ScaleAI/MultiChallenge
MultiChallenge MultiChallenge is a benchmark for evaluating large language models on multi-turn conversations. It tests whether models can maintain context, follow instructions, and reason correctly across extended dialogues. Evaluation Axes Axis Description INFERENCE_MEMORY Tests whether the model can recall and reason over information from earlier turns INSTRUCTION_RETENTION Tests whether the model continues to follow instructions given in earlier… See the full description on the dataset page: https://huggingface.co/datasets/ScaleAI/MultiChallenge.
| Author / organization | ScaleAI |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.2K (as reported by Hugging Face) |
| Likes | 3 |
| Created | 31 March 2026 |
| Last updated at source | 31 March 2026 |
Recent changes
- 16 Oct 2026 Description: MultiChallenge MultiChallenge is a benchmark for evaluating large language models on multi-turn conversations. It tests whether models can maintain context, follow instructions, and reason correctly across extended dialogues. Evaluation Axe → MultiChallenge MultiChallenge is a benchmark for evaluating large language models on multi-turn conversations. It tests whether models can maintain context, follow instructions, and reason correctly across extended dialogues. Evaluation Axe
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