---
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](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
- [Dataset Creation](#dataset-creation)
  - [Source Data](#source-data)
- [Additional Information](#additional-information)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Repository:** https://github.com/shauryr/ACL-anthology-corpus
- **Point of Contact:** shauryr@gmail.com

### 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](aclanthology.org)
- [Semantic Scholar](semanticscholar.org)

# Additional Information

### Licensing Information

ACL anthology corpus is released under the [CC BY-NC 4.0](https://creativecommons.org/licenses/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](https://github.com/shauryr) and [Yanxia Qin](https://github.com/qolina) for adding this dataset.