granola-entity-questions

B待确认Benchmark

知识问答事实性开放cc-by-nd-4.0

发布方：google

热度20.6▼ 0.2

Hugging Face 论文 arXiv

下载量 · 30天

309

Hugging Face

GitHub Stars

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代码仓库

论文被引

Semantic Scholar

跑分模型 · 30天

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Leaderboard results

简介

GRANOLA Entity Questions Dataset Card Dataset details Dataset Name: GRANOLA-EQ (Granularity of Labels Entity Questions) Paper: Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers Abstract: Factual questions typically can be answered correctly at different levels of granularity. For example, both "August 4, 1961" and "1961" are correct answers to the question "When was Barack Obama born?"". Standard question answering (QA)… See the full description on the dataset page: https://huggingface.co/datasets/google/granola-entity-questions.