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Sachinkelenjaguri/sentiment_classification

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Hugging Face2023-05-03 更新2024-05-25 收录
下载链接:
https://hf-mirror.com/datasets/Sachinkelenjaguri/sentiment_classification
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资源简介:
该数据集是用于项目sachin-test-summarizer的AutoTrain自动处理数据集,主要用于文本分类任务。数据集包含两个字段:text(文本内容)和target(分类标签)。数据集被分为训练集和验证集,分别包含1000和320个样本。数据集的BCP-47语言代码为unk,表示语言未知。
提供机构:
Sachinkelenjaguri
原始信息汇总

AutoTrain Dataset for project: sachin-test-summarizer

数据集描述

该数据集由AutoTrain自动处理,用于项目sachin-test-summarizer。

语言

数据集的语言BCP-47代码为unk。

数据集结构

数据实例

数据集的一个样本如下:

json [ { "text": "u2212 Scope 3: Optional scope that includes indirect emissions associated with the goods and services supply chain produced outside the organization. Included are emissions from the transport of products from our logistics centres to stores (downstream) performed by external logistics operators (air, land and sea transport) as well as the emissions associated with electricity consumption in franchise stores.", "target": 1 }, { "text": "The Group is not aware of any noise pollution that could negatively impact the environment, nor is it aware of any impact on biodiversity. With regards to land use, the Group is only a commercial user, and the Group is not aware of any local constraints with regards to water supply. The Group does not believe that it is at risk with regards to climate change in the near-or mid-term.", "target": 0 } ]

数据字段

数据集包含以下字段(也称为“特征”):

json { "text": "Value(dtype=string, id=None)", "target": "ClassLabel(names=[0, 1, 2], id=None)" }

数据集分割

该数据集分为训练集和验证集。分割大小如下:

分割名称 样本数量
train 1000
valid 320
5,000+
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