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SituatedQA Dataset
This is a Context-Dependent Question Answering dataset, sourced from open-retrieval QA: Natural Questions, WebQuestions, TyDi-QA and MS-MARCO.
All of these datasets are in English and contain questions that are answerable by Wikipedia documents.
Question-context-answer triplets:
- Temp (train: 6009, dev: 3423, test: 2795)
- Geo (train: 3548, dev: 1398, test: 505).
Source
Please refer to github repo for source data.
Use
from datasets import load_dataset
dataset = load_dataset("siyue/SituatedQA","temp","train")
Example:
{
"question": "where will the next summer and winter olympics be held",
"id": "2098168902147822379",
"edited_question": "where will the next summer and winter olympics be held as of 2021",
"date": "2021",
"date_type": "sampled_year",
"answer": ["Japan and China"],
"any_answer": ["Brazil and S. Korea", "Japan and China"]
}
Contact
For any issues or questions, kindly email us at: Siyue Zhang (siyue001@e.ntu.edu.sg).
Citation
@article{ zhang2021situatedqa,
title={ {S}ituated{QA}: Incorporating Extra-Linguistic Contexts into {QA} },
author={ Zhang, Michael J.Q. and Choi, Eunsol },
journal={ Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) },
year={ 2021 }
}
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