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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: DataFilesNotFoundError
Message: No (supported) data files found in kailinjiang/punkt
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 72, 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 1904, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1885, in dataset_module_factory
return HubDatasetModuleFactoryWithoutScript(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1270, 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 597, in infer_module_for_data_files
raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in kailinjiang/punktNeed help to make the dataset viewer work? Open a discussion for direct support.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
🛠️ Requirements and Installation
# clone ICE
git clone https://github.com/Yofuria/ICE.git
cd ICE
# create conda env
conda create -n ICE python=3.10
conda activate ICE
# install package
pip install -r requirements.txt
In lines 32 and 33 of examples/run_knowedit_llama2.py, you need to download the punkt package.
- If your Internet speed is fast enough, you can run the code directly from the command line.
if __name__ == "__main__":
# If you have a slow Internet connection and can't download nltk quickly, comment these two lines and use the second method of Requirements and Installation in README.md
import nltk
nltk.download('punkt')
- If your Internet speed is slow, comment lines 32 and 33 and download punkt manually. And place it in the ICE environment directory you created, create a nltk_data/tokenizers folder, and unpack punkt into this directory.
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