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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 20 new columns ({'l2_seconds', 'l3_reached', 'id', 'l1_blocked', 'draft_origin', 'decision', 'kind', 'l1_reason', 'draft_id', 'l3_errors', 'l2_blocked', 'l1_ms', 'l2_risk', 'stopped_at', 'l2_reason', 'label', 'l3_ms', 'l1_rules', 'l3_ok', 'raised'}) and 12 missing columns ({'let_through', 'youden_j', 'wrongly_blocked', 'catch_rate', 'layer', 'refusal_precision', 'caught', 'n_must_pass', 'missed', 'n_must_block', 'over_refusal_rate', 'blocked_total'}).
This happened while the csv dataset builder was generating data using
hf://datasets/richardyoung/lab10-make-it-say-no/chain_trace.csv (at revision a46a786c64286d14d2456d51b6796162c4067921), ['hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/audit.csv', 'hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/chain_trace.csv', 'hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/disagreements.csv', 'hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/drafts.csv', 'hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/layer2_scores.csv', 'hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/requests.csv', 'hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/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 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
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 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 20 new columns ({'l2_seconds', 'l3_reached', 'id', 'l1_blocked', 'draft_origin', 'decision', 'kind', 'l1_reason', 'draft_id', 'l3_errors', 'l2_blocked', 'l1_ms', 'l2_risk', 'stopped_at', 'l2_reason', 'label', 'l3_ms', 'l1_rules', 'l3_ok', 'raised'}) and 12 missing columns ({'let_through', 'youden_j', 'wrongly_blocked', 'catch_rate', 'layer', 'refusal_precision', 'caught', 'n_must_pass', 'missed', 'n_must_block', 'over_refusal_rate', 'blocked_total'}).
This happened while the csv dataset builder was generating data using
hf://datasets/richardyoung/lab10-make-it-say-no/chain_trace.csv (at revision a46a786c64286d14d2456d51b6796162c4067921), ['hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/audit.csv', 'hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/chain_trace.csv', 'hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/disagreements.csv', 'hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/drafts.csv', 'hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/layer2_scores.csv', 'hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/requests.csv', 'hf://datasets/richardyoung/lab10-make-it-say-no@a46a786c64286d14d2456d51b6796162c4067921/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)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.
layer string | n_must_block int64 | n_must_pass int64 | caught int64 | missed int64 | wrongly_blocked int64 | let_through int64 | blocked_total int64 | catch_rate float64 | over_refusal_rate float64 | refusal_precision float64 | youden_j float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|
layer 1 · input filter (instructor) | 10 | 10 | 4 | 6 | 1 | 9 | 5 | 0.4 | 0.1 | 0.8 | 0.3 |
layer 1 · PARANOID variant (the control experiment) | 10 | 10 | 10 | 0 | 10 | 0 | 20 | 1 | 1 | 0.5 | 0 |
layer 2 · scope judge (model:qwen2.5:3b-instruct) @ t>0.50 | 10 | 10 | 10 | 0 | 8 | 2 | 18 | 1 | 0.8 | 0.5556 | 0.2 |
layer 3 · output schema (instructor) | 5 | 5 | 5 | 0 | 0 | 5 | 5 | 1 | 0 | 1 | 1 |
THE CHAIN · first refusal wins | 10 | 10 | 10 | 0 | 8 | 2 | 18 | 1 | 0.8 | 0.5556 | 0.2 |
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