ai21labs/aggregative_questions
AI21-Hotels and AI21-WorldCup datasets The AI21-Hotels and AI21-WorldCup datasets were created to support research on aggregative question answering in open-book settings. Aggregative questions require retrieving information from a large set of documents and applying reasoning over the collected text snippets. For example, the question “What is the fewest number of total goals scored in any single World Cup?” cannot usually be answered by a single passage. Instead, one must… See the full description on the dataset page: https://huggingface.co/datasets/ai21labs/aggregative_questions.
| Author / organization | ai21labs |
|---|---|
| License (as declared) | mit |
| Downloads | 213 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 9 October 2025 |
| Last updated at source | 18 November 2025 |
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213 now (+2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 16 Oct 2026 Description: AI21-Hotels and AI21-WorldCup datasets The AI21-Hotels and AI21-WorldCup datasets were created to support research on aggregative question answering in open-book settings. Aggregative questions require retrieving information from a large se → AI21-Hotels and AI21-WorldCup datasets The AI21-Hotels and AI21-WorldCup datasets were created to support research on aggregative question answering in open-book settings. Aggregative questions require retrieving information from a large se
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