datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TuPyE-Dataset
Portuguese Hate Speech Expanded Dataset (TuPyE)
TuPyE, an enhanced iteration of TuPy, encompasses a compilation of 43,668 meticulously annotated documents specifically
selected for the purpose of hate speech detection within diverse social network contexts.
This augmented dataset integrates supplementary annotations and amalgamates with datasets sourced from
Fortuna et al. (2019),
Leite et al. (2020),
and Vargas et al. (2022),
complemented by an infusion of 10,000 original… See the full description on the dataset page: https://huggingface.co/datasets/Silly-Machine/TuPyE-Dataset.silly-emoji-qaThe silly dataset to take text questions and return emoji-only answers.
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Examples
Why do we have different seasons? 🌍☀️🔄
How do fish breathe underwater? 🐟💦💨
Import
# !pip install -q datasets
from datasets import load_dataset
train_ds, test_ds = load_dataset("hululuzhu/silly-emoji-qa", split=["train", "test"])
# import pandas as pd
# train_df = pd.DataFrame(train)
TuPy-Dataset
Portuguese Hate Speech Dataset (TuPy)
The Portuguese hate speech dataset (TuPy) is an annotated corpus designed to facilitate the development of advanced hate speech detection models using machine learning (ML)
and natural language processing (NLP) techniques. TuPy is comprised of 10,000 (ten thousand) unpublished, annotated, and anonymized documents collected
on Twitter (currently known as X) in 2023.
This repository is organized as follows:
root.
├── binary : binary… See the full description on the dataset page: https://huggingface.co/datasets/Silly-Machine/TuPy-Dataset.