vllm-sr/longcontext-haldetect
Long-Context Hallucination Detection Benchmark A synthetic benchmark dataset for evaluating hallucination detection models on long documents (8K-24K tokens). This dataset is specifically designed to test models that can handle contexts beyond the typical 8K token limit. Dataset Summary Property Value Total samples 3,366 Token range 8,005 - 23,998 Average tokens 17,852 Hallucinated 1,681 (49.9%) Supported 1,685 (50.1%) Splits… See the full description on the dataset page: https://huggingface.co/datasets/vllm-sr/longcontext-haldetect.
| Author / organization | vllm-sr |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 254 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 8 January 2026 |
| Last updated at source | 9 January 2026 |
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