Beginner needs help load_dataset FileNotFoundError
Hello Everybody,I am an absolute beginner and I hope you can help me.I created the RainerGa/openassistant-guanaco-de for finetuning Falcon with only german Language.But I am getting an Error.I hope you can help me find my mistake. Thanks a lot!Rainerfrom datasets import load_datasetdataset_name = “RainerGa/openassistant-guanaco-de”dataset = load_dataset(dataset_name, split=“train”)FileNotFoundError                         Traceback (most recent call last)in <cell line: 8>()6 # dataset = load_dataset(dataset_name, split=“train”)7 dataset_name = “RainerGa/openassistant-guanaco-de”----> 8 dataset = load_dataset(dataset_name, split=“train”)92 frames/usr/local/lib/python3.10/dist-packages/datasets/load.py in dataset_module_factory(path, revision, download_config, download_mode, dynamic_modules_path, data_dir, data_files, **download_kwargs)1225                     raise e1 from None1226                 if isinstance(e1, FileNotFoundError):→ 1227                     raise FileNotFoundError(1228                         f"Couldn’t find a dataset script at {relative_to_absolute_path(combined_path)} or any data file in the same directory. "1229                         f"Couldn’t find ‘{path}’ on the Hugging Face Hub either: {type(e1).name}: {e1}"FileNotFoundError: Couldn’t find a dataset script at /content/RainerGa/openassistant-guanaco-de/openassistant-guanaco-de.py or any data file in the same directory. Couldn’t find ‘RainerGa/openassistant-guanaco-de’ on the Hugging Face Hub either: FileNotFoundError: Dataset ‘RainerGa/openassistant-guanaco-de’ doesn’t exist on the Hub. If the repo is private or gated, make sure to log in withhuggingface-cli login.
2023-07-20T14:14:37Z
Hello, looks like load_dataset() script can’t find your dataset/loading script directory. Are you loading a dataset from a folder or using a script? Anyway, datasets library has a gooddocumentationfor that purpose. Hope this can help!
2024-09-14T09:22:59Z
I recommend you to download the dataset and use datasets.load_from_disk instead.