ibm-research/AssetOpsBench
Dataset com menos de mil exemplos — 891 downloads no Hugging Face. AssetOpsBench AssetOpsBench is a specialized benchmark designed for evaluating Large Language Models (LLMs) and Multi-Agent systems in industrial oper…
Hugging Face · Datasets
·ibm-research
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·↓ 891
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O dataset ibm-research/AssetOpsBench 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: perguntas e respostas, time series forecasting
- Idiomas: inglês
- Licença: Apache 2.0
- Downloads: 891 · Curtidas: 43
Sobre o dataset
AssetOpsBench AssetOpsBench is a specialized benchmark designed for evaluating Large Language Models (LLMs) and Multi-Agent systems in industrial operations.
Como carregar
Use a biblioteca datasets do Hugging Face:
pip install -U datasets
from datasets import load_dataset
ds = load_dataset("ibm-research/AssetOpsBench")
print(ds)
print(ds["train"][0])Tags
question-answering time-series-forecasting Industry PHM Predictive-Maintenance Asset-Management tool-learning task-automation
