Datasets:

GaloisTheory123
/

eval_questions

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test

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
pair_id: string
aligned_item: string
non_aligned_item: string
cues_in_aligned: list<item: string>
  child 0, item: string
cues_in_non_aligned: list<item: string>
  child 0, item: string
candidate_flag: string
status: string
dataset_aligned_slot: string
to
{'pair_id': Value('string'), 'dataset_aligned_slot': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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
              pair_id: string
              aligned_item: string
              non_aligned_item: string
              cues_in_aligned: list<item: string>
                child 0, item: string
              cues_in_non_aligned: list<item: string>
                child 0, item: string
              candidate_flag: string
              status: string
              dataset_aligned_slot: string
              to
              {'pair_id': Value('string'), 'dataset_aligned_slot': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              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 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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pair_id string	dataset_aligned_slot string
4c90fcab93d1e51b	b
2d0c3f332c8264eb	b
48b3b17394f8bb8b	b
9ed2424e43f19503	b
b8d40028b0baf459	a
400f005122b03154	a
e65b6bdba9c8e52e	b
0249bf3f7397d84a	b
b6c4193a4bfd8b24	a
9fa00b18a517586b	a
27ef58e58dc7a7ff	b
81e806fd692cdc5b	b
d646a2265fa9b4e5	b
523bcd456b02e3a5	b
130036ed9dd1f09f	a
ded4c27627d98d21	a
e32279a0ad2d55b0	a
305a56ce46b751c0	b
d0468a51c288e1bc	a
b47fefc537669bc7	a
8b4b3a2f579b5625	b
9237f0df5acc5ecd	b
b7afb9c720332d53	b
77de3850d8160ed1	b
1bc196df753412e7	a
0ce070d60f5dd5c4	a
69b2c580b2320c99	b
dc346ff64aae55bb	b
c7467f32efd58d3a	b
d7d94a9bb28e071e	b
b22fca7039703d40	a
2de4b3ebbc5d020a	b
06eb98a541277f9b	b
baa435de8391bb39	b
27bba5bb934630d9	a
9ecc9db1bf98e263	a
60af871cadda423e	a
ca84c88e6bfbe172	a
4891bb1d124d6bc6	b
5322fd02a9da0563	a
b95748085f0cb6e1	a
dd57e43e36af899f	b
b0ce77b9f3c57b94	b
5cfdbb0322df443a	a
8b3444a6d18c7e8c	a
5402458c207016a9	b
ec61786dd93a071c	a
4891fbbb2b66a580	a
1ed0b8cd50c32a26	a
323172e80933891c	b
74702dc54c728319	a
e331cb4ac9dc61e6	b
a4e66a4c4bf406d0	b
3b0e6ac486a1ecd2	b
68c4863775e1112f	b
916a23755bd0978b	b
838c56ec2cd3688b	b
87f99a542b987bbc	b
d84026a95da5eabe	a
582cc9e5fb8e84c2	a
d29113247335468c	b
fade996b4223a82b	a
9f3afdb935777bf6	b
f493e07dcf6881aa	b
0c869ee69d8416bb	a
689839573ea1be68	b
df0c1d844b5c43e8	a
a83e7d554b2916a2	a
e4b1d66d7064e67d	b
9b95093fbd9ef922	a
f3001ee7d0fb7318	b
7edb6387ba9943da	b
887729a6b44f190d	b
12dab2c43be03306	a
3715cf93fa06862f	b
d10fa733de29400a	a
2bbdc30b29687335	a
687c0a6b7f1a76eb	a
d5ff5eb28eb0c454	a
2166492b606ae3be	b
b9507308bf779f61	a
d37bf74c55ffdfbf	b
ef073260d5b5329c	b
0d7a08c31fa83bcf	a
16a2aeaff428b825	a
3b6a104c0979ff11	a
6127b56617fba573	b
61fd6e72d027a716	b
c38df0a7e97d4208	a
2713cc44463a7f79	a
1675d3784c37eee6	a
cf535fa0e0756d2a	a
557082f309cd5501	b
5df515a3b1ac853b	b
d70db50438d92dfc	b
8869e559a40dd3fb	a
237bd61f51edc254	a
b70f37bb2cae974d	a
7cad65d19f89fc98	b
8519b1cc118724f3	a

End of preview.

eval_questions

Versioned, provenance-pinned eval QUESTION banks (not results) for the midtraining_generalization project. Each bank lives under <bank>/<version>/ with a README recording its source pin, file hashes, and the builder module. Consumers must pin by commit SHA.

Banks

affordability_pair_eval/v1/ — pair-controlled free-response affordability manifest: 467 unique unordered pairs x 2 orientations (934 rows), built from chloeli/pro-affordability-item-comparisons@d231e772 (parquet sha256 1faeb9d5...), plus audit baselines and the human-annotation scaffolding.
rival_values/v3_extended/ — PR364 Qwen3-14B Rival Values v3 extended banks: neutral/items.jsonl (2,520 rows, sha256 d0bc7a13...) and direct/items.jsonl (640 rows, sha256 1df305bd...).
rival_values/v4/ — PR366 Rival Values v4 bank: items.jsonl (2,240 rows = 1,600 forced + 640 free primary, sha256 5c5d49e4...), plus frames.jsonl and design.md.
cheese_v2/v2/ — PR367 mixed-MSM cheese question bank: 168 structured forced prompts, 174 spoken prompts, frozen registry, calibrated judge fixtures, and run recipes. See its README for the paired-negation scoring contract and execution instructions.
identity/v1/ — 10 target-blind open-ended self-identity questions; canonical generation is raw free response with 10 samples per item, with a README covering generation, recipe preview, and LLM judging.

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