Cross Language Q&A (CLQA) dataset collection

research.nii.ac.jpsite

It supports following bi-lingua and mono-lingua:

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Information Retrieval

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2026-10-10

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1. ▲
   Advanced Cross Linugal Information Retrieval and Question Answering (ACLIA) research.nii.ac.jp

   site category #information-retrieval link ↗

   The dataset is used for the task of cross-lingual question answering but the complexity of the task is higher than CLQA dataset.

2. ▲
   CLIR Test Collections research.nii.ac.jp

   site category #information-retrieval link ↗

   This dataset can be used for cross lingual IR between CJKE (Chinese-Japanese-Korean-English) languages. It is suitable for the following tasks:

3. ▲
   TriviaQA nlp.cs.washington.edu

   site category #qa link ↗
4. ▲
   https://unifiedqa.apps.allenai.org/ unifiedqa.apps.allenai.org

   site category #qa link ↗
5. ▲
   LC-QuAD sda.cs.uni-bonn.de

   site category #qa link ↗
6. ▲
   "NewsQA: A Machine Comprehension Dataset" arxiv.org

   site category #qa link ↗

   , Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman, RepL4NLP, 2016.

   

Information Retrieval › Datasets > Standard IR Collections: “It supports following bi-lingua and mono-lingua:”