BBQ (Bias Benchmark for QA)
BBQ (the Bias Benchmark for QA) is a hand-built evaluation dataset that measures whether a question answering (QA) language model relies on social stereotypes when it answers.
Natural Language Processing
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BookCorpus
BookCorpus (also written BooksCorpus, and sometimes called the Toronto Book Corpus) is a text dataset built from free, self-published English-language ebooks scraped from the distribution platform Smashwords.
Emily M. Bender
Emily M. Bender is an American linguist and a professor in the Department of Linguistics at the University of Washington, where she directs the Computational Linguistics Laboratory.
Machine-generated text detection
Machine-generated text detection is the problem of deciding whether a given passage of text was written by a person or produced by a large language model.
Reporting Bias
Reporting bias is a type of data bias in machine learning that occurs when the frequency of events, properties, or outcomes captured in a dataset does not reflect their real-world frequency, because people…
ToxiGen
ToxiGen is a large-scale, machine-generated dataset designed for adversarial and implicit hate speech detection.