[Python] How would u generate a Question Answering Dataset from an youtube video?

Title: How to Automatically Generate a Question-Answering Dataset from YouTube Video Transcripts for Model Fine-Tuning?

Body:

I’m working on a project where I need to fine-tune a model using transcripts from specific YouTube videos. However, fine-tuning typically requires a question-answering dataset, and I don’t want to manually create a dataset every time I add new YouTube videos as knowledge.

Here’s what I’ve tried so far:

Extracting transcripts from YouTube videos using tools like youtube-transcript-api.

Manually creating a small Q&A dataset from the transcript for fine-tuning.

The manual process is time-consuming, and I’m looking for a way to automate the generation of a question-answering dataset from the transcripts.

My question is: How can I automatically generate a Q&A dataset from YouTube video transcripts to use for fine-tuning my model? Are there any tools, libraries, or techniques that can help with this?

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