  The advancement of artificial intelligence (AI) hinges on the quality and
accessibility of data, yet the current fragmentation and variability of data
sources hinder efficient data utilization. The dispersion of data sources and
diversity of data formats often lead to inefficiencies in data retrieval and
processing, significantly impeding the progress of AI research and
applications. To address these challenges, this paper introduces OpenDataLab, a
platform designed to bridge the gap between diverse data sources and the need
for unified data processing. OpenDataLab integrates a wide range of open-source
AI datasets and enhances data acquisition efficiency through intelligent
querying and high-speed downloading services. The platform employs a
next-generation AI Data Set Description Language (DSDL), which standardizes the
representation of multimodal and multi-format data, improving interoperability
and reusability. Additionally, OpenDataLab optimizes data processing through
tools that complement DSDL. By integrating data with unified data descriptions
and smart data toolchains, OpenDataLab can improve data preparation efficiency
by 30\%. We anticipate that OpenDataLab will significantly boost artificial
general intelligence (AGI) research and facilitate advancements in related AI
fields. For more detailed information, please visit the platform's official
website: https://opendatalab.com.
