OAGK Keyword Generation Dataset

Name: OAGK Keyword Generation Dataset
License: http://creativecommons.org/licenses/by/4.0/

Çano, Erion

OAGK Keyword Generation Dataset

LINDAT / CLARIAH-CZ

Autoři: Çano, Erion

Identifikátor: http://hdl.handle.net/11234/1-2943

Odkaz na záznam v: https://www.aclweb.org/anthology/N19-1070

Datum vydání: 2019-04

Typ: corpus, text

Velikost: 2200000 entries, 3 files, 3.24 gb

Jazyky: English

Popis: OAGK is a keyword extraction/generation dataset consisting of 2.2 million abstracts, titles and keyword strings from cientific articles. Texts were lowercased and tokenized with Stanford CoreNLP tokenizer. No other preprocessing steps were applied in this release version. Dataset records (samples) are stored as JSON lines in each text file. This data is derived from OAG data collection (https://aminer.org/open-academic-graph) which was released under ODC-BY licence. This data (OAGK Keyword Generation Dataset) is released under CC-BY licence (https://creativecommons.org/licenses/by/4.0/). If using it, please cite the following paper: Çano, Erion and Bojar, Ondřej, 2019, Keyphrase Generation: A Text Summarization Struggle, 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics, June 2019, Minneapolis, USA

Nakladatel: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

Klíčová slova: keyword extraction supervised keyword generation

Kolekce: LINDAT / CLARIAH-CZ Data & Tools

Tento záznam byl nahrazen novější verzí:

http://hdl.handle.net/11234/1-3062

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Publicly Available

Licence: Creative Commons - Attribution 4.0 International (CC BY 4.0)

Název: README.txt
Velikost: 2.25 KB
Formát: Textový soubor
Popis: readme
MD5: dc3560f8786a522c21ea96c4fc2f5c04

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OAGK Keyword Generation Dataset
===============================

OAGK is a keyword extraction/generation dataset consisting of 2.2 million
abstracts, titles and keyword strings from scientific articles. 
Texts were lowercased and tokenized with Stanford CoreNLP tokenizer. 
No other preprocessing steps were applied in this release version.
Dataset records (samples) are stored as JSON lines in each text file. 

This data is derived from OAG data collection 
(https://aminer.org/open-academic-graph) which was released under 
ODC-BY licence. 

This data (OAGK Keyword Generation Dataset) is released under CC-BY licence 
(https://creativecommons.org/licenses/by/4.0/).


Download
--------

This dataset can be download from LINDAT/CLARIN repository
http://hdl.handle.net/11234/1-2943


Publications
------------

If using it, please cite the following paper:

Çano, Erion and Bojar, Ondřej, 2019, Keyphrase Generation: A Text 
Summarization Struggle, 2019 Annual Conf . . .

Název: OAGK.zip
Velikost: 1.01 GB
Formát: application/zip
Popis: data
MD5: 92b0d028cde15184add0981349baccb4

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Náhled souboru

OAGK
- oagk_train.txt2 GB
- oagk_val.txt141 MB
- oagk_test.txt239 MB