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{"default": {"description": "In Event2Mind, we explore the task of understanding stereotypical intents and reactions to events. Through crowdsourcing, we create a large corpus with 25,000 events and free-form descriptions of their intents and reactions, both of the event's subject and (potentially implied) other participants.\n", "citation": "@inproceedings{event2Mind,\n    title={Event2Mind: Commonsense Inference on Events, Intents, and Reactions},\n    author={Hannah Rashkin and Maarten Sap and Emily Allaway and Noah A. Smith\u2020 Yejin Choi},\n    year={2018}\n}\n", "homepage": "https://uwnlp.github.io/event2mind/", "license": "", "features": {"Source": {"dtype": "string", "id": null, "_type": "Value"}, "Event": {"dtype": "string", "id": null, "_type": "Value"}, "Xintent": {"dtype": "string", "id": null, "_type": "Value"}, "Xemotion": {"dtype": "string", "id": null, "_type": "Value"}, "Otheremotion": {"dtype": "string", "id": null, "_type": "Value"}, "Xsent": {"dtype": "string", "id": null, "_type": "Value"}, "Osent": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "event2mind", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 649273, "num_examples": 5221, "dataset_name": "event2mind"}, "train": {"name": "train", "num_bytes": 5916384, "num_examples": 46472, "dataset_name": "event2mind"}, "validation": {"name": "validation", "num_bytes": 672365, "num_examples": 5401, "dataset_name": "event2mind"}}, "download_checksums": {"https://uwnlp.github.io/event2mind/data/event2mind.zip": {"num_bytes": 1300770, "checksum": "07dcd0a1278b474ffbe29eff309ff8e0c512521022e2623cbecd417402802a2e"}}, "download_size": 1300770, "dataset_size": 7238022, "size_in_bytes": 8538792}}