Datasets:
liveqa

	---
	annotations_creators:
	- found
	language_creators:
	- found
	language:
	- zh
	license:
	- unknown
	multilinguality:
	- monolingual
	size_categories:
	- 1K<n<10K
	source_datasets:
	- original
	task_categories:
	- question-answering
	task_ids:
	- extractive-qa
	paperswithcode_id: liveqa
	pretty_name: LiveQA
	dataset_info:
	features:
	- name: id
	dtype: int64
	- name: passages
	sequence:
	- name: is_question
	dtype: bool
	- name: text
	dtype: string
	- name: candidate1
	dtype: string
	- name: candidate2
	dtype: string
	- name: answer
	dtype: string
	splits:
	- name: train
	num_bytes: 112187507
	num_examples: 1670
	download_size: 114704569
	dataset_size: 112187507
	---

	# Dataset Card for LiveQA

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: [Github](https://github.com/PKU-TANGENT/LiveQA)
	- Repository: [Github](https://github.com/PKU-TANGENT/LiveQA)
	- Paper: [Liu et al., 2020](https://www.aclweb.org/anthology/2020.ccl-1.98.pdf)
	- Leaderboard: N/A
	- Point of Contact: Qianying Liu

	### Dataset Summary
	The LiveQA dataset is a Chinese question-answering resource constructed from playby-play live broadcasts. It contains 117k multiple-choice questions written by human commentators for over 1,670 NBA games, which are collected from the Chinese Hupu website.

	### Supported Tasks and Leaderboards
	Question Answering.

	[More Information Needed]

	### Languages
	Chinese.

	## Dataset Structure

	### Data Instances
	Each instance represents a timeline (i.e., a game) with an identifier. The passages field comprise an array of text or question segments. In the following truncated example, user comments about the game is followed by a question about which team will be the first to reach 60 points.
	```python
	{

	'id': 1,
	'passages': [
	{
	"is_question": False,
	"text": "'我希望两位球员都能做到！！",
	"candidate1": "",
	"candidate2": "",
	"answer": "",
	},
	{
	"is_question": False,
	"text": "新年给我们送上精彩比赛！",
	"candidate1": "",
	"candidate2": "",
	"answer": "",
	},
	{
	"is_question": True,
	"text": "先达到60分？",
	"candidate1": "火箭",
	"candidate2": "勇士",
	"answer": "勇士",
	},
	{
	"is_question": False,
	"text": "自己急停跳投！！！",
	"candidate1": "",
	"candidate2": "",
	"answer": "",
	}
	]
	}
	```

	### Data Fields
	- id: identifier for the game
	- passages: collection of text/question segments
	- text: real-time text comment or binary question related to the context
	- candidate1/2: one of the two answer options to the question
	- answer: correct answer to the question in text

	### Data Splits
	There is no predefined split in this dataset.

	## Dataset Creation

	### Curation Rationale

	[More Information Needed]

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed]

	#### Who are the source language producers?

	[More Information Needed]

	### Annotations

	#### Annotation process

	[More Information Needed]

	#### Who are the annotators?

	[More Information Needed]

	### Personal and Sensitive Information

	[More Information Needed]

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed]

	### Discussion of Biases

	[More Information Needed]

	### Other Known Limitations

	[More Information Needed]

	## Additional Information

	### Dataset Curators

	[More Information Needed]

	### Licensing Information

	[More Information Needed]

	### Citation Information
	This resource is developed by [Liu et al., 2020](https://www.aclweb.org/anthology/2020.ccl-1.98.pdf).
	```
	@inproceedings{qianying-etal-2020-liveqa,
	title = "{L}ive{QA}: A Question Answering Dataset over Sports Live",
	author = "Qianying, Liu and
	Sicong, Jiang and
	Yizhong, Wang and
	Sujian, Li",
	booktitle = "Proceedings of the 19th Chinese National Conference on Computational Linguistics",
	month = oct,
	year = "2020",
	address = "Haikou, China",
	publisher = "Chinese Information Processing Society of China",
	url = "https://www.aclweb.org/anthology/2020.ccl-1.98",
	pages = "1057--1067"
	}
	```

	### Contributions

	Thanks to [@j-chim](https://github.com/j-chim) for adding this dataset.