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