Datasets › EDT

EDT

Introduced by Zhihan Zhou et al. in Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading26 May 2021 archive 2025-07-28

The EDT dataset is designed for corporate event detection and text-based stock prediction (trading strategy) benchmark.

  1. Corporate Event Detection It includes 9721​ news articles with token-level event labels. Including 11 event types: Acquisitions, Clinical Trials, Guidance Changes, New Contracts, Stock Repurchases, Stock Split, Reverse Stock Split/ADS Ratio Change, Regular Dividend, Special Dividend, Dividend Cut, Dividend Increase

  2. Text-Based Stock Prediction Benchmark It includes 303893​ first-hand news articles from high-quality sources. Each news article is assigned a minute-level timestamp and comprehensive stock price labels.

Please see this Github Link and paper for more details.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 5 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • EDT

1 variant name, as the archive lists them.

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