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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 10 new columns ({'is_correct', 'masked_position', 'true_label', 'relative_repeat_number', 'true_label_probability', 'repeat_key', 'predicted_label_probability', 'rep_id', 'predicted_label', 'cluster_id'}) and 4 missing columns ({'Accuracy', 'Accuracy_std', 'N', 'Task'}).
This happened while the csv dataset builder was generating data using
hf://datasets/latticetower/plms-repeats-circuits-repro/hf_job_evaluation_n300/evaluation/esm-c/approximate/predictions.csv (at revision ca3643b3d928e9440d06a640e27e1b5d2408081d), ['hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/analysis/tasks_performance.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/approximate/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/baseline/baseline_predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/identical/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/synthetic/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/analysis/tasks_performance.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/approximate/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/baseline/baseline_predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/identical/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/synthetic/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/analysis/tasks_performance.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/approximate/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/baseline/baseline_predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/identical/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/synthetic/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/analysis/tasks_performance.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/approximate/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/baseline/baseline_predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/identical/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/synthetic/predictions.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 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, 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 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
cluster_id: string
rep_id: string
repeat_key: string
masked_position: int64
true_label: string
predicted_label: string
true_label_probability: double
predicted_label_probability: double
is_correct: bool
relative_repeat_number: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1565
to
{'Task': Value('string'), 'N': Value('int64'), 'Accuracy': Value('float64'), 'Accuracy_std': Value('float64')}
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 1369, 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 948, 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 1683, 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 1839, 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 10 new columns ({'is_correct', 'masked_position', 'true_label', 'relative_repeat_number', 'true_label_probability', 'repeat_key', 'predicted_label_probability', 'rep_id', 'predicted_label', 'cluster_id'}) and 4 missing columns ({'Accuracy', 'Accuracy_std', 'N', 'Task'}).
This happened while the csv dataset builder was generating data using
hf://datasets/latticetower/plms-repeats-circuits-repro/hf_job_evaluation_n300/evaluation/esm-c/approximate/predictions.csv (at revision ca3643b3d928e9440d06a640e27e1b5d2408081d), ['hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/analysis/tasks_performance.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/approximate/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/baseline/baseline_predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/identical/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/synthetic/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/analysis/tasks_performance.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/approximate/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/baseline/baseline_predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/identical/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/synthetic/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/analysis/tasks_performance.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/approximate/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/baseline/baseline_predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/identical/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm-c/synthetic/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/analysis/tasks_performance.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/approximate/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/baseline/baseline_predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/identical/predictions.csv', 'hf://datasets/latticetower/plms-repeats-circuits-repro@ca3643b3d928e9440d06a640e27e1b5d2408081d/hf_job_evaluation_n300/evaluation/esm3/synthetic/predictions.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.
Task string | N int64 | Accuracy float64 | Accuracy_std float64 |
|---|---|---|---|
Rand. Identical | 300 | 0.99907 | 0.00574 |
Nat. Identical | 300 | 0.99468 | 0.01514 |
Sub-Adjacent | 227 | 0.77146 | 0.28864 |
Indel-Adjacent | 68 | 0.45882 | 0.39171 |
Baseline | 300 | 0.39333 | 0.48931 |
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