AnchorAL
Collection
Artefacts for the paper "AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets" (Lesci and Vlachos, 2024)
•
4 items
•
Updated
Error code: ConfigNamesError Exception: ValueError Message: Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('parquet', {}), NamedSplit('validation'): (None, {})} 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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1879, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1854, in dataset_module_factory return HubDatasetModuleFactoryWithoutScript( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1245, 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 593, 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'): ('parquet', {}), NamedSplit('validation'): (None, {})}
Need help to make the dataset viewer work? Open a discussion for direct support.
Artefacts related to the paper "AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets" published at the NAACL 2024 conference. These artefacts can be reproduced using the code available at github.com/pietrolesci/anchoral.
The outputs/
folder includes the raw files created by the individual experiments.
The results/
folder contains the exported metrics and configurations that are used to complete the analysis and create the tables and plots reported in the paper.