bigbio/biology_how_why_corpus

---
language:
- en
bigbio_language:
- English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: BiologyHowWhyCorpus
homepage: https://allenai.org/data/biology-how-why-corpus
bigbio_pubmed: False
bigbio_public: True
bigbio_tasks:
- QUESTION_ANSWERING
---

# Dataset Card for BiologyHowWhyCorpus

## Dataset Description

- **Homepage:** https://allenai.org/data/biology-how-why-corpus
- **Pubmed:** False
- **Public:** True
- **Tasks:** QA

This dataset consists of 185 "how" and 193 "why" biology questions authored by a domain expert, with one or more gold
answer passages identified in an undergraduate textbook. The expert was not constrained in any way during the
annotation process, so gold answers might be smaller than a paragraph or span multiple paragraphs. This dataset was
used for the question-answering system described in the paper “Discourse Complements Lexical Semantics for Non-factoid
Answer Reranking” (ACL 2014).

## Citation Information

```
@inproceedings{jansen-etal-2014-discourse,
title = "Discourse Complements Lexical Semantics for Non-factoid Answer Reranking",
author = "Jansen, Peter and
Surdeanu, Mihai and
Clark, Peter",
booktitle = "Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jun,
year = "2014",
address = "Baltimore, Maryland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P14-1092",
doi = "10.3115/v1/P14-1092",
pages = "977--986",
}

```

原始信息汇总

数据集概述

• 名称: BiologyHowWhyCorpus
• 语言: 英语
• 许可证: 未知
• 多语言性: 单语
• 任务: 问答（QA）

数据集详情

• 主页: https://allenai.org/data/biology-how-why-corpus
• 是否公开: 是
• 是否包含Pubmed数据: 否

数据内容

• 包含185个“如何”和193个“为什么”的生物学问题，由领域专家编写。
• 每个问题至少有一个黄金答案段落，这些答案段落来自一本本科生教科书。
• 黄金答案可能短于一个段落或跨越多个段落。

引用信息

@inproceedings{jansen-etal-2014-discourse, title = "Discourse Complements Lexical Semantics for Non-factoid Answer Reranking", author = "Jansen, Peter and Surdeanu, Mihai and Clark, Peter", booktitle = "Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", month = jun, year = "2014", address = "Baltimore, Maryland", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/P14-1092", doi = "10.3115/v1/P14-1092", pages = "977--986", }