Upload README.md with huggingface_hub
Browse files
README.md
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
tags:
|
| 4 |
+
- infinite-dataset-hub
|
| 5 |
+
- synthetic
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# AspectSentimentRunningShoes
|
| 9 |
+
|
| 10 |
+
tags: Aspect-Based Sentiment Analysis, Running Shoes, Sentiment Analysis
|
| 11 |
+
|
| 12 |
+
_Note: This is an AI-generated dataset so its content may be inaccurate or false_
|
| 13 |
+
|
| 14 |
+
**Dataset Description:**
|
| 15 |
+
|
| 16 |
+
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.
|
| 17 |
+
|
| 18 |
+
**CSV Content Preview:**
|
| 19 |
+
|
| 20 |
+
```
|
| 21 |
+
ReviewID,Sentence,Aspect,Label
|
| 22 |
+
001,"The comfort of these running shoes is unmatched; I can run all day without feeling any pain!",Comfort,Positive
|
| 23 |
+
002,"Size was perfect, my feet fit comfortably in the shoes.",Size,Positive
|
| 24 |
+
003,"Design is sleek and modern, but I don't like the color options available.",Design,Neutral
|
| 25 |
+
004,"These shoes are too heavy and make my feet tired quickly.",Comfort,Negative
|
| 26 |
+
005,"Great size, but the design feels outdated.",Design,Negative
|
| 27 |
+
006,"I love how the shoes feel, but they're a bit too large.",Size,Negative
|
| 28 |
+
007,"The color variety is amazing, and they're very comfortable.",Comfort,Positive
|
| 29 |
+
008,"Fit is perfect, and the shoes look great on me!",Design,Positive
|
| 30 |
+
009,"The shoes are okay, but I expected better quality for the price.",Comfort,Neutral
|
| 31 |
+
010,"Size was slightly off, but design is impressive and holds my foot securely.",Design,Positive
|
| 32 |
+
```
|
| 33 |
+
|
| 34 |
+
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.
|
| 35 |
+
|
| 36 |
+
**Source of the data:**
|
| 37 |
+
|
| 38 |
+
The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/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)':
|
| 39 |
+
|
| 40 |
+
- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=Running+shoes+dataset,+Aspect+based+sentiment+analysis+on+running+shoes+(comfort,+size,+design)&dataset=AspectSentimentRunningShoes&tags=Aspect-Based+Sentiment+Analysis,+Running+Shoes,+Sentiment+Analysis
|
| 41 |
+
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
|
| 42 |
+
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
|