OLAC Record
oai:lindat.mff.cuni.cz:11234/1-3043

Metadata
Title:OAGS Title Generation Dataset
Bibliographic Citation:http://hdl.handle.net/11234/1-3043
Creator:Çano, Erion
Date (W3CDTF):2019-09-12T10:47:34Z
Date Available:2019-09-12T10:47:34Z
Description:OAGS is a title generation dataset consisting of 34993700 abstracts and titles 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. The data is derived from OAG data collection (https://aminer.org/open-academic-graph) which was released under ODC-BY licence. This data (OAGS Title 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, "Efficiency Metrics for Data-Driven Models: A Text Summarization Case Study", INLG 2019, The 12th International Conference on Natural Language Generation, November 2019, Tokyo, Japan. To reproduce the experiments in the above paper, you can use oags_train1.txt, oags_train2.txt, oags_train3.txt, oags_test.txt and oags_val.txt files. If you need more data samples you can get them from oags_train_backup.txt and oags_val-test_backup.txt.
Identifier (URI):http://hdl.handle.net/11234/1-3043
Is Replaced By (URI):http://hdl.handle.net/11234/1-3079
Language:English
Language (ISO639):eng
Publisher:Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Rights:Creative Commons - Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/4.0/
Subject:Title Generation Dataset
Abstractive Text Summarization
Scientific Papers Corpus
Type:corpus
Type (DCMI):Text
Type (OLAC):primary_text

OLAC Info

Archive:  LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
Description:  http://www.language-archives.org/archive/lindat.mff.cuni.cz
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:lindat.mff.cuni.cz:11234/1-3043
DateStamp:  2021-06-29
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Çano, Erion. 2019. Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL).
Terms: area_Europe country_GB dcmi_Text iso639_eng olac_primary_text


http://www.language-archives.org/item.php/oai:lindat.mff.cuni.cz:11234/1-3043
Up-to-date as of: Thu Oct 5 0:41:00 EDT 2023