Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
bars: struct<adversarial_fpr: double, recall_at_10: double>
child 0, adversarial_fpr: double
child 1, recall_at_10: double
positives: list<item: struct<case_id: string, expected_strategy_ids: list<item: string>, query: string>>
child 0, item: struct<case_id: string, expected_strategy_ids: list<item: string>, query: string>
child 0, case_id: string
child 1, expected_strategy_ids: list<item: string>
child 0, item: string
child 2, query: string
scope: string
source: string
statistics: struct<held_out_positives: int64, negatives: int64, positives: int64>
child 0, held_out_positives: int64
child 1, negatives: int64
child 2, positives: int64
version: string
files: list<item: string>
child 0, item: string
hashes: struct<README.md: string, release: string, sample_benchmark.json: string, sample_hypotheses.json: st (... 5 chars omitted)
child 0, README.md: string
child 1, release: string
child 2, sample_benchmark.json: string
child 3, sample_hypotheses.json: string
provenance: struct<atlas_manifest: string, derived_from: string, source_registry: string>
child 0, atlas_manifest: string
child 1, derived_from: string
child 2, source_registry: string
rights: struct<premium_corpus_included: bool, public_research_redistributable: bool, restricted_sources_incl (... 11 chars omitted)
child 0, premium_corpus_included: bool
child 1, public_research_redistributable: bool
child 2, restricted_sources_included: bool
name: string
to
{'files': List(Value('string')), 'hashes': {'README.md': Value('string'), 'release': Value('string'), 'sample_benchmark.json': Value('string'), 'sample_hypotheses.json': Value('string')}, 'name': Value('string'), 'provenance': {'atlas_manifest': Value('string'), 'derived_from': Value('string'), 'source_registry': Value('string')}, 'rights': {'premium_corpus_included': Value('bool'), 'public_research_redistributable': Value('bool'), 'restricted_sources_included': Value('bool')}, 'scope': Value('string'), 'version': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
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 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
bars: struct<adversarial_fpr: double, recall_at_10: double>
child 0, adversarial_fpr: double
child 1, recall_at_10: double
positives: list<item: struct<case_id: string, expected_strategy_ids: list<item: string>, query: string>>
child 0, item: struct<case_id: string, expected_strategy_ids: list<item: string>, query: string>
child 0, case_id: string
child 1, expected_strategy_ids: list<item: string>
child 0, item: string
child 2, query: string
scope: string
source: string
statistics: struct<held_out_positives: int64, negatives: int64, positives: int64>
child 0, held_out_positives: int64
child 1, negatives: int64
child 2, positives: int64
version: string
files: list<item: string>
child 0, item: string
hashes: struct<README.md: string, release: string, sample_benchmark.json: string, sample_hypotheses.json: st (... 5 chars omitted)
child 0, README.md: string
child 1, release: string
child 2, sample_benchmark.json: string
child 3, sample_hypotheses.json: string
provenance: struct<atlas_manifest: string, derived_from: string, source_registry: string>
child 0, atlas_manifest: string
child 1, derived_from: string
child 2, source_registry: string
rights: struct<premium_corpus_included: bool, public_research_redistributable: bool, restricted_sources_incl (... 11 chars omitted)
child 0, premium_corpus_included: bool
child 1, public_research_redistributable: bool
child 2, restricted_sources_included: bool
name: string
to
{'files': List(Value('string')), 'hashes': {'README.md': Value('string'), 'release': Value('string'), 'sample_benchmark.json': Value('string'), 'sample_hypotheses.json': Value('string')}, 'name': Value('string'), 'provenance': {'atlas_manifest': Value('string'), 'derived_from': Value('string'), 'source_registry': Value('string')}, 'rights': {'premium_corpus_included': Value('bool'), 'public_research_redistributable': Value('bool'), 'restricted_sources_included': Value('bool')}, 'scope': Value('string'), 'version': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Atlas BioMed Sample for Hugging Face
Research use only. Rights-clean sample and benchmark only. No premium corpus, no restricted-source payload, no patient or sequence content.
Contents
manifest.json: release manifest with input and release hashes, provenance, and research-only scope.- Sample rows: small public reference subset with tier and source
labels preserved (
sample_hypotheses.json: 25 grounded/curated rows;sample_benchmark.json: benchmark bars plus 10 positives).
Rights gate
Before release, run the rights check from the repository root:
python3 scripts/integrations/biomed/check_distribution_rights.py integrations/biomed-distribution/huggingface
The script fails when premium corpus, restricted-source content, patient or sequence content, or secrets are present. Do not publish when the check fails.
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