Create and validate structured metadata for datasets
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Manage and label datasets for your projects
Organize and process datasets using AI
Access NLPre-PL dataset and pre-trained models
Label data efficiently with ease
Display trending datasets and spaces
A collection of parsers for LLM benchmark datasets
Support by Parquet, CSV, Jsonl, XLS
Save user inputs to datasets on Hugging Face
Create a domain-specific dataset seed
Download datasets from a URL
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Datasets Tagging is a tool designed to create and validate structured metadata for datasets. It helps users organize and categorize datasets by assigning relevant tags, making them easier to search, understand, and manage. This tool is particularly useful for ensuring consistency and improving the discoverability of datasets across teams and organizations.
• Structured Metadata Support: Assign tags and create validated metadata for datasets in a systematic manner.
• Collaborative Tagging: Enable teams to work together on tagging datasets, promoting consistency and shared understanding.
• Automatic Tagging Suggestions: Leverage AI-powered suggestions to streamline the tagging process.
• Version Control: Track changes in dataset tags and metadata over time.
• Custom Taxonomy Support: Define and apply custom tagging taxonomies tailored to your organization’s needs.
• Integration Capabilities: Seamlessly integrate with data platforms, machine learning workflows, and other tools.
1. What are the benefits of using Datasets Tagging?
Datasets Tagging improves dataset discoverability, ensures consistency in metadata, and enhances collaboration across teams by providing clear and standardized tags.
2. What types of datasets can be tagged?
This tool supports tagging of various dataset formats, including CSV, JSON, Parquet, and more, making it versatile for different data types and use cases.
3. Can I customize the tagging taxonomy?
Yes, Datasets Tagging allows you to define and apply custom taxonomies, enabling you to tailor the tagging system to your organization's specific needs.