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Create README.md

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  ---
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- dataset_info:
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- features:
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- - name: url
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- dtype: string
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- - name: text
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 13665882
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- num_examples: 2886
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- download_size: 4262370
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- dataset_size: 13665882
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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  ---
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- # Dataset Card for "youtube_scripts"
 
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
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+ license: apache-2.0
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+ task_categories:
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+ - zero-shot-classification
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+ - summarization
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+ language:
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+ - en
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ This dataset collected from various sources,
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+ Once I obtained the urls for youtube videos, I used langchain with YoutubeLoader function to get text of videos.
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+ Source of data: https://github.com/talesmarra/youtube_data_analysis
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+ tasks: summarization, named entity recognition,