Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
sentiment-analysis
Languages:
Chinese
Size:
1K - 10K
Tags:
stance-detection
License:
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - found | |
| language: | |
| - zh | |
| license: | |
| - cc-by-4.0 | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 1K<n<10K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - sentiment-analysis | |
| pretty_name: NLPCC Stance | |
| tags: | |
| - stance-detection | |
| # Dataset Card for "NLPCC 2016: Stance Detection in Chinese Microblogs" | |
| ## 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:** [http://tcci.ccf.org.cn/conference/2016/pages/page05_evadata.html](http://tcci.ccf.org.cn/conference/2016/pages/page05_evadata.html) | |
| - **Repository:** | |
| - **Paper:** [https://link.springer.com/chapter/10.1007/978-3-319-50496-4_85](https://link.springer.com/chapter/10.1007/978-3-319-50496-4_85) | |
| - **Point of Contact:** [Mads Kongsback](https://github.com/mkonxd) | |
| - **Size of downloaded dataset files:** | |
| - **Size of the generated dataset:** | |
| - **Total amount of disk used:** | |
| ### Dataset Summary | |
| This is a stance prediction dataset in Chinese. | |
| The data is that from a shared task, stance detection in Chinese microblogs, in NLPCC-ICCPOL 2016. It covers Task A, a mandatory supervised task which detects stance towards five targets of interest with given labeled data. | |
| Some instances of the dataset have been removed, as they were without label. | |
| ### Supported Tasks and Leaderboards | |
| * Stance Detection in Chinese Microblogs | |
| ### Languages | |
| Chinese, as spoken on the Weibo website (`bcp47:zh`) | |
| ## Dataset Structure | |
| ### Data Instances | |
| Example instance: | |
| ``` | |
| { | |
| 'id': '0', | |
| 'target': 'IphoneSE', | |
| 'text': '3月31日，苹果iPhone SE正式开卖，然而这款小屏新机并未出现人们预想的疯抢局面。根据市场分析机构Localytics周一公布的数据，iPhone SE正式上市的这个周末，销量成绩并不算太好。', | |
| 'stance': 2 | |
| } | |
| ``` | |
| ### Data Fields | |
| * id: a `string` field with a unique id for the instance | |
| * target: a `string` representing the target of the stance | |
| * text: a `string` of the stance-bearing text | |
| * stance: an `int` representing class label -- `0`: AGAINST; `1`: FAVOR; `2`: NONE. | |
| ### Data Splits | |
| The training split has 2986 instances | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| The goal was to create a dataset of microblog text annotated for stance. Six stance targets were selected and data was collected from Sina Weibo for annotation. | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| Not specified | |
| #### Who are the source language producers? | |
| Sina Weibo users | |
| ### Annotations | |
| #### Annotation process | |
| The stance of each target-microblog pair is duplicated annotated by two students | |
| individually. If these two students provide the same annotation, the stance of this | |
| microblog-target pair is then labeled. If the different annotation is detected, the third | |
| student will be assigned to annotate this pair. Their annotation results will be voted to | |
| obtain the final label. | |
| #### Who are the annotators? | |
| Students in China | |
| ### Personal and Sensitive Information | |
| No reflections | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| The data preserves social media utterances verbatim and so has obviated any right to be forgotten, though usernames and post IDs are not explicitly included in the data. | |
| ### Discussion of Biases | |
| There'll be at least a temporal and regional bias to this data, as well as it only representing expressions of stance on six topics. | |
| ### Other Known Limitations | |
| ## Additional Information | |
| ### Dataset Curators | |
| The dataset is curated by the paper's authors. | |
| ### Licensing Information | |
| The authors distribute this data under Creative Commons attribution license, CC-BY 4.0. | |
| ### Citation Information | |
| ``` | |
| @incollection{xu2016overview, | |
| title={Overview of nlpcc shared task 4: Stance detection in chinese microblogs}, | |
| author={Xu, Ruifeng and Zhou, Yu and Wu, Dongyin and Gui, Lin and Du, Jiachen and Xue, Yun}, | |
| booktitle={Natural language understanding and intelligent applications}, | |
| pages={907--916}, | |
| year={2016}, | |
| publisher={Springer} | |
| } | |
| ``` | |
| ### Contributions | |
| Added by [@mkonxd](https://github.com/mkonxd), [@leondz](https://github.com/leondz) | |