facebook/FACTORY
Overview FACTORY is a large-scale, human-verified, and challenging prompt set. We employ a model-in-the-loop approach to ensure quality and address the complexities of evaluating long-form generation. Starting with seed topics from Wikipedia, we expand each topic into a diverse set of prompts using large language models (LLMs). We then apply the model-in-the-loop method to filter out simpler prompts, maintaining a high level of difficulty. Human annotators further refine the… See the full description on the dataset page: https://huggingface.co/datasets/facebook/FACTORY.
| Author / organization | |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 127 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 24 July 2025 |
| Last updated at source | 7 August 2025 |
Recent changes
- 16 Oct 2026 Description: Overview FACTORY is a large-scale, human-verified, and challenging prompt set. We employ a model-in-the-loop approach to ensure quality and address the complexities of evaluating long-form generation. Starting with seed topics from Wikipedi → Overview FACTORY is a large-scale, human-verified, and challenging prompt set. We employ a model-in-the-loop approach to ensure quality and address the complexities of evaluating long-form generation. Starting with seed topics from Wikipedi
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