macrodata/WGO-Bench
Dataset com menos de mil exemplos — 578 downloads no Hugging Face. WGO-Bench: What's Going On Benchmark WGO-Bench is a small, manually annotated benchmark for evaluating how well vision-language models can turn robot…
O dataset macrodata/WGO-Bench está entre os destaques do Hugging Face — dados que alimentam o treinamento e a avaliação dos modelos do momento.
Ficha do dataset
- Tamanho: menos de mil exemplos
- Tarefas: robótica, video classification
- Idiomas: inglês
- Licença: CC BY-NC-SA 4.0 (não comercial)
- Downloads: 578 · Curtidas: 9
Sobre o dataset
WGO-Bench: What's Going On Benchmark WGO-Bench is a small, manually annotated benchmark for evaluating how well vision-language models can turn robot and egocentric manipulation videos into timestamped subtask annotations.
Como carregar
Use a biblioteca datasets do Hugging Face:
pip install -U datasets
from datasets import load_dataset
ds = load_dataset("macrodata/WGO-Bench")
print(ds)
print(ds["train"][0])Tags
robotics video-classification temporal-segmentation subtask-annotation robot-learning egocentric-video droid robocoin
Leia também
Linq’s iMessage Apps Bring Payments, Tickets, Flights, and Games Into the iMessage Bubble Through the imessage_app Part
Anthropic Claude Sonnet 5 vs Sonnet 4.6 vs Opus 4.8: Agentic Coding Benchmarks, API Pricing, and Cost-Performance Tradeoffs Compared