Resources & Platforms


OpenDataLab provides a comprehensive suite of resources for researchers, practitioners, and students interested in data-centric AI. Below you'll find our datasets, tools and platforms that support cutting-edge AI research and development.

Datasets

OmniDocBench

A high-quality multi-source evaluation benchmark that pioneers a new paradigm for document parsing assessment

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Wanjuan Silkroad

The first large-scale multilingual corpus covering mainstream modalities

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Shusheng Wanjuan

Shanghai AI Lab's first open-source high-quality multimodal pretraining corpus for large models

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Platforms & Tools

OpenDataLab

China's most influential large model data platform in terms of volume and data scale

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MinerU

A document corpus production engine for the large model era

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Label U

A flexible annotation tool compatible with multiple data formats and freely configurable combinations

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Label LLM

A renowned data annotation platform in the open-source field

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OpendataArena

A comprehensive benchmark platform for evaluating and comparing AI models across diverse tasks

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More Resources

For additional resources and tools, please visit OpenDataLab's Open Source Tools platform. The platform provides a comprehensive collection of AI development resources.