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README.md
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features:
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- name: text
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dtype: string
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- name: embed
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sequence: float64
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splits:
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- name: train
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num_bytes:
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num_examples:
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download_size:
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dataset_size:
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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features:
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- name: text
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dtype: string
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splits:
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- name: train
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num_bytes: 24317303773
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num_examples: 520535
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download_size: 12927183654
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dataset_size: 24317303773
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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license: cc
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pretty_name: PubMed Central (PMC) Open Access in Markdown
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---
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# PubMed Central (PMC) Open Access in Markdown (With Embeddings)
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This is a subset of [casperhansen/pmc-oa-markdown](https://huggingface.co/datasets/casperhansen/pmc-oa-markdown) with embeddings generated.
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Cost to generate: 7 hours of 8xH100 (about $100).
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Details:
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- Embeddings are created with [Qwen3-Embedding-4B](https://huggingface.co/Qwen/Qwen3-Embedding-4B)
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- Embeddings have a dimension of 2048
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- These are full-text embeddings of the entire text
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- A few thousand examples were discarded that were longer than 32k tokens
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