Datasets:

---

webstk3

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lab10-make-it-say-no

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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 20 new columns ({'draft_id', 'id', 'raised', 'l3_ok', 'l2_risk', 'l3_errors', 'l2_blocked', 'l2_seconds', 'l3_ms', 'l1_reason', 'stopped_at', 'label', 'draft_origin', 'l2_reason', 'kind', 'l1_ms', 'decision', 'l1_rules', 'l1_blocked', 'l3_reached'}) and 12 missing columns ({'blocked_total', 'missed', 'n_must_pass', 'layer', 'youden_j', 'wrongly_blocked', 'n_must_block', 'let_through', 'caught', 'catch_rate', 'refusal_precision', 'over_refusal_rate'}).

This happened while the csv dataset builder was generating data using

hf://datasets/webstk3/lab10-make-it-say-no/chain_trace.csv (at revision 859f2864608048769e35eda2c16d187109125c6c), ['hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/audit.csv', 'hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/chain_trace.csv', 'hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/disagreements.csv', 'hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/drafts.csv', 'hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/layer2_scores.csv', 'hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/requests.csv', 'hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/threshold_sweep.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
              id: string
              label: string
              kind: string
              raised: double
              l1_ms: double
              l1_blocked: bool
              l1_rules: string
              l1_reason: string
              l2_risk: double
              l2_blocked: bool
              l2_reason: string
              l2_seconds: double
              l3_reached: bool
              draft_id: string
              draft_origin: string
              l3_ok: bool
              l3_errors: double
              stopped_at: string
              decision: string
              l3_ms: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2570
              to
              {'layer': Value('string'), 'n_must_block': Value('int64'), 'n_must_pass': Value('int64'), 'caught': Value('int64'), 'missed': Value('int64'), 'wrongly_blocked': Value('int64'), 'let_through': Value('int64'), 'blocked_total': Value('int64'), 'catch_rate': Value('float64'), 'over_refusal_rate': Value('float64'), 'refusal_precision': Value('float64'), 'youden_j': 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 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 20 new columns ({'draft_id', 'id', 'raised', 'l3_ok', 'l2_risk', 'l3_errors', 'l2_blocked', 'l2_seconds', 'l3_ms', 'l1_reason', 'stopped_at', 'label', 'draft_origin', 'l2_reason', 'kind', 'l1_ms', 'decision', 'l1_rules', 'l1_blocked', 'l3_reached'}) and 12 missing columns ({'blocked_total', 'missed', 'n_must_pass', 'layer', 'youden_j', 'wrongly_blocked', 'n_must_block', 'let_through', 'caught', 'catch_rate', 'refusal_precision', 'over_refusal_rate'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/webstk3/lab10-make-it-say-no/chain_trace.csv (at revision 859f2864608048769e35eda2c16d187109125c6c), ['hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/audit.csv', 'hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/chain_trace.csv', 'hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/disagreements.csv', 'hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/drafts.csv', 'hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/layer2_scores.csv', 'hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/requests.csv', 'hf://datasets/webstk3/lab10-make-it-say-no@859f2864608048769e35eda2c16d187109125c6c/threshold_sweep.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)