OLID-BR

Offensive Language Identification Dataset for Brazilian Portuguese (OLID-BR) is a collection of Portuguese text with annotations for several NLP tasks related to toxicity/offensive language.

See the Dataset documentation for more information.

Technical details

This repository contains the source code to prepare, build, and publish the OLID-BR dataset.

The repository is structured as follows:

• /docs contains the documentation for the dataset (available here).
• /notebooks/baselines contains notebooks for baseline models.
• /notebooks/collecting contains notebooks for data collection.
• /notebooks/exploring contains notebooks for data exploration.
• /notebooks/processing contains notebooks for data processing.
• /properties contains the properties for the dataset.
• /src contains the source code for the dataset.
• /tests contains the tests for the dataset.

Architecture

Running Notebooks

You must define the following environment variables to run the notebooks:

Environment Variables

Variable	Description	Default	Required
AWS_ACCESS_KEY_ID	AWS Access Key ID	None	Optional
AWS_S3_BUCKET_PREFIX	AWS S3 Bucket Prefix	None	Required
AWS_S3_BUCKET	AWS S3 Bucket	None	Required
AWS_SECRET_ACCESS_KEY	AWS Secret Access Key	None	Optional
FILTER_TOXIC_COMMENTS	Filter Toxic Comments	True	Optional
HUGGINGFACE_HUB_TOKEN	HuggingFace Hub Token	None	Required
KAGGLE_KEY	Kaggle Key	None	Required
KAGGLE_USERNAME	Kaggle Username	None	Required
LOG_LEVEL	Log level	INFO	Optional
PERSPECTIVE_API_KEY	Perspective API Key	None	Required
PERSPECTIVE_THRESHOLD	Perspective Threshold	0.5	Optional
TWITTER_ACCESS_TOKEN	Twitter Access Token	None	Required
TWITTER_ACCESS_TOKEN_SECRET	Twitter Access Token Secret	None	Required
TWITTER_CONSUMER_KEY	Twitter Consumer Key	None	Required
TWITTER_CONSUMER_SECRET	Twitter Consumer Secret	None	Required
TWITTER_MAX_TWEETS	Twitter Max Tweets or replies	None	Required
YOUTUBE_API_KEY	YouTube API Key	None	Required
YOUTUBE_MAX_COMMENTS_PER_VIDEO	YouTube Max Comments per video	None	Optional

The Jupyter Notebooks uses a .env file to read the environment variables.

If you are running the notebooks on Google Colab, you need to run the following commands:

!git clone https://github.com/DougTrajano/olid-br.git
!mv olid-br/* .
!rm -rf olid-br
!pip install -r requirements.txt

The Google Colab uses Python 3.7 which means that the numpy, pandas, and scikit-learn versions in the requirements.txt are not compatible, please update the requirements.txt file to the following versions:

numpy~=1.23.1
pandas~=1.3.5
scikit-learn~=1.0.2

Install dependencies

You can install the dependencies by running the following command:

pip install -r requirements.txt

Changelog

See the GitHub Releases page for a history of notable changes to this project.

License

The source code is licensed under the Apache 2.0 License.

The dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).