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Text · dataset · 2025

nvidia/Nemotron-RL-knowledge-web_search-mcqa

Listed in Hugging Face Datasets

Description

Dataset Description: The Nemotron-RL-knowledge-web_search-mcqa is a multi-domain synthetic dataset designed to improve science and general reasoning in large language models (LLMs). It is a filtered subset of the OpenScienceReasoning-2 dataset and contains multiple-choice question–answer pairs spanning diverse domains: physics, biology, mathematics, humanities, computer science, engineering, chemistry, and others. This dataset is released as part of NVIDIA NeMo Gym, a framework… See the full description on the dataset page: huggingface.co/datasets/nvidia/Nemotron-RL-knowledge-web_search-mcqa.

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Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsnvidia/Nemotron-RL-knowledge-web_search-mcqa12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0