Datasets:
Tasks:
Question Answering
Sub-tasks:
extractive-qa
Languages:
Chinese
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Tags:
License:
| annotations_creators: | |
| - found | |
| language_creators: | |
| - found | |
| languages: | |
| - zh | |
| licenses: | |
| - unknown | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 1K<n<10K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - question-answering | |
| task_ids: | |
| - extractive-qa | |
| # Dataset Card for LiveQA | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-instances) | |
| - [Data Splits](#data-instances) | |
| - [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) | |
| ## 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" | |
| } | |
| ``` | |