metadata

license: mit
tags:
  - infinite-dataset-hub
  - synthetic

AspectSentimentRunningShoes

tags: Aspect-Based Sentiment Analysis, Running Shoes, Sentiment Analysis

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'AspectSentimentRunningShoes' dataset contains customer reviews for running shoes, specifically focusing on the aspects of comfort, size, and design. Each row represents a review and includes the customer's sentiment towards these aspects, labeled as Positive, Negative, or Neutral. The dataset is intended for aspect-based sentiment analysis to help retailers and manufacturers understand customer satisfaction related to these specific features of running shoes.

CSV Content Preview:

ReviewID,Sentence,Aspect,Label
001,"The comfort of these running shoes is unmatched; I can run all day without feeling any pain!",Comfort,Positive
002,"Size was perfect, my feet fit comfortably in the shoes.",Size,Positive
003,"Design is sleek and modern, but I don't like the color options available.",Design,Neutral
004,"These shoes are too heavy and make my feet tired quickly.",Comfort,Negative
005,"Great size, but the design feels outdated.",Design,Negative
006,"I love how the shoes feel, but they're a bit too large.",Size,Negative
007,"The color variety is amazing, and they're very comfortable.",Comfort,Positive
008,"Fit is perfect, and the shoes look great on me!",Design,Positive
009,"The shoes are okay, but I expected better quality for the price.",Comfort,Neutral
010,"Size was slightly off, but design is impressive and holds my foot securely.",Design,Positive

Each review has been tagged with sentiment towards the specified aspects of the running shoes. This labeled data can be used for training machine learning models to automatically extract and understand the sentiments of customers regarding comfort, size, and design of running shoes.

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'Running shoes dataset, Aspect based sentiment analysis on running shoes (comfort, size, design)':