TyDi QA
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
下载链接：
https://service.tib.eu/ldmservice/dataset/3e27b885-17e4-4235-a122-2a7ccd72c336
下载链接
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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：
2024-12-02
