MAVEN-ERE is a dataset designed for event relation extraction tasks containing 103,193 event coreference chains, 1,216,217 temporal relations, 57,992 causal relations, and 15,841 subevent relations.
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Overview LEVEN is the largest Legal Event Detection dataset as well as the largest Chinese Event Detection dataset.
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The EDT dataset is designed for corporate event detection and text-based stock prediction (trading strategy) benchmark.
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Brazilian Protest is a dataset for event filtering that focuses on protests in multi-modal social media data, with most of the text in Portuguese. The dataset contains 4.5 million tweets, of which 155 thousand are associated with an URL to an uncurated article and 370 thousand have an associated media content (including the media of the uncurated articles).
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MUSIED is a large-scale Chinese event detection dataset based on user reviews, text conversations, and phone conversations in a leading e-commerce platform for food service, designed for event detection tasks.