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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
authenticity_not_established: bool
baseline_identity: struct<failure_code: null, hardware: struct<accelerator_observed: string, cpu_cores_observed: string (... 1186 chars omitted)
  child 0, failure_code: null
  child 1, hardware: struct<accelerator_observed: string, cpu_cores_observed: string, memory_observed: string, required:  (... 7 chars omitted)
      child 0, accelerator_observed: string
      child 1, cpu_cores_observed: string
      child 2, memory_observed: string
      child 3, required: string
  child 2, model: struct<base_model: string, file: string, license: string, repo: string, revision: string, sha256_exp (... 50 chars omitted)
      child 0, base_model: string
      child 1, file: string
      child 2, license: string
      child 3, repo: string
      child 4, revision: string
      child 5, sha256_expected: string
      child 6, sha256_loaded: string
      child 7, size: int64
  child 3, receipt_boundary: struct<covers: string, does_not_cover: list<item: string>, evidence: struct<eval_canonical_sha256: s (... 90 chars omitted)
      child 0, covers: string
      child 1, does_not_cover: list<item: string>
          child 0, item: string
      child 2, evidence: struct<eval_canonical_sha256: string, key_id: string, status: string, training_canonical_sha256: str (... 4 chars omitted)
          child 0, eval_canonical_sha256: string
          child 1, key_id: string
          child 2, status: string
          child 3, training_canonical_sha256: string
      ch
...
6: string>, README.md (... 361 chars omitted)
      child 0, LICENSE: struct<bytes: int64, expected_sha256: string, pass: bool, sha256: string>
          child 0, bytes: int64
          child 1, expected_sha256: string
          child 2, pass: bool
          child 3, sha256: string
      child 1, README.md: struct<bytes: int64, expected_sha256: string, pass: bool, sha256: string>
          child 0, bytes: int64
          child 1, expected_sha256: string
          child 2, pass: bool
          child 3, sha256: string
      child 2, config.json: struct<bytes: int64, expected_sha256: string, pass: bool, sha256: string>
          child 0, bytes: int64
          child 1, expected_sha256: string
          child 2, pass: bool
          child 3, sha256: string
      child 3, generation_config.json: struct<bytes: int64, expected_sha256: string, pass: bool, sha256: string>
          child 0, bytes: int64
          child 1, expected_sha256: string
          child 2, pass: bool
          child 3, sha256: string
      child 4, tokenizer_config.json: struct<bytes: int64, expected_sha256: string, pass: bool, sha256: string>
          child 0, bytes: int64
          child 1, expected_sha256: string
          child 2, pass: bool
          child 3, sha256: string
  child 2, model_id: string
  child 3, pass: bool
  child 4, python_files: list<item: null>
      child 0, item: null
  child 5, repository_code_executed: bool
  child 6, requested_revision: string
  child 7, resolved_revision: string
to
{'baseline_results': List({'case_id': Value('string'), 'category': Value('string'), 'http_status': Value('int64'), 'latency_ms': Value('float64'), 'ok': Value('bool'), 'request_sha256': Value('string'), 'requested_model': Value('string'), 'response_content': Value('string'), 'response_headers': {'content-type': Value('string'), 'date': Value('string'), 'x-request-id': Value('string')}, 'response_sha256': Value('string'), 'route': Value('string'), 'score': {'answer_match': Value('bool'), 'decision_match': Value('bool'), 'evidence_match': Value('bool'), 'json_valid': Value('bool'), 'max_points': Value('int64'), 'parse_error': Value('string'), 'parsed': {'answer': Value('string'), 'decision': Value('string'), 'evidence_ids': List(Value('string')), 'tool_calls': List(Value('null'))}, 'points': Value('int64'), 'schema_valid': Value('bool'), 'tool_boundary_pass': Value('bool')}, 'usage': {'completion_tokens': Value('int64'), 'prompt_tokens': Value('int64'), 'total_tokens': Value('int64')}}), 'candidate_results': List({'case_id': Value('string'), 'category': Value('string'), 'http_status': Value('int64'), 'latency_ms': Value('float64'), 'ok': Value('bool'), 'request_sha256': Value('string'), 'requested_model': Value('string'), 'response_content': Value('string'), 'response_headers': {'content-type': Value('string'), 'date': Value('string'), 'x-inference-provider': Value('string'), 'x-request-id': Value('string')}, 'response_sha256': Value('string'), 'route': Value('string'), 'score'
...
tity': {'core_sha256': Value('string'), 'provider_module_sha256': Value('string'), 'receipt_module_sha256': Value('string'), 'run_id': Value('string'), 'runner_sha256': Value('string'), 'source_module_sha256': Value('string'), 'source_repository': Value('string'), 'source_revision': Value('string'), 'suite': Value('string')}, 'runtime_engine': Value('string'), 'runtime_version': Value('string'), 'schema': Value('string'), 'seed': Value('string'), 'signature_status': Value('string'), 'violated_invariants': List(Value('null'))}, 'schema': Value('string'), 'source_checks': {'candidate_weights_downloaded': Value('bool'), 'files': {'LICENSE': {'bytes': Value('int64'), 'expected_sha256': Value('string'), 'pass': Value('bool'), 'sha256': Value('string')}, 'README.md': {'bytes': Value('int64'), 'expected_sha256': Value('string'), 'pass': Value('bool'), 'sha256': Value('string')}, 'config.json': {'bytes': Value('int64'), 'expected_sha256': Value('string'), 'pass': Value('bool'), 'sha256': Value('string')}, 'generation_config.json': {'bytes': Value('int64'), 'expected_sha256': Value('string'), 'pass': Value('bool'), 'sha256': Value('string')}, 'tokenizer_config.json': {'bytes': Value('int64'), 'expected_sha256': Value('string'), 'pass': Value('bool'), 'sha256': Value('string')}}, 'model_id': Value('string'), 'pass': Value('bool'), 'python_files': List(Value('null')), 'repository_code_executed': Value('bool'), 'requested_revision': Value('string'), 'resolved_revision': 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
              authenticity_not_established: bool
              baseline_identity: struct<failure_code: null, hardware: struct<accelerator_observed: string, cpu_cores_observed: string (... 1186 chars omitted)
                child 0, failure_code: null
                child 1, hardware: struct<accelerator_observed: string, cpu_cores_observed: string, memory_observed: string, required:  (... 7 chars omitted)
                    child 0, accelerator_observed: string
                    child 1, cpu_cores_observed: string
                    child 2, memory_observed: string
                    child 3, required: string
                child 2, model: struct<base_model: string, file: string, license: string, repo: string, revision: string, sha256_exp (... 50 chars omitted)
                    child 0, base_model: string
                    child 1, file: string
                    child 2, license: string
                    child 3, repo: string
                    child 4, revision: string
                    child 5, sha256_expected: string
                    child 6, sha256_loaded: string
                    child 7, size: int64
                child 3, receipt_boundary: struct<covers: string, does_not_cover: list<item: string>, evidence: struct<eval_canonical_sha256: s (... 90 chars omitted)
                    child 0, covers: string
                    child 1, does_not_cover: list<item: string>
                        child 0, item: string
                    child 2, evidence: struct<eval_canonical_sha256: string, key_id: string, status: string, training_canonical_sha256: str (... 4 chars omitted)
                        child 0, eval_canonical_sha256: string
                        child 1, key_id: string
                        child 2, status: string
                        child 3, training_canonical_sha256: string
                    ch
              ...
              6: string>, README.md (... 361 chars omitted)
                    child 0, LICENSE: struct<bytes: int64, expected_sha256: string, pass: bool, sha256: string>
                        child 0, bytes: int64
                        child 1, expected_sha256: string
                        child 2, pass: bool
                        child 3, sha256: string
                    child 1, README.md: struct<bytes: int64, expected_sha256: string, pass: bool, sha256: string>
                        child 0, bytes: int64
                        child 1, expected_sha256: string
                        child 2, pass: bool
                        child 3, sha256: string
                    child 2, config.json: struct<bytes: int64, expected_sha256: string, pass: bool, sha256: string>
                        child 0, bytes: int64
                        child 1, expected_sha256: string
                        child 2, pass: bool
                        child 3, sha256: string
                    child 3, generation_config.json: struct<bytes: int64, expected_sha256: string, pass: bool, sha256: string>
                        child 0, bytes: int64
                        child 1, expected_sha256: string
                        child 2, pass: bool
                        child 3, sha256: string
                    child 4, tokenizer_config.json: struct<bytes: int64, expected_sha256: string, pass: bool, sha256: string>
                        child 0, bytes: int64
                        child 1, expected_sha256: string
                        child 2, pass: bool
                        child 3, sha256: string
                child 2, model_id: string
                child 3, pass: bool
                child 4, python_files: list<item: null>
                    child 0, item: null
                child 5, repository_code_executed: bool
                child 6, requested_revision: string
                child 7, resolved_revision: string
              to
              {'baseline_results': List({'case_id': Value('string'), 'category': Value('string'), 'http_status': Value('int64'), 'latency_ms': Value('float64'), 'ok': Value('bool'), 'request_sha256': Value('string'), 'requested_model': Value('string'), 'response_content': Value('string'), 'response_headers': {'content-type': Value('string'), 'date': Value('string'), 'x-request-id': Value('string')}, 'response_sha256': Value('string'), 'route': Value('string'), 'score': {'answer_match': Value('bool'), 'decision_match': Value('bool'), 'evidence_match': Value('bool'), 'json_valid': Value('bool'), 'max_points': Value('int64'), 'parse_error': Value('string'), 'parsed': {'answer': Value('string'), 'decision': Value('string'), 'evidence_ids': List(Value('string')), 'tool_calls': List(Value('null'))}, 'points': Value('int64'), 'schema_valid': Value('bool'), 'tool_boundary_pass': Value('bool')}, 'usage': {'completion_tokens': Value('int64'), 'prompt_tokens': Value('int64'), 'total_tokens': Value('int64')}}), 'candidate_results': List({'case_id': Value('string'), 'category': Value('string'), 'http_status': Value('int64'), 'latency_ms': Value('float64'), 'ok': Value('bool'), 'request_sha256': Value('string'), 'requested_model': Value('string'), 'response_content': Value('string'), 'response_headers': {'content-type': Value('string'), 'date': Value('string'), 'x-inference-provider': Value('string'), 'x-request-id': Value('string')}, 'response_sha256': Value('string'), 'route': Value('string'), 'score'
              ...
              tity': {'core_sha256': Value('string'), 'provider_module_sha256': Value('string'), 'receipt_module_sha256': Value('string'), 'run_id': Value('string'), 'runner_sha256': Value('string'), 'source_module_sha256': Value('string'), 'source_repository': Value('string'), 'source_revision': Value('string'), 'suite': Value('string')}, 'runtime_engine': Value('string'), 'runtime_version': Value('string'), 'schema': Value('string'), 'seed': Value('string'), 'signature_status': Value('string'), 'violated_invariants': List(Value('null'))}, 'schema': Value('string'), 'source_checks': {'candidate_weights_downloaded': Value('bool'), 'files': {'LICENSE': {'bytes': Value('int64'), 'expected_sha256': Value('string'), 'pass': Value('bool'), 'sha256': Value('string')}, 'README.md': {'bytes': Value('int64'), 'expected_sha256': Value('string'), 'pass': Value('bool'), 'sha256': Value('string')}, 'config.json': {'bytes': Value('int64'), 'expected_sha256': Value('string'), 'pass': Value('bool'), 'sha256': Value('string')}, 'generation_config.json': {'bytes': Value('int64'), 'expected_sha256': Value('string'), 'pass': Value('bool'), 'sha256': Value('string')}, 'tokenizer_config.json': {'bytes': Value('int64'), 'expected_sha256': Value('string'), 'pass': Value('bool'), 'sha256': Value('string')}}, 'model_id': Value('string'), 'pass': Value('bool'), 'python_files': List(Value('null')), 'repository_code_executed': Value('bool'), 'requested_revision': Value('string'), 'resolved_revision': Value('string')}}
              because column names don't match

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Checkable language-model evaluation records

We publish the inputs, measured responses, scoring results and file hashes from small language-model evaluations. These records help readers inspect what was tested and check whether files changed.

Start with a real-data example: public single-cell calculation. It summarizes all 3,072 submitted cell columns from GEO GSE85241 with four source donor labels retained. Two calculations produced identical summary bytes; changed output and receipt-payload controls were rejected against the retained reference. This separate example performs no gene signature scoring or biological inference.

Inspect the run published with this card

This run includes 4 synthetic public test cases per model. The full suite has four cases covering a supported answer, an unsupported question, an approval boundary and bounded arithmetic; the shorter smoke suite uses two. Calls go to a candidate model and a live baseline. These are language-model checks, not biological data or a broad benchmark. Scores describe only the recorded cases and do not establish method superiority.

What the records establish

The records identify source files and bind measured responses and results with SHA-256 hashes. They are unsigned: hashes detect changes against a retained reference, but do not authenticate an author or prevent replacement of every file and hash together. The provider's executed weight revision, server hardware and runtime build are not attested. Language-model responses are not promised to repeat byte for byte.

If a required check cannot run or fails, the evaluation is reported as incomplete. A completed evaluation still requires review and does not authorize production use. No biological findings, clinical validity, safety certification or superiority over AUCell, UCell or Seurat is claimed.

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The workflow publishes after evaluation-related changes reach main, on Sundays at 06:17 UTC, and on manual runs with publication enabled. Pull-request checks do not publish. The card and finalized evidence files are committed together; publication errors are reported as failures. Each run has a unique directory, and previous run files are not overwritten by this publisher.

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