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Results of MTurkers coding a curated collection of comments.

Figshare2025-08-20 更新2026-04-28 收录

众包文本标注

人工数据编码

数据链接：

https://figshare.com/articles/dataset/Results_of_MTurkers_coding_a_curated_collection_of_comments_/29952174 数据链接链接失效反馈

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资源简介：

Results of MTurkers coding a curated collection of comments.

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创建时间：

2025-08-20

众包文本标注

方言分析

--- dataset_info: features: - name: id dtype: string - name: text dtype: string - name: source dtype: string - name: chunk dtype: int64 - name: topic dtype: string -

Hugging Face2026-05-27 更新20

Wikipedia Talk Labels: Aggression

网络言论攻击性检测

众包文本标注

This data set includes over 100k labeled discussion comments from English Wikipedia. Each comment was labeled by multiple annotators via Crowdflower on whether it has aggressive tone. We also include

Figshare2017-02-22 更新10

Amazon Mechanical Turk: Sentence annotation experiments

众包文本标注

句子评分评估

This data collection consists of two .csv files containing lists of sentences with individual and mean sentence ratings (crowd sourced judgements) on three modes of...

B2FIND10

OSDG Community Dataset (OSDG-CD)

可持续发展目标（SDG）文本分类

众包文本标注

The OSDG Community Dataset (OSDG-CD) is a public dataset of thousands of text excerpts, which were validated by approximately 1,000 OSDG Community Platform (OSDG-CP)

Zenodo2024-01-29 更新20

Crowd_Based_用户需求在线反馈众包标注结果数据

需求分类

众包文本标注

本数据集为Figure Eight平台开展的众包标注实验结果，来源于REFSQ 2020发表的论文研究。核心内容是对在线反馈中的用户需求进行识别与分类的标注数据，可用于需求工程领域的模型训练与验证，仅包含一个压缩文件。论文“Identifying and Classifying User Requirements in Online Feedback via Crowdsourcing”（REF

海数据10

Results of MTurkers coding a curated collection of comments.

资源简介：

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