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| import streamlit as st | |
| title = "Welcome Page" | |
| description = "Introduction" | |
| date = "2022-01-26" | |
| thumbnail = "images/waving_hand.png" | |
| __INTRO_TEXT = """ | |
| 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. | |
| """ | |
| __DEF_HATE_SPEECH = """ | |
| Hate speech is hard to define, with definitions shifting across time and location. | |
| In 2019, the United Nations defined hate speech as "any kind of communication in speech, | |
| writing or behaviour, that attacks or uses pejorative or discriminatory language with | |
| reference to a person or a group on the basis of who they are, in other words, based on their religion, | |
| ethnicity, nationality, race, colour, descent, gender or other identity factor." | |
| """ | |
| __DEF_CONTENT = """ | |
| Different platforms have different guidelines about what | |
| content is sanctioned on the platform. For example, many US-based platforms prohibit posting threats of violence, | |
| nudity, and hate speech. We discuss hate speech below. | |
| """ | |
| __CONTENT_WARNING = """ | |
| These modules contain examples of hateful, abusive, and offensive language that have be collected in datasets and | |
| reproduced by models. These examples are meant to illustrate the variety of content that may be subject to | |
| moderation. | |
| """ | |
| __DATASET_LIST = """ | |
| - [FRENK hate speech dataset](https://huggingface.co/datasets/classla/FRENK-hate-en) | |
| - [Twitter Hate Speech dataset](https://huggingface.co/datasets/tweets_hate_speech_detection) | |
| - [UC Berkley Measuring Hate Speech](https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech) | |
| - [Dynamically Generated Hate Speech Dataset](https://github.com/bvidgen/Dynamically-Generated-Hate-Speech-Dataset) | |
| - [HateCheck](https://github.com/paul-rottger/hatecheck-data) | |
| - [Hateful Memes Dataset](https://huggingface.co/datasets/limjiayi/hateful_memes_expanded) | |
| - [Open Subtitles English Dataset](https://opus.nlpl.eu/OpenSubtitles-v2018.php) | |
| """ | |
| __MODEL_LIST = """ | |
| - [RoBERTa trained on FRENK dataset](https://huggingface.co/classla/roberta-base-frenk-hate) | |
| - [RoBERTa trained on Twitter Hate Speech](https://huggingface.co/cardiffnlp/twitter-roberta-base-hate) | |
| - [DeHateBERT model (trained on Twitter and StormFront)](https://huggingface.co/Hate-speech-CNERG/dehatebert-mono-english) | |
| - [RoBERTa trained on 11 English hate speech datasets](https://huggingface.co/facebook/roberta-hate-speech-dynabench-r1-target) | |
| - [RoBERTa trained on 11 English hate speech datasets and Round 1 of the Dynamically Generated Hate Speech Dataset](https://huggingface.co/facebook/roberta-hate-speech-dynabench-r2-target) | |
| - [RoBERTa trained on 11 English hate speech datasets and Rounds 1 and 2 of the Dynamically Generated Hate Speech Dataset](https://huggingface.co/facebook/roberta-hate-speech-dynabench-r3-target) | |
| - [RoBERTa trained on 11 English hate speech datasets and Rounds 1, 2, and 3 of the Dynamically Generated Hate Speech Dataset](https://huggingface.co/facebook/roberta-hate-speech-dynabench-r4-target) | |
| """ | |
| def run_article(): | |
| st.markdown("# Welcome!") | |
| st.markdown(__INTRO_TEXT) | |
| st.markdown("### What is hate speech?") | |
| st.markdown(__DEF_HATE_SPEECH) | |
| st.markdown("### What kind of content is subject to moderation?") | |
| st.markdown(__DEF_CONTENT) | |
| st.markdown("### Content Warning") | |
| st.markdown(__CONTENT_WARNING) | |
| st.markdown("---\n\n## Featured datasets and models") | |
| col_1, col_2, _ = st.columns(3) | |
| with col_1: | |
| st.markdown("### Datasets") | |
| st.markdown(__DATASET_LIST, unsafe_allow_html=True) | |
| with col_2: | |
| st.markdown("### Models") | |
| st.markdown(__MODEL_LIST, unsafe_allow_html=True) | |