The dataset viewer is not available for this split.
Error code: StreamingRowsError Exception: TypeError Message: expected str, bytes or os.PathLike object, not NoneType Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise return get_rows( File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 77, in get_rows rows_plus_one = list(itertools.islice(ds, rows_max_number + 1)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2285, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__ for key, pa_table in self._iter_arrow(): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1879, in _iter_arrow for key, pa_table in self.ex_iterable._iter_arrow(): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow for key, pa_table in iterator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 128, in _convert_to_arrow for key, example in iterator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 222, in __iter__ for key_example in islice(self.generate_examples_fn(**gen_kwags), shard_example_idx_start, None): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 380, in _generate_examples _nested_apply(sample, feature_path, set_feature) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 416, in _nested_apply item[key] = _nested_apply(item[key], feature_path[1:], func) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 409, in _nested_apply item = func(item, feature_path) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 373, in set_feature file_relpath = os.path.normpath(item).replace("\\", "/") File "/usr/local/lib/python3.9/posixpath.py", line 336, in normpath path = os.fspath(path) TypeError: expected str, bytes or os.PathLike object, not NoneType
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GAIA dataset
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).
We added gating to prevent bots from scraping the dataset. Please do not reshare the validation or test set in a crawlable format.
Data and leaderboard
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.
GAIA leaderboard can be found in this space (https://huggingface.co/spaces/gaia-benchmark/leaderboard).
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.
More details in the paper for now and soon here as well.
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