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Fashion Product Feedback Dataset
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset contains a collection of reviews related to clothing products. It is designed to be a valuable resource for multilabel classification research. Each data entry includes annotated labels, enabling exploration of various aspects of reviewed clothing items. The dataset offers diverse perspectives, supporting the development and evaluation of robust classification models capable of predicting multiple characteristics of a clothing item. Its focus on multilabel classification aids in advancing machine learning applications within the fashion industry.
Columns
- Title: A brief headline or summary given by the reviewer.
- Review: The full textual content of the consumer's feedback on the clothing product.
- Cons_rating: The numerical rating provided by the consumer, typically on a scale (e.g., 1-5).
- Cloth_class: The specific category of the clothing item, such as Dresses, Intimates, Pants, Blouses, Knits, or Outerwear.
- Materials: An indicator (e.g., 0 or 1) signifying whether the review discusses the material quality or type of the clothing item.
- Construction: An indicator (e.g., 0 or 1) signifying whether the review comments on the garment's construction or manufacturing quality.
- Color: An indicator (e.g., 0 or 1) signifying whether the review focuses on the colour or appearance of the clothing item.
- Finishing: An indicator (e.g., 0 or 1) signifying whether the review addresses the finishing details or overall polish of the garment.
- Durability: An indicator (e.g., 0 or 1) signifying whether the review mentions the longevity or sturdiness of the clothing item.
Distribution
The dataset is typically provided in a CSV file format. Specific numbers for rows or records are not currently available. It is structured as a tabular collection of consumer reviews.
Usage
This dataset is ideal for:
- Multilabel classification research and model development.
- Building and evaluating machine learning algorithms to predict multiple attributes of clothing items from review text.
- Natural Language Processing (NLP) tasks, such as sentiment analysis, topic modelling, and feature extraction from consumer reviews.
- Data visualisation projects to understand consumer preferences and pain points in the fashion sector.
- Advancing the application of machine learning in the fashion industry.
Coverage
The dataset's regional coverage is global. It was listed on 11th June 2025. Specific time ranges for the reviews themselves are not detailed. While reviews may contain demographic mentions (e.g., petite sizing, body types), the dataset does not explicitly define demographic scope.
License
CCO
Who Can Use It
- Universities and Colleges: For academic research, particularly in machine learning, NLP, and consumer behaviour studies related to fashion.
- Data Scientists and Machine Learning Engineers: To train and test classification models for product attribute prediction and sentiment analysis.
- Fashion Industry Professionals: To gain insights into customer feedback, identify product strengths and weaknesses, and inform design or marketing strategies.
- Business Analysts: To conduct market research and understand consumer preferences in the clothing sector.
Dataset Name Suggestions
- Consumer Clothing Review Data
- Fashion Product Feedback Dataset
- Garment Customer Reviews
- Multilabel Apparel Review Dataset
- Clothing Item Ratings
Attributes
Original Data Source: Consumer Review of Clothing Product
QUALITY