| license: gpl-3.0 | |
| language: | |
| - en | |
| configs: | |
| - config_name: aveni-bench-ectsum | |
| data_files: | |
| - split: test | |
| path: | |
| - data/test.jsonl | |
| default: true | |
| tags: | |
| - aveni-bench | |
| - summarisation | |
| - finnlp | |
| # AveniBench: ECTSum | |
| ECTSum split used in the AveniBench. | |
| ## License | |
| This dataset is made available under the GPL-3.0 license. | |
| ## Citation | |
| AveniBench | |
| ```bibtex | |
| TDB | |
| ``` | |
| ECTSum | |
| ```bibtex | |
| @inproceedings{mukherjee-etal-2022-ectsum, | |
| title = "{ECTS}um: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts", | |
| author = "Mukherjee, Rajdeep and | |
| Bohra, Abhinav and | |
| Banerjee, Akash and | |
| Sharma, Soumya and | |
| Hegde, Manjunath and | |
| Shaikh, Afreen and | |
| Shrivastava, Shivani and | |
| Dasgupta, Koustuv and | |
| Ganguly, Niloy and | |
| Ghosh, Saptarshi and | |
| Goyal, Pawan", | |
| booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing", | |
| month = dec, | |
| year = "2022", | |
| address = "Abu Dhabi, United Arab Emirates", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/2022.emnlp-main.748/", | |
| doi = "10.18653/v1/2022.emnlp-main.748", | |
| pages = "10893--10906", | |
| } | |
| ``` | |