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metadata
dataset_info:
  features:
    - name: text
      dtype: string
    - name: embed
      sequence: float64
  splits:
    - name: train
      num_bytes: 34325117835
      num_examples: 516317
  download_size: 18652745837
  dataset_size: 34325117835
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc
pretty_name: PubMed Central (PMC) Open Access in Markdown

PubMed Central (PMC) Open Access in Markdown (With Embeddings)

This is a subset of casperhansen/pmc-oa-markdown with embeddings generated.

Cost to generate: 7 hours of 8xH100 (about $100).

Details:

  • Embeddings are created with Qwen3-Embedding-4B
  • Embeddings have a dimension of 2560
  • These are full-text embeddings of the entire text
  • A few thousand examples were discarded that were longer than 32k tokens