Error code: ConfigNamesError Exception: ValueError Message: Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('text', {}), NamedSplit('test'): (None, {})} Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 65, in compute_config_names_response for config in sorted(get_dataset_config_names(path=dataset, token=hf_token)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1511, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1488, in dataset_module_factory return HubDatasetModuleFactoryWithoutScript( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1053, in get_module module_name, default_builder_kwargs = infer_module_for_data_files( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 512, in infer_module_for_data_files raise ValueError(f"Couldn't infer the same data file format for all splits. Got {split_modules}") ValueError: Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('text', {}), NamedSplit('test'): (None, {})}

To run generation code within 'mathematics_dataset\mathematics_dataset':

Activate python venv .\.venv\Scripts\activate
- Requirements defined in requires.txt
Run python generate_to_file.py --output_dir ds to generate dataset to directory \ds

Had to change enconding when opening files to utf-8 so that some characters are allowed (ã õ é)

To obtain dataset with the correct amount of rows:

python generate_to_file.py --output_dir ds --per_train_module 1999998 --per_test_module 10000

This dataset creates train set (train-easy,train-medium,train-hard) and the creates extrapolation ("measure generalization along various axes of difficulty to beyond that seen during training") and interpolation ("test questions are distinct from the train questions") tests. On HugginFace only interpolate tests are used as test set.

Some tests will not work, since they rely on english terms.