Explore recent datasets from Hugging Face Hub
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Create a large, deduplicated dataset for LLM pre-training
Organize and process datasets efficiently
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Recent Hugging Face Datasets is a tool designed to help users explore and discover the latest datasets available on the Hugging Face Hub. It provides a convenient way to browse, filter, and access datasets that have been recently added or updated, making it easier to stay up-to-date with the latest developments in the field of machine learning and data science.
• Browsable Interface: Easily navigate through a curated list of recent datasets. • Filtering Options: Sort and filter datasets based on parameters like date, popularity, and task type. • Detailed Dataset View: Access comprehensive information about each dataset, including descriptions, metrics, and usage examples. • Integration with Hugging Face Ecosystem: Seamlessly connect with other Hugging Face tools like the Model Hub and Tokenizers. • Real-Time Updates: Stay informed about the latest additions and updates to the dataset collection.
pip install -U datasets.from datasets import RecentDatasets in your Python environment.RecentDatasets.display() to view a list of recently added datasets.max_released_date or tasks to narrow down the results.What types of datasets are available on Recent Hugging Face Datasets?
Recent Hugging Face Datasets includes a wide variety of datasets for tasks like natural language processing, computer vision, audio processing, and more.
How often are the datasets updated?
Datasets are updated in real-time as new datasets are added or existing ones are modified on the Hugging Face Hub.
Can I contribute my own dataset to Recent Hugging Face Datasets?
Yes, you can upload your dataset to the Hugging Face Hub, and it will automatically appear in Recent Hugging Face Datasets if it meets the submission guidelines.