Datasets:

WINGNUS
/

ACL-OCL

	---
	annotations_creators: []
	language:
	- en
	language_creators:
	- found
	license:
	- mit
	multilinguality:
	- monolingual
	paperswithcode_id: acronym-identification
	pretty_name: acl-ocl-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

	[![License](https://img.shields.io/badge/License-CC%20BY--NC%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc-sa/4.0/)

	This repository provides full-text and metadata to the ACL anthology collection (80k articles/posters as of September 2022) also including .pdf files and grobid extractions of the pdfs.

	## How is this different from what ACL anthology provides and what already exists?

	- We provide pdfs, full-text, references and other details extracted by grobid from the PDFs while [ACL Anthology](https://aclanthology.org/anthology+abstracts.bib.gz) only provides abstracts.
	- There exists a similar corpus call [ACL Anthology Network](https://clair.eecs.umich.edu/aan/about.php) but is now showing its age with just 23k papers from Dec 2016.


	```python
	>>> import pandas as pd
	>>> df = pd.read_parquet('acl-publication-info.74k.parquet')
	>>> df
	acl_id abstract full_text corpus_paper_id pdf_hash ... number volume journal editor isbn
	0 O02-2002 There is a need to measure word similarity whe... There is a need to measure word similarity whe... 18022704 0b09178ac8d17a92f16140365363d8df88c757d0 ... None None None None None
	1 L02-1310 8220988 8d5e31610bc82c2abc86bc20ceba684c97e66024 ... None None None None None
	2 R13-1042 Thread disentanglement is the task of separati... Thread disentanglement is the task of separati... 16703040 3eb736b17a5acb583b9a9bd99837427753632cdb ... None None None None None
	3 W05-0819 In this paper, we describe a word alignment al... In this paper, we describe a word alignment al... 1215281 b20450f67116e59d1348fc472cfc09f96e348f55 ... None None None None None
	4 L02-1309 18078432 011e943b64a78dadc3440674419821ee080f0de3 ... None None None None None
	... ... ... ... ... ... ... ... ... ... ... ...
	73280 P99-1002 This paper describes recent progress and the a... This paper describes recent progress and the a... 715160 ab17a01f142124744c6ae425f8a23011366ec3ee ... None None None None None
	73281 P00-1009 We present an LFG-DOP parser which uses fragme... We present an LFG-DOP parser which uses fragme... 1356246 ad005b3fd0c867667118482227e31d9378229751 ... None None None None None
	73282 P99-1056 The processes through which readers evoke ment... The processes through which readers evoke ment... 7277828 924cf7a4836ebfc20ee094c30e61b949be049fb6 ... None None None None None
	73283 P99-1051 This paper examines the extent to which verb d... This paper examines the extent to which verb d... 1829043 6b1f6f28ee36de69e8afac39461ee1158cd4d49a ... None None None None None
	73284 P00-1013 Spoken dialogue managers have benefited from u... Spoken dialogue managers have benefited from u... 10903652 483c818c09e39d9da47103fbf2da8aaa7acacf01 ... None None None None None

	[73285 rows x 21 columns]
	```



	## 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: [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

	## 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 papers in ACL anthology - as of September'22

	### Source Data

	- [ACL Anthology](aclanthology.org)
	- [Semantic Scholar](semanticscholar.org)

	# Additional Information

	### Licensing Information

	The ACL OCL 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-ocl,
	author = {Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan, Min-Yen Kan},
	title = {The ACL OCL Corpus: advancing Open science in Computational Linguistics},
	howpublished = {arXiv},
	year = {2022},
	url = {https://huggingface.co/datasets/ACL-OCL/ACL-OCL-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), [Yanxia Qin](https://github.com/qolina) and [Benjamin Aw](https://github.com/Benjamin-Aw-93) for adding this dataset.