Athenarabeta

athenara:~$ registry open datasets/ectsum

ECTSum

A benchmark of 2,425 long earnings call transcripts paired with expert-written telegram-style bullet-point summaries drawn from Reuters articles.

RepositoryWebsiteMarkdownEdit this entry

#earnings-calls #summarization #benchmark #nlp #financial-documents

added 2026-08-15 · GPL-3.0 · external

$ git clone https://github.com/rajdeep345/ECTSum
source Earnings call transcripts of US public companies; summaries derived from Reuters articles
size 2,425 document–summary pairs
coverage assets: 2,425 transcript–summary pairs (US public companies)
access open
license GPL-3.0

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.

trading [●●···] basic   ai [●●●··] moderate   programming [●●···] basic   setup [●●···] basic

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
markets equities

athenara:~$