Deep Dive Into Argilla Datasets For Text Classification : Feedback Dataset Also Discussed

Deep dive into Gen1 and Gen2 Text classification datasets in Argilla. Provides the background purpose, and the arguments required for creating the dataset and pushing to argilla server. It also shows how the annotators will look at the datapoints, and how they will annotate the dataset.
Chapter Navigation:
0:00 Intro
0:15 Purpose textclassify DS & Model
0:55 How Model is Trained
1:45 Where TextClassification DS Sits
2:15 Code Walkthrough and Setting Python Client
4:05 Gen 1 TextClassification Dataset
5:25 Settings & Configuration of TC Dataset
6:45 Pushing TC Records To Dataset
11:30 Multi Label Text Classification Settings
13:04 Pushing Multi Label Record to Argilla
14:20 FeedBack Dataset Arguments & Templates
15:30 Feedback Dataset Code Walkthrough
18:50 Creating Feedback Record Dataset & pushing
22:10 Feedback Dataset UI in Argilla Server
23:05 Comparing Gen1 and Gen2 DS
24:15 Recap
25:15 Outro
The data and the code is located at
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