Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-class-classification
Size:
100K<n<1M
ArXiv:
Tags:
relation extraction
License:
Update README.md
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README.md
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- **Size of the generated dataset:** 40.9 MB
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- **Total amount of disk used:** 103.2 MB
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### Dataset Summary
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the
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The TAC Relation Extraction Dataset (TACRED) is a large-scale relation extraction dataset with 106,264 examples built over newswire and web text from the corpus used in the yearly TAC Knowledge
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Base Population (TAC KBP) challenges. Examples in TACRED cover 41 relation types as used in the TAC KBP challenges (e.g., per:schools_attended
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the original version released in 2017. For more details on this new version, see the [TACRED Revisited paper](https://aclanthology.org/2020.acl-main.142/)
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published at ACL 2020.
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### Supported Tasks and Leaderboards
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- **Tasks:** Relation Classification
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- **Leaderboards:** [https://paperswithcode.com/sota/relation-extraction-on-tacred](https://paperswithcode.com/sota/relation-extraction-on-tacred)
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- **Size of the generated dataset:** 40.9 MB
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- **Total amount of disk used:** 103.2 MB
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### Dataset Summary
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NOTE: This Datasetreader supports a reduced version of the original TACRED JSON format with the following changes:
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- Removed fields: stanford_pos, stanford_ner, stanford_head, stanford_deprel, docid
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The motivation for this is that we want to support additional languages, for which these fields were not required
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or available. The reader expects the specification of a language-specific configuration specifying the variant
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(original or revised) and the language (as a two-letter iso code). The default config is 'original-en'.
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You can find the TACRED dataset reader for the original version of the
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dataset [here](https://huggingface.co/datasets/DFKI-SLT/tacred).
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The TAC Relation Extraction Dataset (TACRED) is a large-scale relation extraction dataset with 106,264 examples built over newswire and web text from the corpus used in the yearly TAC Knowledge
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Base Population (TAC KBP) challenges. Examples in TACRED cover 41 relation types as used in the TAC KBP challenges (e.g., per:schools_attended
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the original version released in 2017. For more details on this new version, see the [TACRED Revisited paper](https://aclanthology.org/2020.acl-main.142/)
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published at ACL 2020.
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### Supported Tasks and Leaderboards
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- **Tasks:** Relation Classification
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- **Leaderboards:** [https://paperswithcode.com/sota/relation-extraction-on-tacred](https://paperswithcode.com/sota/relation-extraction-on-tacred)
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