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- ---
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- dataset_info:
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- features:
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- - name: abstract_id
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- dtype: string
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- - name: labels
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- dtype:
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- class_label:
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- names:
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- '0': background
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- '1': conclusions
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- '2': methods
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- '3': objective
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- '4': results
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- - name: text
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- dtype: string
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- - name: sentence_id
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- dtype: int64
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- - name: uid
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- dtype: int64
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- - name: embedding_all-mpnet-base-v2
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- sequence: float32
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- - name: embedding_multi-qa-mpnet-base-dot-v1
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- sequence: float32
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- - name: embedding_all-MiniLM-L12-v2
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- sequence: float32
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- splits:
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- - name: train
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- num_bytes: 1392522399
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- num_examples: 176642
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- - name: validation
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- num_bytes: 233905609
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- num_examples: 29672
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- - name: test
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- num_bytes: 233146005
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- num_examples: 29578
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- download_size: 2276732018
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- dataset_size: 1859574013
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- ---
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- # Dataset Card for "pubmed-rct20k_indexed"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
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+ This is the same dataset as [`armanc/pubmed-rct20k`](https://huggingface.co/datasets/armanc/pubmed-rct20k).
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+ The only differences are
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ 1. Addition of a unique identifier, `uid`
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+
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+ 1. Addition of the indices, that is 3 columns with the embeddings of 3 different sentence-transformers
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+ - `all-mpnet-base-v2`
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+ - `multi-qa-mpnet-base-dot-v1`
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+ - `all-MiniLM-L12-v2`
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+
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+ 1. Renaming of the `label` column to `labels` for easier compatibility with the transformers library