datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Nemotron-RL-Ultra-Training-Blends
Dataset Description:
This dataset provides Reinforcement Learning (RL) and Multi-teacher On-Policy Distillation (MOPD) training-data blends used by the public Nemotron-3-Ultra post-training recipe. The blends are consumed by the NeMo RL training recipes through the NeMo Gym agent framework, in which each prompt is paired with an agent/environment that returns a verifiable or judge-based reward. Each subset is a separate blend; see the recipe for how the blends are used.
The… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-RL-Ultra-Training-Blends.mts-rl-training-data
Source coverage
MTS-Dialog contains 1,701 source dialogues. Fact generation succeeded for 1,700; one training dialogue was excluded after no valid fact record could be generated. Fact records are available for all 200 dialogues in test1. This fact-generation exclusion is separate from the source-dialogue eligibility rule used by the current G-Eval comparison.
PatientAgent MTS-Dialog training data
Facts and preference-training data used by the current PatientAgent… See the full description on the dataset page: https://huggingface.co/datasets/cs552-the-expendables/mts-rl-training-data.R3-RAG-RLTrainingDatacombined-sft-training-data-v20250824_MiroSystemPrompt