---
license: cc-by-sa-4.0
language:
- en
pretty_name: ForecastBench
---
[![ICLR 2025](https://img.shields.io/badge/ICLR-2025-D5FFC1?labelColor=2A363F)](https://iclr.cc/virtual/2025/poster/28507) [![arXiv:2409.19839](https://img.shields.io/badge/arXiv-2409.19839-272727?logo=arxiv&labelColor=B31B1B)](https://arxiv.org/abs/2409.19839)

## ForecastBench Datasets

This repository contains the datasets produced by ForecastBench, a forecasting benchmark for
LLMs.

More info at [https://www.forecastbench.org](https://www.forecastbench.org/).

Code available at [https://github.com/forecastingresearch/forecastbench](https://github.com/forecastingresearch/forecastbench).

## License

The datasets in this repository are distributed under the [CC BY-SA 4.0 license](https://creativecommons.org/licenses/by-sa/4.0/legalcode).

## Citation

```bibtex
@inproceedings{karger2025forecastbench,
      title={ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities},
      author={Ezra Karger and Houtan Bastani and Chen Yueh-Han and Zachary Jacobs and Danny Halawi and Fred Zhang and Philip E. Tetlock},
      year={2025},
      booktitle={International Conference on Learning Representations (ICLR)},
      url={https://iclr.cc/virtual/2025/poster/28507}
}
```