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Text · dataset · 2026

nvidia/Nemotron-RL-Instruction-Following-MultiTurnChat-v1

Listed in Hugging Face Datasets

Dataset Description: The MultiChallenge Dataset is a rigorous benchmark designed to improve large language models in complex multi-turn conversations by explicitly targeting inference memory, instruction retention, version editing, and self-coherence.

Description

It employs a unique "model breaking" methodology where tasks are tested against advanced models (Nemotron-Nano-V2 and Qwen3-235B-A22B-Thinking-2507) to expose failure modes.

A sample is only accepted into the dataset if the task is… See the full description on the dataset page: huggingface.co/datasets/nvidia/Nemotron-RL-Instruction-Following-MultiTurnChat-v1.

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Documentation and papers

Catalogue records · 1

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsnvidia/Nemotron-RL-Instruction-Following-MultiTurnChat-v111 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
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