KILT Dataset
收藏paperswithcode.com2025-03-23 收录
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资源简介：
KILT (Knowledge Intensive Language Tasks) is a benchmark consisting of 11 datasets representing 5 types of tasks:
Fact-checking (FEVER),
Entity linking (AIDA CoNLL-YAGO, WNED-WIKI, WNED-CWEB),
Slot filling (T-Rex, Zero Shot RE),
Open domain QA (Natural Questions, HotpotQA, TriviaQA, ELI5),
Dialog generation (Wizard of Wikipedia).
All these datasets have been grounded in a single pre-processed wikipedia snapshot, allowing for fairer and more consistent evaluation as well as enabling new task setups such as multitask and transfer learning.
KILT（知识密集型语言任务）是一个由11个数据集组成的基准测试，涵盖了5种类型的任务：事实核查（FEVER）、实体链接（AIDA CoNLL-YAGO、WNED-WIKI、WNED-CWEB）、槽填充（T-Rex、Zero Shot RE）、开放域问答（Natural Questions、HotpotQA、TriviaQA、ELI5）以及对话生成（Wikipedia巫师）。所有这些数据集均基于单一预处理过的维基百科快照进行构建，这有利于实现更加公平和一致的评估，同时亦促进了诸如多任务学习和迁移学习等新型任务设置的发展。
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