Datasets:
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README.md
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### Sentence Similarity Analysis
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- **Model Application**: The pre-trained Sentence Transformer model 'all-MiniLM-L6-v2' was used.
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- **Sentence Comparison**: Identified the most similar sentence to each product name within the cleaned product descriptions.
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- **Integration of Results**: Added the most similar sentences as a new column 'Most_Similar_Sentence'.
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### Dataset Refinement
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- **Column Selection**: Retained relevant columns for final dataset.
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- **Image URL Processing**: Split multiple image URLs into individual URLs, removing specific unwanted URLs.
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- **Column Renaming**: Renamed 'Most_Similar_Sentence' to 'Description'.
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### Image Validation
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- **Image URL Validation**: Implemented a function to verify the validity of each image URL.
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### Sentence Similarity Analysis
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| 63 |
- **Model Application**: The pre-trained Sentence Transformer model 'all-MiniLM-L6-v2' was used.
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| 64 |
- **Sentence Comparison**: Identified the most similar sentence to each product name within the cleaned product descriptions.
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### Dataset Refinement
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- **Column Selection**: Retained relevant columns for final dataset.
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- **Image URL Processing**: Split multiple image URLs into individual URLs, removing specific unwanted URLs.
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### Image Validation
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- **Image URL Validation**: Implemented a function to verify the validity of each image URL.
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