https://repository.wellesley.edu/wcnews/1232/thumbnail.jp

Wellesley College

English

OAGSX is a title generation dataset consisting of 34408509 abstracts and titles from scientific articles. The 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 license. 

This data (OAGSX Title Generation Dataset) is released under CC-BY license (https://creativecommons.org/licenses/by/4.0/).

If using it, please consider citing also the following paper:

Çano Erion, Bojar Ondřej. Two Huge Title and Keyword Generation Corpora of Research Articles.
LREC 2020, Proceedings of the the 12th International Conference on Language Resources and Evaluation,
Marseille, France, May 2020

Çano, Erion

LINDAT-CLARIN repository

OAGSX Title Generation Dataset

The Wellesley News (04-17-1969)

LINDAT/CLARIN digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University

https://repository.wellesley.edu/cgi/viewcontent.cgi?article=1232&amp;context=wcnews

The Wellesley News (04-17-1969)

Abstract

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LINDAT-CLARIN repository

Wellesley College

LINDAT/CLARIN digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University