datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Nemotron-SFT-Instruction-Following-Chat-v3
Dataset Description:
The Nemotron-Instruction-Following-Chat-v3 dataset is designed to strengthen multi-turn, interactive capabilities, including open-ended chat and precise instruction following.
The chat subset uses human written prompts from sources like lmarena, lmsys, and wildchat as seed prompts. Responses are generated with GLM-5. Multiple responses are sampled from the model and the best response as judged by pairwise comparisons using Qwen3-Nemotron-235B-A22B-GenRM-2603… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-SFT-Instruction-Following-Chat-v3.Nemotron-SFT-Instruction-Following-Chat-v2
Dataset Description:
The Nemotron-Instruction-Following-Chat-v2 dataset is designed to broadly strengthen the model’s interactive capabilities, including open-ended chat and precise instruction following.The dataset is a refreshed version of Nemotron-Instruction-Following-Chat-v1 with synthetic dialogues generated from Kimi-K2-Thinking, GLM-4.6, Qwen3-235B-A22B-Thinking-2507, GPT-OSS-120b, Kimi-K2-Instruct-0905, and Qwen3-235B-A22B-Instruct-2507.
This dataset is ready for commercial… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-SFT-Instruction-Following-Chat-v2.reasoning-sft-Nemotron-Instruction-Following-Chat-v1
Nemotron Instruction Following Chat v1 (Reasoning SFT)
Converted version of nvidia/Nemotron-Instruction-Following-Chat-v1, filtered to 157,595 rows where assistant responses include genuine reasoning traces (reasoning_content).
Format
Each row has three columns:
input — list of dicts with role/content conversation turns (system, user, and prior assistant turns up to the final assistant response)
response — <think> block containing the model's reasoning followed by the… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/reasoning-sft-Nemotron-Instruction-Following-Chat-v1.Nemotron-SFT-Instruction-Following-Chat-v2
Dataset Description:
The Nemotron-Instruction-Following-Chat-v2 dataset is designed to broadly strengthen the model’s interactive capabilities, including open-ended chat and precise instruction following.The dataset is a refreshed version of Nemotron-Instruction-Following-Chat-v1 with synthetic dialogues generated from Kimi-K2-Thinking, GLM-4.6, Qwen3-235B-A22B-Thinking-2507, GPT-OSS-120b, Kimi-K2-Instruct-0905, and Qwen3-235B-A22B-Instruct-2507.
This dataset is ready for… See the full description on the dataset page: https://huggingface.co/datasets/OperatorSDG/Nemotron-SFT-Instruction-Following-Chat-v2.amalia-Nemotron-SFT-Instruction-Following-Chat-v2
Nemotron-SFT-Instruction-Following-Chat-v2
Version of the nvidia/Nemotron-SFT-Instruction-Following-Chat-v2 dataset used in the AMALIA's Supervised Fine-Tuning stage, both in the base and ramp down stages. The ramp down stage comprised a randomly select subset of the base subset, where part was translated to European Portuguese using google/gemma-4-31B-it.
This dataset went through a processing pipeline to:
Remove entries that reference other LLMs or research labs;… See the full description on the dataset page: https://huggingface.co/datasets/amalia-llm/amalia-Nemotron-SFT-Instruction-Following-Chat-v2.AIUB-Generic-Instruct-ChatThis is a Generic Dataset on AIUB for NLP Model Training (eg. Llama, gemma, Mistral).
If you want to contribute on improving this dataset please feel free to work on it.
medical-chat-phi-3.5-instruct-1k
Use the dataset
from datasets import load_dataset
dataset = load_dataset('syubraj/medical-chat-phi-3.5-instruct-1k')
nrct_instruction_dataset-chat
Instruction Dataset for NRCT (V1) - Chat
make dataset from https://huggingface.co/datasets/nectec/nrct_instruction_dataset