Motamot: A Dataset for Revealing the Supremacy of Large Language Models over Transformer Models in Bengali Political Sentiment Analysis

The dataset "Motamot" containing 7,058 data points labeled with Positive and Negative sentiments, tailored specifically for Political Sentiment Analysis in the Bengali language. The dataset comprises 4,132 instances labeled as Positive and 2,926 instances labeled as Negative sentiments. Specifics of the Core Data: —------------------------------- Train 5647, Test 706, Validation 705 Train : —------------------------------- Positive: 3306 Negative: 2341 Test : —------------------------------- Positive: 413 Negative: 293 Validation : —------------------------------- Positive: 413 Negative: 292

本数据集名为"Motamot"，共包含7058条数据样本，所有样本均标注有积极（Positive）与消极（Negative）两类情感倾向，专为孟加拉语政治情感分析任务定制。其中标注为积极情感的样本共4132条，标注为消极情感的样本共2926条。核心数据详情如下：
——————————————————
训练集5647条、测试集706条、验证集705条
训练集：——————————————————
积极样本：3306条，消极样本：2341条
测试集：——————————————————
积极样本：413条，消极样本：293条
验证集：——————————————————
积极样本：413条，消极样本：292条