Merge branch 'main' of https://huggingface.co/datasets/strombergnlp/nlpcc-stance

README.md

@@ -18,9 +18,10 @@ task_categories:
 - text-classification
 task_ids:
 - text-classification-other-stance-detection
+- sentiment-analysis
 ---
 
-# Dataset Card for "NLPCC Stance"
+# Dataset Card for "NLPCC 2016: Stance Detection in Chinese Microblogs"
 
 ## Table of Contents
 - [Dataset Description](#dataset-description)
@@ -48,7 +49,7 @@ task_ids:
 
 ## Dataset Description
 
-- **Homepage:**
+- **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)
@@ -64,7 +65,7 @@ Some instances of the dataset have been removed, as they were without label.
 
 ### Supported Tasks and Leaderboards
 
-* Stance Detection
+* Stance Detection in Chinese Microblogs
 
 ### Languages
 
@@ -75,42 +76,73 @@ Chinese, as spoken on the Weibo website  (`bcp47:zh`)
 
 ### 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
 

nlpcc_stance.py

@@ -36,7 +36,7 @@ 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. 
 """
 
-_HOMEPAGE = ""
+_HOMEPAGE = "http://tcci.ccf.org.cn/conference/2016/pages/page05_evadata.html"
 
 _LICENSE = "cc-by-4.0"