KRLabsOrg/lettucedetect-code-hallucination
LettuceDetect Grounded Hallucination Dataset Token-level hallucination annotations on LLM responses grounded in structured context across five sources — source code, developer-tool output, academic papers, GitHub READMEs, and Wikipedia. Part of the LettuceDetect data collection. Every sample pairs a grounded context with an LLM answer that is either correct or contains a minimally perturbed, character-span-annotated hallucination. All spans use one unified taxonomy, so the… See the full description on the dataset page: https://huggingface.co/datasets/KRLabsOrg/lettucedetect-code-hallucination.
| Author / organization | KRLabsOrg |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 367 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 19 May 2026 |
| Last updated at source | 7 August 2026 |
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367 now (+5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- Beyond Document Grounding: Span-Level Hallucination Detection over Code, Tool Output, and DocumentsPaper · cites
- mradermacher/lettucedect-v2-qwen-2b-GGUFModel · used to train
- KRLabsOrg/lettucedect-v2-qwen-2bModel · used to train
- vllm-sr/Vela-2.0-9BModel · used to train
- vllm-sr/Vela-2.0-4BModel · used to train
- KRLabsOrg/lettucedect-v2-taxonomy-headModel · used to train
- KRLabsOrg/lettucedect-v2-mmbert-baseModel · used to train
- vllm-sr/Vela-2.0-0.8BModel · used to train
- vllm-sr/Vela-2.0-0.3BModel · used to train
- vllm-sr/Vela-1.0-Encoder-307M-HaluModel · used to train
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