Deep Dive Into Text2Text Feedback Datasets with QA Translation and Summarisation Templates
Gen1 Text2Text datasets in argilla makes the annotation of Text Datasets very easy. Gen2 make it more streamlined, and provides opportunities to further automate the Dataset creation, annotation, followed by extracting the response from the dataset.
We will dive into Summarisation, QA and Translation Feedback Dataset templates. And see how the render on the Argilla Server.
Chapter Navigation:
0:00 Intro
0:20 Purpose of Text2Text DS
0:45 Text2Text Tasks in NLP
2:25 How Text Generation Model is Trained
5:10 Connecting to Argilla Server
5:50 Gen1 Text2Text Dataset
6:40 Annotation with Gen1 Text2Text DS
7:40 Annotating with JSON Output Text
9:25 Intro to Feedback Dataset Templates
11:10 Recap of FeedBack Dataset Parts
11:55 Intro Summarisation Template in FB Dataset
15:35 Annotating FB Dataset in Argilla Server
17:45 Translation Task FB Dataset Instantiation
20:10 Annotating With Translation FB Dataset
20:55 Question Answer Task FB Dataset Instantiation
22:30 Annotating with QA feedback Dataset
23:10 Recap
24:50 Outro
The data and the code is located at
https://github.com/insightbuilder/pyt...
I believe you will like this video, and subscribe to the channel. Further uploads related to Big Data, Large Language models and Artificial Intelligence will be shared to your Youtube Dashboard Directly.
The supporting playlists are
The bard Project
• Google Bard LLM : New AI Model in the...
Practical Projects Playlist
• The Future is Here: Large Language Mo...
Huggingface Playlist
• Mastering NLP with Hugging Face: A Co...
Python Data Engineering Playlist
• Learn to Data Engineer and Problem So...
Python Ecosystem of Libraries
• Mastering the Python Ecosystem: Must-...
ChatGPT and AI Playlist
• Learn about AI Language Models and Re...
AWS and Python AWS Wrangler
• Building a Powerful Data Pipeline wit...
Exploring the Realm of Generative AI: Hardware and Software Discussions
• Exploring the Realm of Generative AI:...
PS: Got a question or have a feedback on my content. Get in touch
By leaving a Comment in the video
topmate.io/insightbuilder?utm_source=topmate&utm_medium=popup&utm_campaign=SocialProfile
@mail [email protected]
@twitter Handle is @KQrios
@medium / about
@github https://github.com/Kamalabot
Смотрите видео Deep Dive Into Text2Text Feedback Datasets with QA Translation and Summarisation Templates онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь Kamalraj M M 04 Апрель 2024, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 47 раз и оно понравилось 1 людям.