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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 ({'Test support', 'Precision', 'Label', 'Recall', 'Predicted count', 'Train support', 'Unsupported in test', 'Most confused with', 'F1'}) and 8 missing columns ({'Experimental condition', 'SD', 'Rank', 'Seeds', 'Label space', 'Test Macro-F1', 'Test Accuracy', 'Model'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AjayRangoji/sanskrit_exp/tantrayukti/results_collation/09_final_evaluation/T23_per_class_evaluation.csv (at revision 8ef90dfbe6a89df903c2554f0a9c6a580563b7ca), ['hf://datasets/AjayRangoji/sanskrit_exp@8ef90dfbe6a89df903c2554f0a9c6a580563b7ca/tantrayukti/results_collation/09_final_evaluation/T22_main_leaderboard.csv', 'hf://datasets/AjayRangoji/sanskrit_exp@8ef90dfbe6a89df903c2554f0a9c6a580563b7ca/tantrayukti/results_collation/09_final_evaluation/T23_per_class_evaluation.csv', 'hf://datasets/AjayRangoji/sanskrit_exp@8ef90dfbe6a89df903c2554f0a9c6a580563b7ca/tantrayukti/results_collation/09_final_evaluation/T24_statistical_significance.csv']
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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1856, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
Label: string
Train support: int64
Test support: int64
Precision: double
Recall: double
F1: double
Predicted count: int64
Most confused with: string
Unsupported in test: bool
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1365
to
{'Rank': Value('int64'), 'Label space': Value('string'), 'Model': Value('string'), 'Experimental condition': Value('string'), 'Test Accuracy': Value('float64'), 'Test Macro-F1': Value('float64'), 'SD': Value('float64'), 'Seeds': Value('string')}
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 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 ({'Test support', 'Precision', 'Label', 'Recall', 'Predicted count', 'Train support', 'Unsupported in test', 'Most confused with', 'F1'}) and 8 missing columns ({'Experimental condition', 'SD', 'Rank', 'Seeds', 'Label space', 'Test Macro-F1', 'Test Accuracy', 'Model'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AjayRangoji/sanskrit_exp/tantrayukti/results_collation/09_final_evaluation/T23_per_class_evaluation.csv (at revision 8ef90dfbe6a89df903c2554f0a9c6a580563b7ca), ['hf://datasets/AjayRangoji/sanskrit_exp@8ef90dfbe6a89df903c2554f0a9c6a580563b7ca/tantrayukti/results_collation/09_final_evaluation/T22_main_leaderboard.csv', 'hf://datasets/AjayRangoji/sanskrit_exp@8ef90dfbe6a89df903c2554f0a9c6a580563b7ca/tantrayukti/results_collation/09_final_evaluation/T23_per_class_evaluation.csv', 'hf://datasets/AjayRangoji/sanskrit_exp@8ef90dfbe6a89df903c2554f0a9c6a580563b7ca/tantrayukti/results_collation/09_final_evaluation/T24_statistical_significance.csv']
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.
Rank int64 | Label space string | Model string | Experimental condition string | Test Accuracy float64 | Test Macro-F1 float64 | SD float64 | Seeds string |
|---|---|---|---|---|---|---|---|
1 | merged37 | char TF-IDF + LinearSVM | best classical baseline (E08) | 0.1604 | 0.054 | 0 | 42,123,2026 |
1 | strict39 | IndicBERTv2-MLM-only + focal loss | best overall supervised result (E22) | 0.1901 | 0.0872 | 0.0066 | 42,123,2026 |
2 | strict39 | IndicBERTv2-MLM-only | fine-tuned encoder (E10-E14 best HP) | null | 0.0715 | 0.0016 | 42,123,2026 |
3 | strict39 | bge-m3-sanskritFT (Sanskrit-tuned) | fine-tuned encoder (E10-E14 best HP) | null | 0.0683 | 0.0044 | 42,123,2026 |
4 | strict39 | XLM-RoBERTa base | fine-tuned encoder (E10-E14 best HP) | null | 0.0535 | 0.004 | 42,123,2026 |
5 | strict39 | char TF-IDF + LinearSVM | best classical baseline (E08) | 0.1634 | 0.0519 | 0 | 42,123,2026 |
6 | strict39 | mBERT | fine-tuned encoder (E10-E14 best HP) | null | 0.0459 | 0.0015 | 42,123,2026 |
7 | strict39 | gpt-oss-120b | best LLM condition (ZS1) | 0.1084 | 0.0428 | null | 42 |
8 | strict39 | IndicBERT (ai4bharat, gated) | fine-tuned encoder (E10-E14 best HP) | null | 0.0341 | 0.0127 | 42,123,2026 |
9 | strict39 | MuRIL base cased | fine-tuned encoder (E10-E14 best HP) | null | 0.0148 | 0.0022 | 42,123,2026 |
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