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The original NYT dataset by Riedel et al. (2010) consists of New York Times news articles from 1987-2007 that was distantly annotated with relations using FreeBase. The original dataset consisted of 1.18M sentences. It is available here: https://iesl.cs.umass.edu/riedel/ecml/
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They randomly selected 5000 sentences from it as the test set, 5000 sentences as the validation set and the rest 56195 sentences are used as train set.
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The resulting dataset called NYT-multi features overlapping entities across three entity types and 24 relation types.
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The data was further pre-processed with the StanfordCoreNLP by Yu et al. (2020): https://github.com/yubowen-ph/JointER
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We converted the data into a more readable JSON format
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### Languages
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The original NYT dataset by Riedel et al. (2010) consists of New York Times news articles from 1987-2007 that was distantly annotated with relations using FreeBase. The original dataset consisted of 1.18M sentences. It is available here: https://iesl.cs.umass.edu/riedel/ecml/
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Zeng et al. (2018) that filtered out sentences with more than 100 words and sentences without an active relation, leaving 66195 sentences.
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They randomly selected 5000 sentences from it as the test set, 5000 sentences as the validation set and the rest 56195 sentences are used as train set.
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The resulting dataset called NYT-multi features overlapping entities across three entity types and 24 relation types.
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You can access the raw version from Zeng et al. (2018) using `datasets.load_dataset("DFKI-SLT/nyt-multi", config="raw")`.
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The original data is available here: https://github.com/xiangrongzeng/copy_re
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The data was further pre-processed with the StanfordCoreNLP by Yu et al. (2020): https://github.com/yubowen-ph/JointER
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We converted the data into a more readable JSON format and used it for the default version of the dataset.
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### Languages
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