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---
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 |