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this_month_in_rheumatology

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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
date: timestamp[s]
content: string
paper_count: int64
generated_at: string
vs
PMID: string
Title: string
Authors: string
Journal: string
Abstract: string
Publication_Date: string
Publication_Types: string
Summary: string
Topic: string
Relevance_Score: int64
Summary_Text_Source: string
Full_Text_Available: bool
Full_Text: string
processed_date: string
search_date_start: string
search_date_end: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 237, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              date: timestamp[s]
              content: string
              paper_count: int64
              generated_at: string
              vs
              PMID: string
              Title: string
              Authors: string
              Journal: string
              Abstract: string
              Publication_Date: string
              Publication_Types: string
              Summary: string
              Topic: string
              Relevance_Score: int64
              Summary_Text_Source: string
              Full_Text_Available: bool
              Full_Text: string
              processed_date: string
              search_date_start: string
              search_date_end: string

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This Month in Rheumatology

A monthly collection of relevant rheumatology papers, automatically generated from PubMed searches.

Contents

Each month's newsletter is stored in a dated directory (YYYYMM) containing:

  • newsletter.json - Newsletter content in JSON format
  • newsletter.pdf - PDF version for reading
  • newsletter.epub - EPUB version for e-readers
  • papers.jsonl - Raw paper data used to generate the newsletter

Generation Process

The newsletter is generated through:

  1. Automated PubMed search using curated search terms
  2. AI-powered relevance evaluation of abstracts
  3. Categorization and summarization of relevant papers
  4. Multi-format output generation

Topics Covered

  • Rheumatoid Arthritis
  • Systemic Lupus Erythematosus
  • Scleroderma
  • Sjogren's Disease
  • Ankylosing Spondylitis
  • Psoriatic Arthritis
  • Gout
  • Vasculitis
  • Osteoarthritis
  • And other rheumatic diseases

Generated with ❤️ for the rheumatology community.

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