Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
for split_generator in builder._split_generators(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 91, in _split_generators
inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema
File "pyarrow/table.pxi", line 5317, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Must pass at least one table
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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🧠 AIXCC Challenge Benchmark – Java Challenges
📌 Overview
AIXCC Challenge Benchmark (Java Challenges) is a curated subset of the full AIXCC Challenge Benchmark focused solely on C-based challenges.
This benchmark is built upon the official AIXCC Challenge. Each Java challenge consists of either a delta (focused diff) or full (whole project) test case.
📎 Reference Implementation
This benchmark is designed to work with our open-source CRS system: https://github.com/o2lab/afc-crs-all-you-need-is-a-fuzzing-brain
For technical details, see our paper: https://arxiv.org/abs/2509.07225
📄 License
This dataset builds on the official AIXCC Challenge. Please adhere to its license and usage policies.
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