README.md

metadata

language:
  - en
license: cc-by-nc-sa-4.0
size_categories:
  - 1K<n<10K
task_categories:
  - text-classification
pretty_name: PubChem & Wikipedia Paragraphs Pair Classification
tags:
  - chemistry
  - pubchem
  - wikipedia
  - chemteb
dataset_info:
  features:
    - name: sent1
      dtype: string
    - name: sent2
      dtype: string
    - name: labels
      dtype: int64
  splits:
    - name: test
      num_bytes: 1407915
      num_examples: 2048
  download_size: 739062
  dataset_size: 1407915
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*

PubChem & Wikipedia Paragraphs Pair Classification

This dataset is for Pair Classification and has three columns: sent1, sent2, and a binary column labels. The labels is 1 when sent1 and sent2 describe the same entity and 0 when they describe two different entities. The dataset consists of 2048 pairs sourced from PubChem (LOTUS and ChEBI sources) and English Wikipedia (article summary) with a 90-10% negative-positive ratio.