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---
dataset_info:
  features:
  - name: sent1
    dtype: string
  - name: sent2
    dtype: string
  - name: labels
    dtype: int64
  splits:
  - name: test
    num_bytes: 288673
    num_examples: 228
  download_size: 119050
  dataset_size: 288673
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
license: cc-by-nc-sa-4.0
language:
- en
- hi
task_categories:
- text-classification
tags:
- chemistry
- chemteb
- pubchem
- wikipedia
pretty_name: PubChem & Wikipedia English-Hindi Paragraph Pair Classification
size_categories:
- n<1K
---
# PubChem & Wikipedia English-Hindi Paragraph Pair Classification
This dataset is a multilingual extension of the [PubChem & Wikipedia Paragraphs Pair Classification](https://huggingface.co/datasets/BASF-AI/PubChemWikiParagraphsPC) dataset. It includes pairs of paragraphs in English and Hindi (sent1 and sent2) with a binary labels column indicating whether the paragraphs describe the same entity (1) or different entities (0).