In this paper, we propose the 1 Trillion Token Platform (1TT Platform), a novel framework designed to facilitate efficient data sharing with a transparent and equitable profit-sharing mechanism. The platform fosters collaboration between data contributors, who provide otherwise non-disclosed datasets, and a data consumer, who utilizes these datasets to enhance their own services. Data contributors are compensated in monetary terms, receiving a share of the revenue generated by the services of the data consumer. The data consumer is committed to sharing a portion of the revenue with contributors, according to predefined profit-sharing arrangements. By incorporating a transparent profit-sharing paradigm to incentivize large-scale data sharing, the 1TT Platform creates a collaborative environment to drive the advancement of NLP and LLM technologies.

本研究解决了大语言模型中数据共享不透明和补偿机制不足的问题。提出的一万亿令牌平台通过透明的利润分享机制，促进数据贡献者与数据消费者之间的合作，确保贡献者根据预定义的协议获得合理的收入分配。该平台的显著发现是，通过激励大规模数据共享，推动了自然语言处理和大型语言模型技术的发展。

一万亿令牌平台：高效数据共享与补偿的新框架