---
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`](https://huggingface.co/datasets/armanc/pubmed-rct20k).
The only differences are

1. Addition of a unique identifier, `uid`
   
1. 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`

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