nvidia/Nemotron-SFT-SWE-v3.5

O dataset nvidia/Nemotron-SFT-SWE-v3.5 está entre os destaques do Hugging Face — dados que alimentam o treinamento e a avaliação dos modelos do momento.

Ficha do dataset

Sobre o dataset

Nemotron-SFT-SWE-v3.5 Dataset Description: Nemotron-SFT-SWE-v3.5 is a software engineering instruction-tuning dataset designed to advance the capabilities of large language models (LLMs) on software engineering (SWE)-style tasks. The seed tasks model real-world coding applications requiring changes across multiple files and artifacts, including source code, tests, documentation, and configuration. The dataset contains agentic trajectories collected using the… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-SFT-SWE-v3.5.

Como carregar

Use a biblioteca datasets do Hugging Face:

pip install -U datasets

from datasets import load_dataset

ds = load_dataset("nvidia/Nemotron-SFT-SWE-v3.5")
print(ds)
print(ds["train"][0])

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