1. Introduction to Solution Talk
In order to help developers better understand the AI large model corpus data released by the Large Model Corpus Data Alliance, and communicate the needs of large model enterprises from the perspective of AI To meet data needs and continuously serve the large-scale model industry ecology and practical applications, the alliance initiator Shanghai Artificial Intelligence Laboratory and member units jointly created the "Solution Talk" series of live broadcasts .
At 19:00 on Wednesday, December 13th, the first live broadcast of "Solution Talk" will be held, which will interpret the data of "Honey Nest·Pollen 1.0" Collection and"International Arbitration Law, Rules and Practice"data set. For more live broadcasts to follow, please stay tuned to OpenDataLab.
The two data sets explained this time have been put on the OpenDataLab platform. Welcome to visit thehttp://opendatalab.org.cn website View and download.
● The first exciting preview
The first online live broadcast event, specially invited alliance member unitsShanghai MiduandExperts from the Shanghai Arbitration Commission will give you an in-depth explanation of the two high-quality data sets "Honey Nest·Pollen 1.0" that have been released as open source and “International Arbitration Law, Rules and Practice Dataset.”
Everyone is welcome to watch at 19:00 on December 13thyiou.comLive broadcast
Data set download Link:
Honey Nest·Pollen 1.0: https://opendatalab.org.cn/OpenDataLab/MiChao
International Arbitration Laws, rules and practices data set:https://opendatalab.org.cn/OpenDataLab/International-Arbitration-Dataset
If you have any data cooperation needs, please send us a private message to communicate.
2. Introduction to the Alliance
In order to meet the demand for high-quality, large-scale, safe and trustworthy corpus data resources in the development of large models, the Shanghai Artificial Intelligence Laboratory, China Central Radio and Television and People's Daily Online , the National Meteorological Center, the China Institute of Scientific and Technological Information, the Shanghai Graphic Industry Group and other units jointly initiated the establishment of the Large Model Corpus Data Alliance. The alliance aims to jointly promote the construction of high-level corpus data elements by linking model training, data supply, academic research, third-party services and other institutions. At present, the alliance has carried out activities such as the "Number Search Project" and the Alliance Open Day, and has carried out in-depth exchanges and cooperation with member units in the field of large model corpus data.
