OpenDataLab

A high-quality open dataset platform providing data support for large models

ChineseSelectionProductivityOpen DatasetLarge Model

OpenDataLab is an open-source data platform that provides high-quality open datasets to support the training and application of large AI models. With a massive capacity, it includes over 5500 datasets covering 1500+ task types, totaling over 80TB of data and exceeding 1,064,500 downloads. The platform offers 30+ application scenarios, 20+ annotation types, and 5 data types. It supports unified standards for data structure, annotation format, and online visualization, enabling open data sharing and intelligent search. It provides structured data information and visualized annotations and data distribution, making it convenient for users to read and filter. The platform offers fast download services, allowing users to quickly download data from domestic cloud servers without using a VPN.

Provides high-quality open datasets
Supports training and application of large AI models
Includes over 5500 datasets covering 1500+ task types
Total data volume exceeding 80TB
with over 1
064
500 downloads
Offers 30+ application scenarios
20+ annotation types
and 5 data types

OpenDataLab is suitable for AI model training and application scenarios that require massive data support
such as natural language processing
computer vision
and speech recognition.

A natural language processing model requires a large amount of text data for training. It can utilize OpenDataLab's open datasets.
A computer vision model requires a large amount of image data for training. It can utilize OpenDataLab's open datasets.
A speech recognition model requires a large amount of audio data for training. It can utilize OpenDataLab's open datasets.

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