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--- |
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language: |
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- en |
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pretty_name: General AI Assistants Benchmark |
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extra_gated_prompt: "To avoid contamination and data leakage, you agree to not reshare this dataset outside of a gated or private repository on the HF hub." |
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extra_gated_fields: |
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I agree to not reshare the GAIA submissions set according to the above conditions: checkbox |
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configs: |
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- config_name: 2023_all |
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data_files: |
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- split: test |
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path: "2023/test/metadata.parquet" |
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- split: validation |
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path: "2023/validation/metadata.parquet" |
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- config_name: 2023_level1 |
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data_files: |
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- split: test |
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path: "2023/test/metadata.level1.parquet" |
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- split: validation |
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path: "2023/validation/metadata.level1.parquet" |
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- config_name: 2023_level2 |
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data_files: |
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- split: test |
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path: "2023/test/metadata.level2.parquet" |
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- split: validation |
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path: "2023/validation/metadata.level2.parquet" |
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- config_name: 2023_level3 |
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data_files: |
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- split: test |
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path: "2023/test/metadata.level3.parquet" |
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- split: validation |
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path: "2023/validation/metadata.level3.parquet" |
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--- |
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# GAIA dataset |
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GAIA is a benchmark which aims at evaluating next-generation LLMs (LLMs with augmented capabilities due to added tooling, efficient prompting, access to search, etc). |
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We added gating to prevent bots from scraping the dataset. Please do not reshare the validation or test set in a crawlable format. |
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## Data and leaderboard |
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GAIA is made of more than 450 non-trivial question with an unambiguous answer, requiring different levels of tooling and autonomy to solve. It is therefore divided in 3 levels, where level 1 should be breakable by very good LLMs, and level 3 indicate a strong jump in model capabilities. Each level is divided into a fully public dev set for validation, and a test set with private answers and metadata. |
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GAIA leaderboard can be found in this space (https://huggingface.co/spaces/gaia-benchmark/leaderboard). |
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Questions are contained in metadata.jsonl. Some questions come with an additional file, that can be found in the same folder and whose id is given in the field file_name. |
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More details in [the paper](https://arxiv.org/abs/2311.12983) for now and soon here as well. |
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## Dataset Format update (October 2025) |
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To keep GAIA compatible with HF datasets 4.x where code-based dataset loaders are deprecated—we now ship Parquet-backed splits that mirror the former JSONL structure: |
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- `metadata.parquet` carries the full split, and companion files like `metadata.level1.parquet` retain the per-level views exposed in the configs. |
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- Columns remain `task_id`, `Question`, `Level`, `Final answer`, `file_name`, `file_path`, and the struct-valued `Annotator Metadata`, so existing processing pipelines can continue unchanged. |
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- `file_path` keeps pointing to attachments relative to the repository root (for example, `2023/test/<attachment-id>.pdf`), ensuring offline access to PDFs, media, and other auxiliary files. |
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### Load datasets |
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```python |
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import os |
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from datasets import load_dataset |
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from huggingface_hub import snapshot_download |
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data_dir = snapshot_download(repo_id="gaia-benchmark/GAIA", repo_type="dataset") |
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dataset = load_dataset(data_dir, "2023_level1", split="test") |
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for example in dataset: |
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question = example["Question"] |
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file_path = os.path.join(data_dir, example["file_path"]) |
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``` |
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