metadata

annotations_creators:
  - no-annotation
language:
  - zh
language_creators:
  - found
license:
  - apache-2.0
pretty_name: CSL
size_categories:
  - 1M<n<10M
source_datasets:
  - extended|csl
tags: []
task_categories:
  - text-retrieval
task_ids:
  - document-retrieval

Dataset Card for CSL

Dataset Description

CSL is the Chinese Scientific Literature Dataset.

Paper: https://aclanthology.org/2022.coling-1.344
Repository: https://github.com/ydli-ai/CSL

Dataset Summary

The dataset contains titles, abstracts, keywords of papers written in Chinese from several academic fields.

Languages

Chinese

Dataset Structure

Data Instances

Split	Documents
`csl`	396k

Data Fields

doc_id: unique identifier for this document
title: title of the paper
abstract: abstract of the paper
keywords: keywords associated with the paper
category: English translaction of the broad category (e.g., Engineering)
category_zho: the broad category of the paper
discipline: English translation of the academic discipline (e.g., Agricultural Engineering)
discipline_zho: academic discipline of the paper

Dataset Usage

Using 🤗 Datasets:

from datasets import load_dataset

dataset = load_dataset('neuclir/csl')['csl']

License & Citation

This dataset is based off the Chinese Scientific Literature Dataset under Apache 2.0. The primay change is the addition of English translactions of the category and discipline descriptions by a native speaker.

If you use this data, please cite:

@inproceedings{li-etal-2022-csl,
    title = "{CSL}: A Large-scale {C}hinese Scientific Literature Dataset",
    author = "Li, Yudong  and
      Zhang, Yuqing  and
      Zhao, Zhe  and
      Shen, Linlin  and
      Liu, Weijie  and
      Mao, Weiquan  and
      Zhang, Hui",
    booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "International Committee on Computational Linguistics",
    url = "https://aclanthology.org/2022.coling-1.344",
    pages = "3917--3923",
}