mC4
收藏DataCite Commons2026-01-07 更新2025-04-16 收录
下载链接：
https://service.tib.eu/ldmservice/dataset/4585a108-1553-46fc-a013-be7e5c9a6a2c
下载链接
链接失效反馈官方服务：
资源简介：
Parameter-efficient fine-tuning (PEFT) using labeled task data can significantly improve the performance of large language models (LLMs) on the downstream task. However, there are 7000 languages in the world and many of these languages lack labeled data for real-world language generation tasks.
提供机构：
TIB
创建时间：
2025-01-02
