nmayorga7/multichallenge
MultiChallenge: A Multi-Axis Question Answering Benchmark MultiChallenge evaluates large language models (LLMs) on their ability to conduct multi-turn conversations with human users. The model is given a target question belonging to one or more axes (categories) and must provide a free-form answer. The evaluation uses a secondary judge model to determine if the answer satisfies the pass criteria for that question. Example Task (User) I have some questions about… See the full description on the dataset page: https://huggingface.co/datasets/nmayorga7/multichallenge.
| Author / organization | nmayorga7 |
|---|---|
| License (as declared) | mit |
| Downloads | 234 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 2 September 2025 |
| Last updated at source | 2 September 2025 |
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