The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,084 works in the cohort · of 4,299,418page 6 of 62
Labels cover 10 of 3,084 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.
Distilled predictions cover 3,084 of 3,084 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi +6 more
2022· article· en· Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies· Computer Science
David Ifeoluwa Adelani, Jesujoba O. Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid +39 more
2022· article· en· Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies· Computer Science
