Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Size:
10K - 100K
License:
lenglaender
commited on
Update paper link to ACL publication
Browse files
README.md
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M2QA (Multi-domain Multilingual Question Answering) is an extractive question answering benchmark for evaluating joint language and domain transfer. M2QA includes 13,500 SQuAD 2.0-style question-answer instances in German, Turkish, and Chinese for the domains of product reviews, news, and creative writing.
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This Hugging Face datasets repo accompanies our paper "[M2QA: Multi-domain Multilingual Question Answering](https://
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Loading & Decrypting the Dataset
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M2QA (Multi-domain Multilingual Question Answering) is an extractive question answering benchmark for evaluating joint language and domain transfer. M2QA includes 13,500 SQuAD 2.0-style question-answer instances in German, Turkish, and Chinese for the domains of product reviews, news, and creative writing.
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This Hugging Face datasets repo accompanies our paper "[M2QA: Multi-domain Multilingual Question Answering](https://aclanthology.org/2024.findings-emnlp.365/)". If you want an explanation and code to reproduce all our results or want to use our custom-built annotation platform, have a look at our GitHub repository: [https://github.com/UKPLab/m2qa](https://github.com/UKPLab/m2qa)
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Loading & Decrypting the Dataset
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