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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
prompt: string
chosen: string
rejected: string
source_page: int64
topic: string
input: string
output: string
instruction: string
to
{'instruction': Value('string'), 'input': Value('string'), 'output': Value('string'), 'source_page': Value('int64'), 'topic': 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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 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
              prompt: string
              chosen: string
              rejected: string
              source_page: int64
              topic: string
              input: string
              output: string
              instruction: string
              to
              {'instruction': Value('string'), 'input': Value('string'), 'output': Value('string'), 'source_page': Value('int64'), 'topic': Value('string')}
              because column names don't match

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configs:
- config_name: raw
data_files: raw/pharma_paragraph_process.jsonl
- config_name: instruction
data_files: instruction/pharma_instruction_dataset.jsonl
- config_name: preference
data_files: preference/pharma_preference_dataset.jsonl

Pharma Fine-Tuning Data

Three datasets used across the 3-stage fine-tuning pipeline in llm-finetuning-playbook:

  • raw: cleaned paragraphs extracted from the pharma PDF (Stage 1 — continued pretraining)
  • instruction: instruction/response pairs (Stage 2 — SFT)
  • preference: prompt/chosen/rejected triples (Stage 3 — DPO)

Source corpus: Metformin pharmacology, statin/ezetimibe lipid-lowering therapy, mRNA vaccines, AI in drug discovery, clinical trials & pharmacovigilance.

Educational project — not medical advice.

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