
# 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.

task_categories:summarization task_categories:text2text-generation size_categories:1M<n<10M language:en license:apache-2.0 conditional-text-generation region:us
{"language": ["en"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["summarization", "text2text-generation"], "task_ids": [], "tags": ["conditional-text-generation"]}
TAGS
#task_categories-summarization #task_categories-text2text-generation #size_categories-1M<n<10M #language-English #license-apache-2.0 #conditional-text-generation #region-us 


# 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 for Full stack deep learning 2022 projects.

# 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 for Full stack deep learning 2022 projects.
TAGS
#task_categories-summarization #task_categories-text2text-generation #size_categories-1M<n<10M #language-English #license-apache-2.0 #conditional-text-generation #region-us 
 # 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 for Full stack deep learning 2022 projects.
passage: TAGS
#task_categories-summarization #task_categories-text2text-generation #size_categories-1M<n<10M #language-English #license-apache-2.0 #conditional-text-generation #region-us 
# 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 for Full stack deep learning 2022 projects.