PubChemWikiZHPC / README.md
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---
dataset_info:
features:
- name: sent1
dtype: string
- name: sent2
dtype: string
- name: labels
dtype: int64
splits:
- name: test
num_bytes: 1054930
num_examples: 1442
download_size: 622145
dataset_size: 1054930
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
license: cc-by-nc-sa-4.0
language:
- en
- zh
task_categories:
- text-classification
tags:
- chemistry
- wikipedia
- chemteb
- pubchem
pretty_name: PubChem & Wikipedia English-Chinese Paragraph Pair Classification
size_categories:
- 1K<n<10K
---
# PubChem & Wikipedia English-Chinese 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 Chinese (sent1 and sent2) with a binary labels column indicating whether the paragraphs describe the same entity (1) or different entities (0).