argilla/end2end_textclassification

该数据集使用Argilla创建，包含文本字段和问题，供标注者将文本分类为World、Sports、Business和Sci/Tech等类别。数据集还包括建议、元数据和标注指南。数据集结构、数据实例和字段在README中有详细描述。然而，一些部分如Curation Rationale、Source Data、Annotations和Considerations for Using the Data缺乏详细信息。

原始信息汇总

数据集概述

数据集名称

• 名称: end2end_textclassification

数据集大小

• 大小: 1K<n<10K

标签

• 标签: rlfh, argilla, human-feedback

数据集加载

使用Argilla加载

• 安装命令: pip install argilla --upgrade
• 加载代码: python import argilla as rg ds = rg.FeedbackDataset.from_huggingface("argilla/end2end_textclassification")

使用datasets库加载

• 安装命令: pip install datasets --upgrade
• 加载代码: python from datasets import load_dataset ds = load_dataset("argilla/end2end_textclassification")

数据集结构

数据字段

• 文本字段: text (类型: text)
• 问题字段: label (类型: label_selection, 允许值: [World, Sports, Business, Sci/Tech])

数据实例

• Argilla格式: json { "external_id": "record-0", "fields": { "text": "Wall St. Bears Claw Back Into the Black (Reuters) Reuters - Short-sellers, Wall Streetu0027s dwindling\band of ultra-cynics, are seeing green again." }, "metadata": {}, "responses": [], "suggestions": [], "vectors": {} }

• HuggingFace datasets格式: json { "external_id": "record-0", "label": [], "label-suggestion": null, "label-suggestion-metadata": { "agent": null, "score": null, "type": null }, "metadata": "{}", "text": "Wall St. Bears Claw Back Into the Black (Reuters) Reuters - Short-sellers, Wall Streetu0027s dwindling\band of ultra-cynics, are seeing green again." }

数据分割

• 分割: train