Manage your datasets on the Hugging Face Hub
Project description
Atlas_HFDatasets
A command-line tool to manage your datasets on the Hugging Face Hub - upload, download, list, check and remove datasets with ease.
Prerequisites
- Python 3.7 or higher
Installation
Install the package via pip:
pip install atlas_hfdatasets
Usage
Before using the tool, initialise your Hugging Face credentials:
atlas_hfdatasets init
Commands
-
Upload a dataset
atlas_hfdatasets upload /path/to/dataset [-n username/repo_name] [-p True/False]
Options:
-n
: Repository name (format: username/repo_name). Defaults to dataset folder name-p
: Make dataset public (default: False)
-
List your datasets
atlas_hfdatasets list [-f keyword]
Options:
-f
: Filter datasets by keyword (case-insensitive)
-
Remove a dataset
atlas_hfdatasets remove username/repo_name [-f True/False]
Options:
-f
: Force deletion without confirmation (default: False)
-
Download a dataset
atlas_hfdatasets download username/repo_name [-o output_directory]
Options:
-o
: Output directory path (default: current directory)
-
Check dataset statistics
atlas_hfdatasets check username/repo_name
Requirements
- Python ≥ 3.7
- huggingface-hub
- datasets
Licence
This project is licensed under the MIT Licence - see the LICENSE file for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Project details
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