epfl-dlab/JSONSchemaBench
JSONSchemaBench JSONSchemaBench is a benchmark of real-world JSON schemas designed to evaluate structured output generation for Large Language Models (LLMs). It contains approximately 10,000 JSON schemas, capturing diverse constraints and complexities. import datasets from datasets import load_dataset def main(): # Inspect the available subsets of the dataset all_subsets = datasets.get_dataset_config_names("epfl-dlab/JSONSchemaBench") print("Available subsets:"… See the full description on the dataset page: https://huggingface.co/datasets/epfl-dlab/JSONSchemaBench.
| Author / organization | epfl-dlab |
|---|---|
| License (as declared) | mit |
| Downloads | 3.6K (as reported by Hugging Face) |
| Likes | 12 |
| Created | 12 September 2024 |
| Last updated at source | 31 March 2025 |
Recent changes
- 16 Oct 2026 Description: JSONSchemaBench JSONSchemaBench is a benchmark of real-world JSON schemas designed to evaluate structured output generation for Large Language Models (LLMs). It contains approximately 10,000 JSON schemas, capturing diverse constraints and c → JSONSchemaBench JSONSchemaBench is a benchmark of real-world JSON schemas designed to evaluate structured output generation for Large Language Models (LLMs). It contains approximately 10,000 JSON schemas, capturing diverse constraints and c
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