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README.md

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-license: mit
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+---# RideSearch Dataset
+
+## Overview
+RideSearch is a custom dataset created for a vehicle recommendation system.  
+It contains structured information about different car models, trims, years, and countries of origin, designed to support a search and recommendation application.
+
+## Dataset Structure
+- **Modality:** Tabular
+- **Rows:** 1,250
+- **Columns:**
+  - `name`: Car make and model
+  - `model`: Model name
+  - `trim`: Trim or edition
+  - `year`: Year of manufacture
+  - `origin_country`: Country where the car was manufactured
+  - Additional attributes for filtering and similarity search.
+
+## Purpose
+The dataset was built to power the RideSearch Hugging Face app, which allows users to find similar vehicles based on their selected input.  
+It is intended for educational purposes as part of a university AI application project.
+
+## Usage
+1. Input a car from the dataset into the RideSearch app.
+2. The system returns the top 3 most similar vehicles based on attributes.
+3. Designed for embedding-based similarity search.
+
+## License
+MITlicense: mit
+---