Data Labeling & Annotation

Creating high-quality data is extremely important for building robust language applications.

Note

If you have a model you’d like to collect live-feedback for, check out the Data Collection & Feedback section.

Question & Answering

Create labeling tasks for summarizing written documents. Users can reference a set of predefined summaries, for example, …

import pykoi as pk

# assume you have some model, endpoint, or api
model = your_model

# give model chat ui with feedback
chatbot = pk.Chatbot(model)

# Create sharable link to the application
app = pk.Application(debug=False, share=False)
app.add_component(chatbot)
app.run()

img

Summarization

Create labeling tasks for summarizing written documents. Users can reference a set of predefined summaries, for example, …

import pykoi as pk

# assume you have some model, endpoint, or api
model = your_model

# give model chat ui with feedback
chatbot = pk.Chatbot(model)

# Create sharable link to the application
app = pk.Application(debug=False, share=False)
app.add_component(chatbot)
app.run()

img

Named Entity Recognition

Create labeling tasks for summarizing written documents. Users can reference a set of predefined summaries, for example, …

import pykoi as pk

# assume you have some model, endpoint, or api
model = your_model

# give model chat ui with feedback
chatbot = pk.Chatbot(model)

# Create sharable link to the application
app = pk.Application(debug=False, share=False)
app.add_component(chatbot)
app.run()

img

The Problem: You have some NLP tasks that require manual data labeling and/or annotation.

The Solution: pykoi provides several predefined classes for different NLP-related annotation tasks: - Summarization - Question and Answering - Named Entity Recognition Simply create a dataset of annotation tasks, call them with the corresponding tasks, and serve them with pykoi. Users can access the shared url and complete the desired tasks. The data will automatically be streamed to a database you can access, or you can just manually download the data for yourself. pykoi even provides an additional layer of analytics on top of the annotated data, so you can understand your newly-generated data.

### Summarization

### Question and Answering

### Named Entity Recognition