571-x', 'k_i': ... |
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