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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 6 new columns ({'role', 'n', 'params_B', 'MiB', 'scored', 'pct_of_text'}) and 7 missing columns ({'bits_per_wt', 'bits', 'group', 'fixed_GiB', 'quant_GiB', 'size_frac', 'size_frac_with_perm'}).
This happened while the csv dataset builder was generating data using
hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics/tier1_families.csv (at revision 4418ca1e87117e992a80d2edbc6e91943eee39cd), ['hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier1_budget.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier1_families.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier1_per_layer.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier1_tensors.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier1_triage.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier2_weight_stats.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier3_activations.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier3_ranking_compare.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 1848, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
role: string
n: int64
params_B: double
MiB: double
pct_of_text: double
scored: bool
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 939
to
{'bits': Value('int64'), 'group': Value('int64'), 'bits_per_wt': Value('float64'), 'quant_GiB': Value('float64'), 'fixed_GiB': Value('float64'), 'size_frac': Value('float64'), 'size_frac_with_perm': 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 1694, 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 1850, 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 6 new columns ({'role', 'n', 'params_B', 'MiB', 'scored', 'pct_of_text'}) and 7 missing columns ({'bits_per_wt', 'bits', 'group', 'fixed_GiB', 'quant_GiB', 'size_frac', 'size_frac_with_perm'}).
This happened while the csv dataset builder was generating data using
hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics/tier1_families.csv (at revision 4418ca1e87117e992a80d2edbc6e91943eee39cd), ['hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier1_budget.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier1_families.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier1_per_layer.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier1_tensors.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier1_triage.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier2_weight_stats.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier3_activations.csv', 'hf://datasets/grey-cat/cs6013-qwen35-4b-diagnostics@4418ca1e87117e992a80d2edbc6e91943eee39cd/tier3_ranking_compare.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.
bits int64 | group int64 | bits_per_wt float64 | quant_GiB float64 | fixed_GiB float64 | size_frac float64 | size_frac_with_perm float64 |
|---|---|---|---|---|---|---|
3 | 32 | 3.75 | 1.8866 | 0.0091 | 0.2352 | 0.2356 |
3 | 64 | 3.375 | 1.6979 | 0.0091 | 0.2118 | 0.2122 |
3 | 128 | 3.1875 | 1.6036 | 0.0091 | 0.2001 | 0.2005 |
4 | 32 | 4.75 | 2.3896 | 0.0091 | 0.2977 | 0.298 |
4 | 64 | 4.375 | 2.201 | 0.0091 | 0.2743 | 0.2746 |
4 | 128 | 4.1875 | 2.1067 | 0.0091 | 0.2626 | 0.2629 |
8 | 32 | 8.75 | 4.402 | 0.0091 | 0.5474 | 0.5478 |
8 | 64 | 8.375 | 4.2133 | 0.0091 | 0.524 | 0.5244 |
8 | 128 | 8.1875 | 4.119 | 0.0091 | 0.5123 | 0.5126 |
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End of preview.
Base-model diagnostics — Qwen/Qwen3.5-4B
Generated by week7_gptq_40/notebooks/model_diagnostics.py.
Calibration traces: grey-cat/cs6013-calib-traces-v1.
| quantity | value |
|---|---|
| tensors in checkpoint | 738 |
| scored TEXT bytes | 8,652,709,376 (8.0585 GiB) |
matches harness constant 8,652,701,696 |
NO — results unusable |
| uniform int4 / group 64 | size_frac = 0.2743 |
| uniform int8 / group 64 | size_frac = 0.5240 |
| Spearman rho, plain vs Hessian-weighted ranking | 0.7167 |
3-bit rows in tier1_budget.csv are idealised bit costs — the packer only
emits 4- and 8-bit today. Tier 2 subsamples rows per tensor. Tier 3 uses the
longest traces, so it is not a uniform sample of the corpus.
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