nvidia/Nemotron-RL-Identity-Following-v1

Dataset Description: This synthetic dataset uses human created seed data to create a bank of prompts which probes a model's identity information: which company created it, and its official name and version number. This dataset is released as part of NVIDIA NeMo Gym, a framework for building reinforcement learning environments to train large language models. NeMo Gym contains a growing collection of training environments and datasets to enable Reinforcement Learning from… See the full description on the dataset page: huggingface.co/datasets/nvidia/Nemotron-RL-Identity-Following-v1.