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--- |
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language: |
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- en |
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license: apache-2.0 |
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size_categories: |
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- 1M<n<10M |
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task_categories: |
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- summarization |
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- text2text-generation |
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task_ids: [] |
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tags: |
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- conditional-text-generation |
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--- |
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# About Dataset |
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The dataset consists of data from a bunch of youtube videos ranging from videos from fastai lessons, FSDL lesson to random videos teaching something. |
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In total this dataset contains 600 chapter markers in youtube and contains 25, 000 lesson transcript. |
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This dataset can be used for NLP tasks like summarization, topic segmentation etc. You can refer to some of the models we have trained with this dataset |
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in [github repo link](https://github.com/ohmeow/fsdl_2022_course_project) for Full stack deep learning 2022 projects. |
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