Datasets:

zhangdw
/

GAIA2-mini

GAIA2 is a dataset by Meta AI Research / Meta Platforms, Inc. This distribution, prepared by zhangdw, packages the original mini validation Parquet and published filesystem files for local use. It adds a row index, manifests, validation metadata and documentation. Source revisions, file hashes and directory mappings are recorded in provenance.json and data-manifest.json.

Original sources:

The original dataset cards are included verbatim as upstream/gaia2.README.md and upstream/filesystem.README.md. They contain the upstream attribution, licensing, intended-use and benchmark-preservation notices.

Upstream terms

The GAIA2 dataset card states:

The Data is released CC-by 4.0 and is intended for benchmarking purposes only. The synthetic data are outputs of Llama 3.3 and Llama 4 Maverick and subject to the respective licenses (Llama 3.3 license; Llama 4 License). If you use this portion of the data to create, train, fine tune, or otherwise improve an AI model, which is distributed or made available, you shall also include “Llama” at the beginning of any such AI model name. Third party content pulled from other locations are subject to its own licenses and you may have other legal obligations or restrictions that govern your use of that content.

The filesystem card additionally states:

Some files come from a subset of the Wikipedia and are licensed under the Wikipedia own license.

The source cards request use of the data for evaluation. Individual documents, images and other third-party resources are distributed under their respective licenses and notices. The Creative Commons Attribution 4.0 International terms apply as specified above.

Citation

@misc{andrews2025arescalingagentenvironments,
      title={ARE: Scaling Up Agent Environments and Evaluations},
      author={Pierre Andrews and Amine Benhalloum and Gerard Moreno-Torres Bertran and Matteo Bettini and Amar Budhiraja and Ricardo Silveira Cabral and Virginie Do and Romain Froger and Emilien Garreau and Jean-Baptiste Gaya and Hugo Laurençon and Maxime Lecanu and Kunal Malkan and Dheeraj Mekala and Pierre Ménard and Grégoire Mialon and Ulyana Piterbarg and Mikhail Plekhanov and Mathieu Rita and Andrey Rusakov and Thomas Scialom and Vladislav Vorotilov and Mengjue Wang and Ian Yu},
      year={2025},
      eprint={2509.17158},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2509.17158},
}