Deep Dive Into Datasets For Token Classification in Argilla : Start Annotating For NER NLP Tasks
Ever got frustrated with annotation entities like Noun, Verb in sentences, manually. TokenClassification Dataset makes this process super easy, with help of Python and Argilla Server. Gen2 Feedback Dataset with the SpanQuestion, makes it even more streamlined. Get ready to enjoy the annotation process.
Chapter Navigation:
0:00 Intro
0:10 Purpose of Token Classification DS
1:15 Training Token Classification Model
2:45 Connecting with Argilla Server from Jupyter Notebook
4:15 Creating & Pushing TokenClassification Settings
5:50 Creating & Pushing TokenClassification Record
7:40 Annotating the Tokens in Argilla
8:20 Locating indices of word & Annotating
10:00 Pushing Predictions Using Python
11:30 Providing Annotation In
12:00 Creating Feedback Dataset For Token Classification
13:00 Creating Span Question
14:40 Reviewing UI for TokenClassification Dataset
15:45 Creating & Pushing Feedback Record to Argilla
16:45 Annotating TokenClassification Record in UI
17:45 SpanQuestion Active Development Status
18:25 Recap of TokenClassification
19:07 Call to Action
20:00 Outro
The data and the code is located at
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