Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
sentiment-analysis
Languages:
Chinese
Size:
1K - 10K
Tags:
stance-detection
License:
add some metadata
Browse files
README.md
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---
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annotations_creators:
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- expert-generated
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language_creators:
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- found
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languages:
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- zh
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licenses:
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- cc-by-4.0
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multilinguality:
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- monolingual
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pretty_name: NLPCC Stance
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size_categories:
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- 1K<n<10K
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source_datasets:
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- original
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task_categories:
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- text-classification
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task_ids:
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- text-classification-other-stance-detection
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---
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# Dataset Card for "NLPCC Stance"
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **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)
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- **Point of Contact:** [Mads Kongsback](https://github.com/mkonxd)
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- **Size of downloaded dataset files:**
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- **Size of the generated dataset:**
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- **Total amount of disk used:**
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### Dataset Summary
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This is a stance prediction dataset in Chinese.
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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.
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### Supported Tasks and Leaderboards
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* Stance Detection
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### Languages
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Chinese, as spoken on the Weibo website (`bcp47:zh`)
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## Dataset Structure
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### Data Instances
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### Data Fields
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### Data Splits
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## Dataset Creation
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### Curation Rationale
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### Source Data
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#### Initial Data Collection and Normalization
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#### Who are the source language producers?
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### Annotations
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#### Annotation process
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#### Who are the annotators?
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### Personal and Sensitive Information
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## Considerations for Using the Data
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### Social Impact of Dataset
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### Discussion of Biases
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### Other Known Limitations
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## Additional Information
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### Dataset Curators
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The dataset is curated by the paper's authors.
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### Licensing Information
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The authors distribute this data under Creative Commons attribution license, CC-BY 4.0.
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### Citation Information
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```
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@incollection{xu2016overview,
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title={Overview of nlpcc shared task 4: Stance detection in chinese microblogs},
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author={Xu, Ruifeng and Zhou, Yu and Wu, Dongyin and Gui, Lin and Du, Jiachen and Xue, Yun},
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booktitle={Natural language understanding and intelligent applications},
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pages={907--916},
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year={2016},
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publisher={Springer}
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}
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```
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### Contributions
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Added by [@mkonxd](https://github.com/mkonxd), [@leondz](https://github.com/leondz)
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