| | --- |
| | 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. |
| |
|
