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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 2 new columns ({'outlier_type', 'alpha'}) and 1 missing columns ({'iter'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Srishti280992/repro-mamba-icl-outliers-actual/actual_outputs/fig2.csv (at revision d0daa81356fd508db339a949d418e462bb5ade6c), ['hf://datasets/Srishti280992/repro-mamba-icl-outliers-actual@d0daa81356fd508db339a949d418e462bb5ade6c/actual_outputs/convergence.csv', 'hf://datasets/Srishti280992/repro-mamba-icl-outliers-actual@d0daa81356fd508db339a949d418e462bb5ade6c/actual_outputs/fig2.csv', 'hf://datasets/Srishti280992/repro-mamba-icl-outliers-actual@d0daa81356fd508db339a949d418e462bb5ade6c/actual_outputs/mechanism.csv', 'hf://datasets/Srishti280992/repro-mamba-icl-outliers-actual@d0daa81356fd508db339a949d418e462bb5ade6c/actual_outputs/pa_threshold.csv', 'hf://datasets/Srishti280992/repro-mamba-icl-outliers-actual@d0daa81356fd508db339a949d418e462bb5ade6c/actual_outputs/table1.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
outlier_type: string
arch: string
alpha: double
error: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 732
to
{'arch': Value('string'), 'iter': Value('int64'), 'error': 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 2 new columns ({'outlier_type', 'alpha'}) and 1 missing columns ({'iter'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Srishti280992/repro-mamba-icl-outliers-actual/actual_outputs/fig2.csv (at revision d0daa81356fd508db339a949d418e462bb5ade6c), ['hf://datasets/Srishti280992/repro-mamba-icl-outliers-actual@d0daa81356fd508db339a949d418e462bb5ade6c/actual_outputs/convergence.csv', 'hf://datasets/Srishti280992/repro-mamba-icl-outliers-actual@d0daa81356fd508db339a949d418e462bb5ade6c/actual_outputs/fig2.csv', 'hf://datasets/Srishti280992/repro-mamba-icl-outliers-actual@d0daa81356fd508db339a949d418e462bb5ade6c/actual_outputs/mechanism.csv', 'hf://datasets/Srishti280992/repro-mamba-icl-outliers-actual@d0daa81356fd508db339a949d418e462bb5ade6c/actual_outputs/pa_threshold.csv', 'hf://datasets/Srishti280992/repro-mamba-icl-outliers-actual@d0daa81356fd508db339a949d418e462bb5ade6c/actual_outputs/table1.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.
arch string | iter int64 | error float64 |
|---|---|---|
Mamba | 1 | 0.3295 |
Mamba | 2 | 0.3315 |
Mamba | 5 | 0.3345 |
Mamba | 10 | 0.3295 |
Mamba | 20 | 0.2915 |
Mamba | 40 | 0.1045 |
Mamba | 70 | 0.0275 |
Mamba | 100 | 0.0105 |
Mamba | 150 | 0.007 |
Mamba | 200 | 0.006 |
Mamba | 300 | 0.003 |
Mamba | 500 | 0.0005 |
Mamba | 800 | 0 |
Mamba | 1,200 | 0 |
Mamba | 1,800 | 0 |
Mamba | 2,500 | 0 |
Mamba | 4,000 | 0 |
LT | 1 | 0.034 |
LT | 2 | 0.0185 |
LT | 5 | 0.04 |
LT | 10 | 0.0265 |
LT | 20 | 0.023 |
LT | 40 | 0.0055 |
LT | 70 | 0.005 |
LT | 100 | 0.0005 |
LT | 150 | 0 |
LT | 200 | 0 |
LT | 300 | 0 |
LT | 500 | 0 |
LT | 800 | 0 |
LT | 1,200 | 0 |
LT | 1,800 | 0 |
LT | 2,500 | 0 |
LT | 4,000 | 0 |
Mamba | null | 0 |
Mamba | null | 0 |
Mamba | null | 0.0001 |
Mamba | null | 0.0005 |
Mamba | null | 0.001 |
Mamba | null | 0.0034 |
Mamba | null | 0.0157 |
Mamba | null | 0.0754 |
Mamba | null | 0.2897 |
Mamba | null | 0.7594 |
LT | null | 0 |
LT | null | 0 |
LT | null | 0 |
LT | null | 0.0001 |
LT | null | 0.0035 |
LT | null | 0.5884 |
LT | null | 0.998 |
LT | null | 1 |
LT | null | 1 |
LT | null | 1 |
Mamba | null | 0 |
Mamba | null | 0 |
Mamba | null | 0.0001 |
Mamba | null | 0.0004 |
Mamba | null | 0.0008 |
Mamba | null | 0.0021 |
Mamba | null | 0.0067 |
Mamba | null | 0.0256 |
Mamba | null | 0.0912 |
Mamba | null | 0.2825 |
LT | null | 0 |
LT | null | 0 |
LT | null | 0 |
LT | null | 0.0001 |
LT | null | 0.0005 |
LT | null | 0.0062 |
LT | null | 0.0369 |
LT | null | 0.1128 |
LT | null | 0.2292 |
LT | null | 0.3647 |
Mamba | null | 0 |
Mamba | null | 0 |
Mamba | null | 0 |
Mamba | null | 0 |
Mamba | null | 0.0001 |
Mamba | null | 0.0003 |
Mamba | null | 0.0016 |
Mamba | null | 0.0047 |
Mamba | null | 0.0246 |
Mamba | null | 0.1264 |
LT | null | 0 |
LT | null | 0 |
LT | null | 0 |
LT | null | 0 |
LT | null | 0.0001 |
LT | null | 0.0013 |
LT | null | 0.0137 |
LT | null | 0.0695 |
LT | null | 0.1843 |
LT | null | 0.3502 |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
End of preview.
Actual Mamba ICL Outlier Reproduction Artifacts
Measured reproduction artifacts for ICML 2026 paper C41aLahRXZ, "How Can Mamba Learn In Context with Outliers and Generalize Provably?".
The scripts implement the paper synthetic setup: Eq. (3), Definitions 1-2, hinge-loss SGD, one-layer Mamba and linear Transformer control. Outputs in actual_outputs/ are from 5 seeds, 4000 SGD iterations, batch 128, and 4000 prompts per evaluation point.
HF GPU evidence: https://huggingface.co/jobs/Srishti280992/6a630dc9db23d7a7ec1c9f09
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