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Assignment 2 – Semantic Video Retrieval
Name:Shivangi Srivastava
UCID: ss5554
Overview
This project builds a semantic retrieval index for video transcript segments. Each transcript segment is converted into a vector embedding and stored in Parquet format for efficient retrieval.
Dataset Schema
Each row contains:
- video_id: unique video identifier
- segment_id: segment index
- start_time: segment start timestamp
- end_time: segment end timestamp
- text: transcript text
- embedding: vector representation of the segment
Methodology
- Extract transcript segments
- Generate embeddings
- Store structured data in Parquet format
- Upload dataset to Hugging Face
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