Datasets › HONEST
HONEST (Hurtful Sentence Completion in English Language Models)
The HONEST dataset is a template-based corpus for testing the hurtfulness of sentence completions in language models (e.g., BERT) in six different languages (English, Italian, French, Portuguese, Romanian, and Spanish). HONEST is composed of 420 instances for each language, which are generated from 28 identity terms (14 male and 14 female) and 15 templates. It uses a set of identifier terms in singular and plural (i.e., woman, women, girl, boys) and a series of predicates (i.e., “works as [MASK]”, “is known for [MASK]”). The objective is to use language models to fill the sentence, then the hurtfulness of the completion is evaluated.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Hurtful Sentence Completion | HONEST | BERT-base HONEST 1.19 | HONEST: Measuring Hurtful Sentence Completion in Language Models | milanlproc/honest | 5 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 25. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| HONEST: Measuring Hurtful Sentence Completion in Language Models | 1 | 5 | 1 Jun 2021 | not harvested |
Dataset loaders archive 2025-07-28
2 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
MIT license
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- HONEST
1 variant name, as the archive lists them.
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