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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
anchor_id: string
split: string
weak_evidence: list<item: string>
  child 0, item: string
no_interaction: list<item: string>
  child 0, item: string
positive_records: int64
records_dropped: int64
records_kept: int64
pool_rows_dropped: int64
V_size: int64
schema_version: int64
pool_member_entries_removed: int64
base_pools_sha256: string
sha256s: struct<negative_pools_validation.jsonl: string, validation.jsonl: string, validation_positive.jsonl: (... 8 chars omitted)
  child 0, negative_pools_validation.jsonl: string
  child 1, validation.jsonl: string
  child 2, validation_positive.jsonl: string
base_validation_sha256: string
pool_rows: int64
target_table_sha256: string
to
{'V_size': Value('int64'), 'base_pools_sha256': Value('string'), 'base_validation_sha256': Value('string'), 'pool_member_entries_removed': Value('int64'), 'pool_rows': Value('int64'), 'pool_rows_dropped': Value('int64'), 'positive_records': Value('int64'), 'records_dropped': Value('int64'), 'records_kept': Value('int64'), 'schema_version': Value('int64'), 'sha256s': {'negative_pools_validation.jsonl': Value('string'), 'validation.jsonl': Value('string'), 'validation_positive.jsonl': Value('string')}, 'target_table_sha256': 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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
              anchor_id: string
              split: string
              weak_evidence: list<item: string>
                child 0, item: string
              no_interaction: list<item: string>
                child 0, item: string
              positive_records: int64
              records_dropped: int64
              records_kept: int64
              pool_rows_dropped: int64
              V_size: int64
              schema_version: int64
              pool_member_entries_removed: int64
              base_pools_sha256: string
              sha256s: struct<negative_pools_validation.jsonl: string, validation.jsonl: string, validation_positive.jsonl: (... 8 chars omitted)
                child 0, negative_pools_validation.jsonl: string
                child 1, validation.jsonl: string
                child 2, validation_positive.jsonl: string
              base_validation_sha256: string
              pool_rows: int64
              target_table_sha256: string
              to
              {'V_size': Value('int64'), 'base_pools_sha256': Value('string'), 'base_validation_sha256': Value('string'), 'pool_member_entries_removed': Value('int64'), 'pool_rows': Value('int64'), 'pool_rows_dropped': Value('int64'), 'positive_records': Value('int64'), 'records_dropped': Value('int64'), 'records_kept': Value('int64'), 'schema_version': Value('int64'), 'sha256s': {'negative_pools_validation.jsonl': Value('string'), 'validation.jsonl': Value('string'), 'validation_positive.jsonl': Value('string')}, 'target_table_sha256': Value('string')}
              because column names don't match

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CDCL research data

This repository contains the fixed data snapshots used by the CDCL GO/PPI and TREC Clinical Trials experiments. Paths are preserved relative to the CDCL code repository root so a downloaded snapshot can be copied into a code checkout. These are research datasets, not clinical decision-support resources.

Contents

  • dataset/go_ppi/: STRING v12.0 human protein files, the GO ontology (go-basic.obo, release 2026-07-26), human GO annotations (goa_human.gaf.gz, generated 2026-05-21), and independent HuRI/Lit-BM data.
  • preprocess/go_ppi/, preprocess/go_ppi_splits/, and preprocess/go_ppi_lc/: converted protein/pair views, GO indexes, the fixed protein-disjoint splits and negative pools, and learning-curve fractions.
  • trec-clinical-trials/raw/: the five-part April 27, 2021 ClinicalTrials.gov corpus snapshot distributed for the TREC Clinical Trials track, 2021/2022 topics and relevance judgments, and the 2021 MeSH descriptor file ontology/desc2021.gz.
  • preprocess/trec_ct/, preprocess/trec_ct_splits/, preprocess/trec_ct_lc/, and preprocess/trec_ct_budget/: converted records, fixed splits, negative pools, learning-curve fractions, and budget arms.
  • embedding_cache/: reusable text-embedding caches and the 2021 MeSH index. These are accelerators; the raw ontology and dataset files are the sources.

The TREC patient topics are synthetic case descriptions, not real EHRs. Maintain the published train/validation/test boundaries when running experiments.

Source attribution and reuse

This repository combines materials with different terms; no single license applies to every file.

For reproducibility, keep the dated ontology/corpus snapshots rather than silently replacing them with newer downloads. The included split manifests record counts, seeds, and source hashes.

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