five

SocialGrep/the-2022-trucker-strike-on-reddit

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Hugging Face2022-07-01 更新2024-03-04 收录
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https://hf-mirror.com/datasets/SocialGrep/the-2022-trucker-strike-on-reddit
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资源简介:
--- annotations_creators: - lexyr language_creators: - crowdsourced language: - en license: - cc-by-4.0 multilinguality: - monolingual size_categories: - 1M<n<10M source_datasets: - original paperswithcode_id: null --- # Dataset Card for the-2022-trucker-strike-on-reddit ## 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:** [https://socialgrep.com/datasets](https://socialgrep.com/datasets/the-2022-trucker-strike-on-reddit?utm_source=huggingface&utm_medium=link&utm_campaign=the2022truckerstrikeonreddit) - **Point of Contact:** [Website](https://socialgrep.com/contact?utm_source=huggingface&utm_medium=link&utm_campaign=the2022truckerstrikeonreddit) ### Dataset Summary This corpus contains all the comments under the /r/Ottawa convoy megathreads. Comments are annotated with their score. ### Languages Mainly English. ## Dataset Structure ### Data Instances A data point is a Reddit comment. ### Data Fields - 'type': the type of the data point. Can be 'post' or 'comment'. - 'id': the base-36 Reddit ID of the data point. Unique when combined with type. - 'subreddit.id': the base-36 Reddit ID of the data point's host subreddit. Unique. - 'subreddit.name': the human-readable name of the data point's host subreddit. - 'subreddit.nsfw': a boolean marking the data point's host subreddit as NSFW or not. - 'created_utc': a UTC timestamp for the data point. - 'permalink': a reference link to the data point on Reddit. - 'score': score of the data point on Reddit. - 'sentiment': the evaluated sentiment of the data point, if any. - 'body': the text of the data point. ## Dataset Creation ### Curation Rationale [Needs More Information] ### Source Data #### Initial Data Collection and Normalization [Needs More Information] #### Who are the source language producers? [Needs More Information] ### Annotations #### Annotation process [Needs More Information] #### Who are the annotators? [Needs More Information] ### Personal and Sensitive Information [Needs More Information] ## Considerations for Using the Data ### Social Impact of Dataset [Needs More Information] ### Discussion of Biases [Needs More Information] ### Other Known Limitations [Needs More Information] ## Additional Information ### Dataset Curators [Needs More Information] ### Licensing Information CC-BY v4.0 ### Contributions [Needs More Information]
提供机构:
SocialGrep
原始信息汇总

数据集概述

数据集基本信息

  • 名称: the-2022-trucker-strike-on-reddit
  • 语言: 英语
  • 许可证: CC-BY-4.0
  • 多语言性: 单语种
  • 大小: 1M<n<10M
  • 来源: 原始数据

数据集描述

数据集摘要

该数据集包含所有位于/r/Ottawa convoy megathreads下的评论,每个评论都标注了其得分。

支持的任务和排行榜

[未提供]

语言

主要为英语。

数据集结构

数据实例

每个数据点是一个Reddit评论。

数据字段

  • type: 数据点类型,可以是post或comment。
  • id: 数据点的Reddit base-36 ID,与类型组合时唯一。
  • subreddit.id: 数据点所在subreddit的Reddit base-36 ID,唯一。
  • subreddit.name: 数据点所在subreddit的人类可读名称。
  • subreddit.nsfw: 标记数据点所在subreddit是否为NSFW的布尔值。
  • created_utc: 数据点的UTC时间戳。
  • permalink: 数据点在Reddit上的链接。
  • score: 数据点在Reddit上的得分。
  • sentiment: 数据点的评估情感,如果有的话。
  • body: 数据点的文本内容。

数据集创建

数据集理由

[未提供]

源数据

初始数据收集和规范化

[未提供]

源语言生产者

[未提供]

注释

注释过程

[未提供]

注释者

[未提供]

个人和敏感信息

[未提供]

使用数据集的考虑

数据集的社会影响

[未提供]

偏见的讨论

[未提供]

其他已知限制

[未提供]

附加信息

数据集管理者

[未提供]

许可证信息

CC-BY v4.0

贡献

[未提供]

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