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