datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
brazil-2026-electoral-divergence
AFOS — Brazil 2026 Electoral Divergence Dataset
🌐 English · Português · Español
English
Open, auditable daily dataset that cross-references prediction markets (Polymarket) × polling institutes (TSE-registered) × press coverage for Brazil's 2026 presidential cycle, with explicit divergence between sources instead of smoothed averages.
Maintained by AFOS Analytics — open-source civic infrastructure for electoral political-risk intelligence. This is the public… See the full description on the dataset page: https://huggingface.co/datasets/AFOS-Analytics1/brazil-2026-electoral-divergence.dou-brazil-dataset
Dataset Card for Dataset Diário Oficial da União (DOU)
The Diário Oficial da União (DOU) is the official government gazette of Brazil, published by the National Press. It serves as the primary means of communication for federal government acts, including laws, decrees, ordinances, public notices, and other official decisions. The DOU ensures transparency and legal validity for government actions and is divided into three sections:
Section 1: Publishes laws, decrees, and… See the full description on the dataset page: https://huggingface.co/datasets/gerson-vfs/dou-brazil-dataset.brazilian-digital-identity-instagram-corpus
Brazilian Digital Identity on Instagram — Thematic Corpus
Authors: Étore Braga e Santos (Unicamp, ORCID 0009-0000-3502-705X) & Pâmella Fernandes de Sá (USP FEA-RP)License: CC BY 4.0 (dataset) — code at https://github.com/Etore-BeS/brazilian-digital-identity-paper (MIT)Version: 1.0.0 — Collection March 7–11, 2026
Dataset Description
Anonymized corpus of 17,287 Instagram comments on three international celebrity posts with substantial Brazilian engagement, annotated… See the full description on the dataset page: https://huggingface.co/datasets/Etore-BeS/brazilian-digital-identity-instagram-corpus.brazil-deputy-expensesbrazil-pix-databrazilian-cultural-video-dataset
Bamboo Data Brazilian Cultural Video Dataset (Sample)
⚠️ License Notice: Evaluation Only
This is a sample of the Bamboo Data brazilian cultural video dataset, provided for internal evaluation purposes ONLY. The use of this data is strictly limited by the license defined below.
Any use for training, fine-tuning, or inference of AI/ML models, or any commercial activity, is strictly prohibited with this sample.
Dataset Description
The Bamboo Data… See the full description on the dataset page: https://huggingface.co/datasets/bamboodata/brazilian-cultural-video-dataset.mteb_brazilian_court_decisionsbrazilian_portugueseBrazil-Stock-Symbols-and-Metadata
Brazil Stock Symbols & Company Metadata
This dataset contains stock symbols and basic company metadata for all listed companies in Brazil.It is updated weekly if new changes are there.
📊 Dataset Contents
The dataset is provided as a CSV file with the following columns:
Column
Description
name
Full company name
ticker
Stock ticker symbol (e.g., AAPL, MSFT)
market
The exchange/market where the stock is listed
sector
The primary business sector of the… See the full description on the dataset page: https://huggingface.co/datasets/kjhq/Brazil-Stock-Symbols-and-Metadata.brazil-argentina-ecommerce-cost-optimization
Brazil-Argentina E-Commerce Cost Optimization Dataset
Real-time operational dataset collected by a cross-border e-commerce retail company headquartered in São Paulo, Brazil, with operations in Buenos Aires, Argentina. This dataset is published to support the Data Science team's model training and cost-structure analysis during the quarterly cost-optimization program.
Overview
Number of records: 500
Time span: Rolling window covering the most recent 7 days… See the full description on the dataset page: https://huggingface.co/datasets/toolathon123/brazil-argentina-ecommerce-cost-optimization.brazilian_court_civil_decisionsaccess-level-classification-brazilian-SEI
Access Level Classification of Brazilian SEI Documents
Dataset Summary
This dataset contains 606 documents in Brazilian Portuguese (and some English) labeled by access level, for training models that automatically classify documents processed through Brazil's Sistema Eletrônico de Informações (SEI) — the electronic document and process management system used across Brazilian federal public institutions.
When users upload external documents to SEI, they must… See the full description on the dataset page: https://huggingface.co/datasets/gvic-unb/access-level-classification-brazilian-SEI.brazilian-portuguese-anaphylaxis
Brazilian Portuguese Clinical Notes for Anaphylaxis Detection
A dataset of 969 Brazilian Portuguese clinical narratives annotated for the presence or absence of anaphylaxis, built for research in clinical Natural Language Processing (NLP).
Overview
Anaphylaxis is an acute, potentially life-threatening allergic reaction that requires rapid recognition in clinical settings. Automatic detection of anaphylaxis in clinical narratives can support large-scale analysis of… See the full description on the dataset page: https://huggingface.co/datasets/matos1012/brazilian-portuguese-anaphylaxis.Translated_Expanded_CC3M-Brazilian_Portuguese-Hindi-Xhosa
CC3M Multilingual & Augmented Variants
This repository provides four multilingual, augmented, and similarity-enhanced variants of the Conceptual Captions 3M (CC3M) dataset.The goal is to support research in vision–language modeling, multimodal alignment, data augmentation, and low-resource language evaluation.
All versions include translations generated with Google Translate and MarianMT, and caption augmentations produced with BLIP2, generating five additional captions per… See the full description on the dataset page: https://huggingface.co/datasets/DiegoAlysson/Translated_Expanded_CC3M-Brazilian_Portuguese-Hindi-Xhosa.brazil-macroeconomic-dataBrazilian_Musics
Legal Notice
This dataset contains only song identifiers and descriptive metadata.
It does not include lyrics, audio, or any copyrighted musical content.
All rights to the underlying musical works belong to their respective rights holders.
Translated_CC12M-Brazilian_Portuguesebrazil-qa-dataset-02