Datasets:

philgear
/

pocketgull-clinical-instruction-corpus

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
systemPrompt: string
instruction: string
input: string
output: string
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
to
{'messages': List({'role': Value('string'), 'content': 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
              systemPrompt: string
              instruction: string
              input: string
              output: string
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              to
              {'messages': List({'role': Value('string'), 'content': Value('string')})}
              because column names don't match

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📚 PocketGull Multi-Paradigm Clinical Instruction Corpus

Organization: PocketGull LLC (Oregon SOS: 258869891)
Curator: Phillip Gear (CMS NPI: 1487569752 | ORCID: 0009-0008-1372-5381)
License: Creative Commons Attribution 4.0 International (CC-BY-4.0)
Open Science DOI: 10.5281/zenodo.20647514

📌 Dataset Summary

Multi-turn clinical SFT training instructions spanning stepped-care triage, ambient SOAP scribing, pharmacogenomics CYP450 interactions, and Calgary-Cambridge intake.

Key Features:

Level A/B Evidence: Grounded directly in official NIH (NLM, NHLBI, NIDDK, NINDS, Cancer.gov) and WHO (mhGAP, Essential Medicines) publications.
ISMP Decimal Safety: 100% compliant with Institute for Safe Medication Practices standards (zero trailing zeros 5.0 mg -> 5 mg, mandatory leading zeros .5 mg -> 0.5 mg).
HIPAA §164.514 Safe Harbor: Cleaned and verified with zero protected health information (PHI) or personal identifiers.
3-Act Temporal Architecture: Formatted with Where You've Been, Where You Stand Today, and Where You're Going clinical trajectories.

🚀 Loading the Dataset with Hugging Face Datasets

from datasets import load_dataset

# Load directly into Python
dataset = load_dataset("philgear/pocketgull-clinical-instruction-corpus")
print(dataset)

📖 Citation

@dataset{pocketgull_pocketgull_clinical_instruction_corpus_2026,
  author = {Gear, Phillip},
  title = {PocketGull Multi-Paradigm Clinical Instruction Corpus},
  publisher = {Hugging Face},
  year = {2026},
  url = {https://huggingface.co/datasets/philgear/pocketgull-clinical-instruction-corpus}
}

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