Datasets:

golden-retrievers
/

hsa-literature

Error code:   FeaturesError
Exception:    FileNotFoundError
Message:      [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7fe2000d8b90>'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  yield from 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/xml/xml.py", line 67, in _generate_tables
                  with open(file, encoding=self.config.encoding, errors=self.config.encoding_errors) as f:
                       ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/streaming.py", line 73, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 967, in xopen
                  return open(main_hop, mode, *args, **kwargs)
              FileNotFoundError: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7fe2000d8b90>'

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Canine Hemangiosarcoma Literature Corpus

A structured corpus of the canine hemangiosarcoma (HSA) literature (with related angiosarcoma papers included for completeness), assembled for the golden-retrievers effort to understand HSA, the deadliest cancer in golden retrievers. Built with the open code in gr-hemangiosarcoma.

File	What
`hsa_papers.jsonl`	4,485 unique papers (Europe PMC). One JSON record per line: `pmid`, `pmcid`, `doi`, `title`, `authors`, `year`, `journal`, `abstract`, `mesh`, `is_oa`, `theme`, `verified`, `license`.
`hsa_papers.bib`	BibTeX for the same records.
`fulltext_ccby/`	1,444 open-access full-text JATS XML files, restricted to redistributable licenses (CC-BY 1,286 + CC0 158).

Provenance & method

Source: Europe PMC REST API (includes PubMed + PMC), queried for canine HSA and canine/comparative angiosarcoma. No API key.
Each record is tagged with a coarse theme (epidemiology / genetics / subtypes / treatment / detection / translational) and a verified flag for the citations that passed a two-pass adversarial literature review.
Regenerate: python scripts/fetch_literature.py then python scripts/build_corpus.py (the latter detects each article's Creative Commons license and selects the redistributable full-text subset).

Licensing

Metadata + abstracts are factual bibliographic data aggregated from Europe PMC.
fulltext_ccby/ contains only CC0 / CC-BY articles; each file retains its upstream license (see the article's own <permissions>). Non-redistributable open-access full text (CC-BY-NC, CC-BY-ND, unknown) is deliberately excluded and kept private; retrieve it yourself via the linked code if licensed for your use.
The card-level cc-by-4.0 tag reflects the dominant full-text license; mixed as above.

Not veterinary advice. Research use.

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Total file size:

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Canine Hemangiosarcoma Literature Corpus

Contents

Provenance & method

Licensing

Not veterinary advice. Research use.