| Dataset | |
| The SAMSum dataset contains about 16k messenger-like conversations with summaries. Conversations were created and written down by linguists fluent in English. Linguists were asked to create conversations similar to those they write on a daily basis, reflecting the proportion of topics of their real-life messenger convesations. The style and register are diversified - conversations could be informal, semi-formal or formal, they may contain slang words, emoticons and typos. Then, the conversations were annotated with summaries. It was assumed that summaries should be a concise brief of what people talked about in the conversation in third person. | |
| The SAMSum dataset was prepared by Samsung R&D Institute Poland and is distributed for research purposes (non-commercial licence: CC BY-NC-ND 4.0). | |
| Paper | |
| The dataset and experiments performed using it were described in paper: "SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization". Please cite our paper if you use this dataset: | |
| @inproceedings{gliwa-etal-2019-samsum, | |
| title = "{SAMS}um Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization", | |
| author = "Gliwa, Bogdan and | |
| Mochol, Iwona and | |
| Biesek, Maciej and | |
| Wawer, Aleksander", | |
| booktitle = "Proceedings of the 2nd Workshop on New Frontiers in Summarization", | |
| month = nov, | |
| year = "2019", | |
| address = "Hong Kong, China", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://www.aclweb.org/anthology/D19-5409", | |
| doi = "10.18653/v1/D19-5409", | |
| pages = "70--79" | |
| } | |