---
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](https://huggingface.co/datasets/casperhansen/pmc-oa-markdown) with embeddings generated.

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

Details:
- Embeddings are created with [Qwen3-Embedding-4B](https://huggingface.co/Qwen/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