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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 5 new columns ({'hard_l0', 'mse', 'dead_pct', 'expl_var', 'stage'}) and 7 missing columns ({'ppo_step80', 'ppo_step10', 'ppo_step30', 'instruct_base', 'ppo_step50', 'ppo_step116', 'feature_id'}).

This happened while the csv dataset builder was generating data using

hf://datasets/jakelipner/rl-checkpoint-analysis-layer18/sae_quality_per_checkpoint.csv (at revision 52f223873891121363035cf97b84e9a3e89d04f5), ['hf://datasets/jakelipner/rl-checkpoint-analysis-layer18@52f223873891121363035cf97b84e9a3e89d04f5/feature_trajectories.csv', 'hf://datasets/jakelipner/rl-checkpoint-analysis-layer18@52f223873891121363035cf97b84e9a3e89d04f5/sae_quality_per_checkpoint.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
              stage: string
              mse: double
              expl_var: double
              hard_l0: double
              dead_pct: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 843
              to
              {'feature_id': Value('int64'), 'instruct_base': Value('float64'), 'ppo_step10': Value('float64'), 'ppo_step30': Value('float64'), 'ppo_step50': Value('float64'), 'ppo_step80': Value('float64'), 'ppo_step116': 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 5 new columns ({'hard_l0', 'mse', 'dead_pct', 'expl_var', 'stage'}) and 7 missing columns ({'ppo_step80', 'ppo_step10', 'ppo_step30', 'instruct_base', 'ppo_step50', 'ppo_step116', 'feature_id'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/jakelipner/rl-checkpoint-analysis-layer18/sae_quality_per_checkpoint.csv (at revision 52f223873891121363035cf97b84e9a3e89d04f5), ['hf://datasets/jakelipner/rl-checkpoint-analysis-layer18@52f223873891121363035cf97b84e9a3e89d04f5/feature_trajectories.csv', 'hf://datasets/jakelipner/rl-checkpoint-analysis-layer18@52f223873891121363035cf97b84e9a3e89d04f5/sae_quality_per_checkpoint.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)

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feature_id
int64
instruct_base
float64
ppo_step10
float64
ppo_step30
float64
ppo_step50
float64
ppo_step80
float64
ppo_step116
float64
9,597
0.017073
0.017073
0.017073
0.017095
0.017185
0.017207
11,088
0.000045
0.000045
0.000045
0.000045
0.000067
0.000067
4,761
0.00009
0.00009
0.00009
0.00009
0.000112
0.000112
1,588
0.000045
0.000045
0.000045
0.000067
0.000067
0.000067
9,563
0.016624
0.016624
0.016624
0.016624
0.016624
0.016624
9,551
0.016624
0.016624
0.016624
0.016624
0.016624
0.016624
9,552
0.016624
0.016624
0.016624
0.016624
0.016624
0.016624
9,553
0.016624
0.016624
0.016624
0.016624
0.016624
0.016624
9,522
0.016624
0.016624
0.016624
0.016624
0.016624
0.016624
9,554
0.016624
0.016624
0.016624
0.016624
0.016624
0.016624
9,555
0.016624
0.016624
0.016624
0.016624
0.016624
0.016624
9,556
0.016624
0.016624
0.016624
0.016624
0.016624
0.016624
9,557
0.016624
0.016624
0.016624
0.016624
0.016624
0.016624
9,558
0.016624
0.016624
0.016624
0.016624
0.016624
0.016624
9,559
0.016624
0.016624
0.016624
0.016624
0.016624
0.016624
6,023
0.000179
0.000179
0.000179
0.000112
0.000112
0.000135
9,851
0.000179
0.000224
0.000202
0.000179
0.000179
0.000135
4,615
0.000067
0.000067
0.000067
0.000045
0.000045
0.000022
8,295
0.056625
0.056647
0.056558
0.056625
0.056647
0.05658
9,059
0.000045
0.000045
0.000045
0.000045
0.000022
0.000022
9,550
0.016624
0.016624
0.016624
0.016624
0.016624
0.016624
9,549
0.016624
0.016624
0.016624
0.016624
0.016624
0.016624
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