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README.md
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tags:
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- sports
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- travel
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tags:
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- sports
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- travel
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---
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# AI21 Hotels and WorldCup dataset cards
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The **AI21-Hotels** and **AI21-WorldCup** datasets were created to support research on *aggregative question answering* in open-book settings.
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Aggregative questions require retrieving information from a large set of documents and applying reasoning over the collected text snippets.
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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.
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Instead, one must gather the goals scored in each tournament and then reason to identify the minimum.
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These datasets were first introduced in the paper “Structured RAG for Answering Aggregative Questions,” which describes their design and construction in detail.
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## AI21-Hotels dataset
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The **AI21-Hotels** dataset was automatically generated, with booking-like hotel pages, paired with aggregative queries.
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The train set (in folder ai21-Hotels-train) includes 50 pages, and 138 queries.
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The evaluation set (in folder ai21-Hotels-eval) includes 350 pages, and 193 queries.
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## AI21-WorldCup dataset
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The **AI21-WorldCup** dataset consists of 22 Wikipedia pages, each corresponding to one WorldCup tournament held between 1930 and 2022,
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and 88 automatically generated aggregative queries.
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To increase the difficulty, the main statistics table was removed from each document.
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Because there are only 22 tournaments in total, the dataset is provided as a single collection without separate training and evaluation splits.
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| Dataset | Split | # Docs | # Queries | Avg. Tokens / Doc |
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| -------- |-------| ------ | --------- |-------------------|
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| Hotels | Train | 50 | 138 | 592 |
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| Hotels | Eval | 350 | 193 | 596 |
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| WorldCup | --- | 22 | 88 | 18881 |
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## Languages
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English
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## License
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Datasets are released under the MIT license.
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## Citation
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