Datasets:
The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/harbor/harbor.py", line 171, in _split_generators
raise DataFilesNotFoundError("No task.toml or instruction.md files found")
datasets.exceptions.DataFilesNotFoundError: No task.toml or instruction.md files found
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 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, 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.
Neo Ar — Arabic Decision Model Dataset

This dataset contains synthetic Arabic-only decision records for training and evaluating Neo Ar. The model and dataset cards are written in English, but all state text, questions, labels, tool descriptions, and decision examples are in Arabic.
Initial target
- 600,000 state records.
- At least 1,800,000 individual decisions.
choice,score, andnoulquestions.- 40 Arabic-described tools and actions.
- Train, calibration, and held-out test splits.
The associated Neo Ar model contains 86,393,160 trainable parameters with the released Arabic tokenizer vocabulary.
Provenance
Records are generated deterministically by the Arabic synthetic-data generator in the Neo Ar GitHub repository. No public dataset rows are copied into the training corpus. The final manifest will include counts, seed, split metadata, and SHA-256 hashes.
Links
- Model: https://huggingface.co/tokenaii/Neo-Ar
- Complete source and training repository: https://github.com/tokenaii/Neo-Ar
Training logs and benchmark history are maintained on GitHub only and are not part of this dataset release.
TokenAI is a non-profit startup founded in 2025 by Assem Sabry, based in Alexandria, Egypt. Contact: info@tokenai.llc — https://tokenai.llc.
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