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--- |
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dataset_info: |
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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: 34325117835 |
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num_examples: 516317 |
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download_size: 18652745837 |
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dataset_size: 34325117835 |
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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 2560 |
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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 |
