enem
Datasets
All datasets matching “enem”enemThe ENEM 2022, 2023 and 2024 datasets encompass all multiple-choice questions from the last two editions of the Exame Nacional do Ensino Médio (ENEM), the main standardized entrance examination adopted by Brazilian universities. The datasets have been created to allow the evaluation of both textual-only and textual-visual language models. To evaluate textual-only models, we incorporated into the datasets the textual descriptions of the images that appear in the questions' statements from the… See the full description on the dataset page: https://huggingface.co/datasets/maritaca-ai/enem.enem_challengeapex_enemy_detect
Apex Legends Enemy Detection Dataset
Dataset for detecting players in Apex Legends gameplay footage.4 921 frames — 2 classes: enemy, mate.
Dataset Structure
Split
Images
Labels
train
3 937
3 937
val
984
984
images/
train/ # 3937 × .png
val/ # 984 × .png
labels/ # YOLO .txt, mirrors images/
dataset.yaml
Annotation Format
YOLO — each .txt contains one row per bounding box:
<class_id> <cx> <cy> <w> <h> # normalized… See the full description on the dataset page: https://huggingface.co/datasets/SauravOfficial/apex_enemy_detect.aes_enem_dataset
Automated Essay Score (AES) ENEM Dataset
Use Case and Creators
Intended Use: Estimate Essay Score
Creators: Igor Cataneo Silveira, André Barbosa and Denis Deratani Mauá
Contact Information: igorcs@ime.usp.br; andre.barbosa@ime.usp.br
Licensing Information
License: MIT License
Citation Details
Preferred Citation:
@proceedings{DBLP:conf/propor/2024,
editor = {Igor Cataneo Silveira, André Barbosa and Denis Deratani Mauá},
title =… See the full description on the dataset page: https://huggingface.co/datasets/kamel-usp/aes_enem_dataset.apex_enemy_detect
Apex Legends Enemy Detection Dataset
Dataset for detecting players in Apex Legends gameplay footage.4 921 frames — 2 classes: enemy, mate.
Dataset Structure
Split
Images
Labels
train
3 937
3 937
val
984
984
images/
train/ # 3937 × .png
val/ # 984 × .png
labels/ # YOLO .txt, mirrors images/
dataset.yaml
Annotation Format
YOLO — each .txt contains one row per bounding box:
<class_id> <cx> <cy> <w> <h> # normalized… See the full description on the dataset page: https://huggingface.co/datasets/PSImera/apex_enemy_detect.en-embeddings-bge