OAGS Title Generation Dataset
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/).
This dataset can be download from LINDAT/CLARIN repository
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 Inter . . .