s-nlp/PsiloQA
Paper When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA Code https://github.com/s-nlp/PsiloQA What is it? PsiloQA is the largest dataset for training and evaluating systems on multilingual span-level hallucination detection with retrieved context. It offers: An automated and scalable pipeline for generating, annotating and filtering data for hallucination detection task A large multilingual dataset for 14… See the full description on the dataset page: https://huggingface.co/datasets/s-nlp/PsiloQA.
| Author / organization | s-nlp |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 235 (as reported by Hugging Face) |
| Likes | 10 |
| Created | 5 September 2025 |
| Last updated at source | 17 November 2025 |
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235 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- vllm-sr/Decision-1.0-Route-0.6BModel · used to train
Recent changes
- 17 Oct 2026 Description: Paper When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA Code https://github.com/s-nlp/PsiloQA What is it? PsiloQA is the largest dataset for training and evaluating systems on multilingual span-level ha → Paper When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA Code https://github.com/s-nlp/PsiloQA What is it? PsiloQA is the largest dataset for training and evaluating systems on multilingual span-level ha
Changes detected by Silytics between refreshes of the source.
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