README.md

metadata

task_categories:
  - text-classification
language:
  - en
dataset_info:
  features:
    - name: abstract_id
      dtype: string
    - name: labels
      dtype:
        class_label:
          names:
            '0': background
            '1': conclusions
            '2': methods
            '3': objective
            '4': results
    - name: text
      dtype: string
    - name: sentence_id
      dtype: int64
    - name: uid
      dtype: int64
    - name: embedding_all-mpnet-base-v2
      sequence: float32
    - name: embedding_multi-qa-mpnet-base-dot-v1
      sequence: float32
    - name: embedding_all-MiniLM-L12-v2
      sequence: float32
  splits:
    - name: train
      num_bytes: 1392522399
      num_examples: 176642
    - name: validation
      num_bytes: 233905609
      num_examples: 29672
    - name: test
      num_bytes: 233146005
      num_examples: 29578
  download_size: 0
  dataset_size: 1859574013

This is the same dataset as armanc/pubmed-rct20k. The only differences are

1. Addition of a unique identifier, uid

2. Addition of the indices, that is 3 columns with the embeddings of 3 different sentence-transformers

   • all-mpnet-base-v2
   • multi-qa-mpnet-base-dot-v1
   • all-MiniLM-L12-v2

3. Renaming of the label column to labels for easier compatibility with the transformers library