Hugging Face's logo

Datasets:
ThakrePranjal
/
pharma-domain-corpus

Languages:
English
Tags:
pharma
domain-adaptive-pretraining
causal-lm
Dataset card Files
xet
 Community
Dataset Viewer
Duplicate
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
page: int64
text: string
char_count: int64
source_page: int64
paragraph_id: int64
to
{'text': Value('string'), 'source_page': Value('int64'), 'paragraph_id': Value('int64'), 'char_count': Value('int64')}
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
              page: int64
              text: string
              char_count: int64
              source_page: int64
              paragraph_id: int64
              to
              {'text': Value('string'), 'source_page': Value('int64'), 'paragraph_id': Value('int64'), 'char_count': Value('int64')}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Pharma Domain Corpus

This dataset contains text extracted from pharmaceutical PDF sources, used for domain-adaptive continued pretraining of a causal language model (TinyLlama).

Files

  • pdf_pages_raw.jsonl — raw text extracted page-by-page from source PDF(s), before any cleaning.
  • pharma_paragraph_process.jsonl — cleaned and paragraph-split version of the raw text, used directly for tokenization and training.

Processing pipeline

  1. Extract raw text from PDF pages.
  2. Clean text (remove boilerplate, fix whitespace/encoding issues).
  3. Split into paragraphs for packing into fixed-length training sequences.

Intended use

Domain-adaptive continued pretraining (non-instruction causal LM fine-tuning) for pharmaceutical-domain language modeling. Not intended as a QA/instruction dataset (see companion instruction-tuning notebook for that use case).

Source

Extracted from pharmaceutical reference PDF(s), e.g. Metformin-Lipid-Therapy-Knowledge.pdf.
Downloads last month
25
Total file size:
35.8 kB

Models trained or fine-tuned on ThakrePranjal/pharma-domain-corpus