google/granola-entity-questions
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… See the full description on the dataset page: https://huggingface.co/datasets/google/granola-entity-questions.
| Author / organization | |
|---|---|
| License (as declared) | cc-by-nd-4.0 |
| Downloads | 134 (as reported by Hugging Face) |
| Likes | 12 |
| Created | 29 July 2024 |
| Last updated at source | 1 August 2024 |
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- 16 Oct 2026 Description: 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: F → 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: F
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