AthenaraDatasets / ectsum
ECTSum
A benchmark of 2,425 long earnings call transcripts paired with expert-written telegram-style bullet-point summaries drawn from Reuters articles.
- earnings-calls
- summarization
- benchmark
- nlp
- financial-documents
added 2026-08-15 · GPL-3.0 · external
Use this
$ git clone https://github.com/rajdeep345/ECTSumPrerequisites
tradingbasicaimoderateprogrammingbasicsetupbasic
Details
| authors | Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal |
|---|---|
| origin | external |
| license | GPL-3.0 |
| access | open |
| source | Earnings call transcripts of US public companies; summaries derived from Reuters articles |
| coverage | assets: 2,425 transcript–summary pairs (US public companies) |
| size | 2,425 document–summary pairs |
| markets | equities |
ECTSum targets extreme summarization of long, unstructured financial documents: its document-to-summary compression ratio of 103.67 is the highest among long-document summarization datasets of comparable length, forcing models to isolate only the most material facts — the same skill a research agent needs when reading an earnings call before a trading decision.
Published as a long paper at EMNLP 2022 (arXiv:2210.12467); the release includes baseline results and the authors’ ECT-BPS model.