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Bias Detection datasets
archive 2025-07-28
11 datasets carry the task tag "Bias Detection" (the task itself: Bias Detection), ordered by the archive's paper count. Page 1 of 1: 11 shown of 11. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Bias Detection datasets 1–11 of 11
A large-scale natural dataset in English to measure stereotypical biases in four domains: gender, profession, race, and religion.
156 papers · 1 benchmark
300 news articles annotated with 1,727 bias spans and find evidence that informational bias appears in news articles more frequently than lexical bias.
27 papers · 0 benchmarks
Grep-BiasIR (Gender Representation-Bias for Information Retrieval)
Grep-BiasIR is a novel thoroughly-audited dataset which aim to facilitate the studies of gender bias in the retrieved results of IR systems.
5 papers · 0 benchmarks
CI-MNIST (Correlated and Imbalanced MNIST)
CI-MNIST (Correlated and Imbalanced MNIST) is a variant of MNIST dataset with introduced different types of correlations between attributes, dataset features, and an artificial eligibility criterion.
4 papers · 0 benchmarks
CLEAR-Bias (Corpus for Linguistic Evaluation of Adversarial Robustness against Bias)
CLEAR-Bias is a benchmark dataset designed to evaluate the robustness of large language models (LLMs) against bias elicitation, particularly under adversarial conditions.
2 papers · 0 benchmarks
A text corpus of more than 200,000 sentences from eleven news sources regarding Donald Trump.
2 papers · 0 benchmarks
TwinViews-13k is a dataset of 13,855 pairs of left-leaning and right-leaning political statements, each pair matched by topic.
2 papers · 0 benchmarks
Filipino CrowS-Pairs and Filipino WinoQueer assess sexist and homophobic biases in language models handling Filipino.
1 paper · 0 benchmarks
WEATHub is a dataset containing 24 languages.
1 paper · 0 benchmarks
"The Chicago Face Database was developed at the University of Chicago by Debbie S.
1 paper · 0 benchmarks
The Innodata Red Teaming Prompts aims to rigorously assess models’ factuality and safety.
1 paper · 1 benchmark
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.