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content.py
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@@ -7,7 +7,7 @@ GAIA is a benchmark which aims at evaluating next-generation LLMs (LLMs with aug
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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.
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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 data can be found in [this
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## Submissions
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Results can be submitted for both validation and test. Scores are expressed as the percentage of correct answers for a given split.
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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.
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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 data can be found in [this dataset](https://huggingface.co/datasets/gaia-benchmark/GAIA). 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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## Submissions
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Results can be submitted for both validation and test. Scores are expressed as the percentage of correct answers for a given split.
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