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| import streamlit as st | |
| title = "Welcome Page" | |
| description = "Introduction" | |
| date = "2022-01-26" | |
| thumbnail = "images/huggingface_logo.png" | |
| def run_article(): | |
| st.markdown(""" | |
| # Welcome! | |
| Welcome to the Task Exploration Activity for hate speech detection! In this series of modules, you'll learn about the history of hate speech detection as a task in the larger pipeline of automatic content moderation (ACM). You'll also be able to interact with and compare datasets and models built for this task. | |
| The goal of this exploration is to share the design considerations and challenges faced when using algorithms to detect hate speech. | |
| """) | |