Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: ValueError
Message: Split already present
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1029, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1004, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 682, in get_module
config_name: DatasetInfo.from_dict(dataset_info_dict)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 284, in from_dict
return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<string>", line 20, in __init__
File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 179, in __post_init__
self.splits = SplitDict.from_split_dict(self.splits)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/splits.py", line 571, in from_split_dict
split_dict.add(split_info)
File "/usr/local/lib/python3.12/site-packages/datasets/splits.py", line 548, in add
raise ValueError(f"Split {split_info.name} already present")
ValueError: Split already presentNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
🧮 AI Reasoning Math Dataset
Dataset containing math word problems with step-by-step reasoning and final answers.
Designed for:
- Chain-of-thought training
- Reasoning model fine-tuning
- Math QA benchmarking
📊 Dataset Statistics
- Train: 5,000 samples
- Validation: 1,000 samples
- Test: 1,000 samples
- Total: 7,000 samples
📄 Data Format
{
"question": "If a train travels 60 km in 1.5 hours, what is its average speed?",
"reasoning": "Average speed = distance / time. 60 / 1.5 = 40 km/h.",
"answer": "40 km/h",
"difficulty": "easy"
}
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