OpenDataLab: Empowering General Artificial Intelligence with Open Datasets

arXiv - CS - Digital Libraries Pub Date : 2024-06-04 DOI:arxiv-2407.13773

Conghui He, Wei Li, Zhenjiang Jin, Chao Xu, Bin Wang, Dahua Lin

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Abstract

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.

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开放数据实验室：利用开放数据集增强通用人工智能能力

人工智能（AI）的发展取决于数据的质量和可访问性，然而目前数据源的分散性和可变性阻碍了数据的高效利用。数据源的分散性和数据格式的多样性往往导致数据检索和处理效率低下，严重阻碍了人工智能研究和应用的进展。为了应对这些挑战，本文介绍了 OpenDataLab，这是一个旨在弥合多样化数据源与统一数据处理需求之间差距的平台。OpenDataLab 整合了广泛的开源人工智能数据集，并通过智能查询和高速下载服务提高了数据采集效率。该平台采用下一代人工智能数据集描述语言（DSDL），实现了多模态和多格式数据的标准化呈现，提高了互操作性和可重用性。此外，OpenDataLab 还通过补充 DSDL 的工具来优化数据处理。通过用统一的数据描述和智能数据工具链整合数据，OpenDataLab 可以将数据准备效率提高 30%。我们预计，OpenDataLab 将极大地推动人工智能（AGI）研究，并促进相关人工智能领域的进步。欲了解更多详细信息，请访问该平台的官方网站：https://opendatalab.com。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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arXiv - CS - Digital Libraries

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