README.md

metadata

annotations_creators: []
language:
  - en
language_creators:
  - found
license:
  - mit
multilinguality:
  - monolingual
paperswithcode_id: acronym-identification
pretty_name: acl-anthology-corpus
size_categories:
  - 10K<n<100K
source_datasets:
  - original
tags:
  - research papers
  - acl
task_categories:
  - token-classification
task_ids: []
train-eval-index:
  - col_mapping:
      labels: tags
      tokens: tokens
    config: default
    splits:
      eval_split: test
    task: token-classification
    task_id: entity_extraction

Dataset Card for ACL Anthology Corpus

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
• Dataset Creation
  • Source Data
• Additional Information
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Repository: https://github.com/shauryr/ACL-anthology-corpus
• Point of Contact: [email protected]

Dataset Summary

Dataframe with extracted metadata (table below with details) and full text of the collection for analysis : size 489M

Languages

en, zh and others (TODO: find the languages in ACL)

Dataset Structure

Dataframe

Data Instances

Each row is a paper from ACL anthology

Data Fields

Column name	Description
acl_id	unique ACL id
abstract	abstract extracted by GROBID
full_text	full text extracted by GROBID
corpus_paper_id	Semantic Scholar ID
pdf_hash	sha1 hash of the pdf
numcitedby	number of citations from S2
url	link of publication
publisher	-
address	Address of conference
year	-
month	-
booktitle	-
author	list of authors
title	title of paper
pages	-
doi	-
number	-
volume	-
journal	-
editor	-
isbn	-

Dataset Creation

The corpus has all the paper in ACL anthology - as of September'22

Source Data

• ACL Anthology
• Semantic Scholar

Additional Information

Licensing Information

ACL anthology corpus is released under the CC BY-NC 4.0. By using this corpus, you are agreeing to its usage terms.

Citation Information

If you use this corpus in your research please use the following BibTeX entry:

@Misc{acl_anthology_corpus,
    author =       {Shaurya Rohatgi},
    title =        {ACL Anthology Corpus with Full Text},
    howpublished = {Github},
    year =         {2022},
    url =          {https://github.com/shauryr/ACL-anthology-corpus}
}

Acknowledgements

We thank Semantic Scholar for providing access to the citation related data in this corpus.

Contributions

Thanks to @shauryr and Yanxia Qin for adding this dataset.