datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Nemotron-Post-Training-Dataset-v1
Nemotron-Post-Training-Dataset-v1 Release
This dataset is a compilation of SFT data that supports improvements of math, code, stem, general reasoning, and tool calling capabilities of the original Llama instruct model Llama-3.3-Nemotron-Super-49B-v1.5.
Llama-3.3-Nemotron-Super-49B-v1.5 is an LLM which is a derivative of Meta Llama-3.3-70B-Instruct (AKA the reference model).
Llama-3.3-Nemotron-Super-49B-v1.5 offers a great tradeoff between model accuracy and efficiency. Efficiency… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Post-Training-Dataset-v1.Nemotron-Post-Training-Dataset-v2
Nemotron-Post-Training-Dataset-v2 Release
Data Overview
This dataset adds to NVIDIA’s post-training dataset releases with an extension of SFT and RL data into five target languages: Spanish, French, German, Italian and Japanese. The data supports improvements of math, code, general reasoning, and instruction following capabilities of the NVIDIA-Nemotron-Nano-9B-v2-Base, in support of release of NVIDIA-Nemotron-Nano-8B-v2-Reasoning.
NVIDIA-Nemotron-Nano-9B is a family of… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Post-Training-Dataset-v2.gorilla-openfunctions-v1Nemotron-Post-Training-Dataset-v2-decontaminated
Decontamination
This dataset is a decontaminated version of nvidia/Nemotron-Post-Training-Dataset-v2.
Benchmarks used
MATH500: HuggingFaceH4/MATH-500 (subset=default, split=test)
AIME24: HuggingFaceH4/aime_2024 (subset=default, split=train)
AIME25: math-ai/aime25 (subset=default, split=test)
AMC23: math-ai/amc23 (subset=default, split=test)
JEEBench: daman1209arora/jeebench (subset=default, split=test)
GPQADiamond: Idavidrein/gpqa (subset=gpqa_diamond, split=train)… See the full description on the dataset page: https://huggingface.co/datasets/openeurollm/Nemotron-Post-Training-Dataset-v2-decontaminated.Salesforce-xlam-function-calling-60kmix-context-post-training-128k
Mix-Context Post-Training Dataset for 128K Context Extension
Overview
Mix-Context Post-Training 128K is a dataset designed specifically for post-training context window extension of pretrained LLMs.
It targets the stage after base pretraining, where a model is adapted to operate over much longer contexts (up to 128K tokens) while preserving short-context behavior. The dataset mixes short- and long-context packed sequences with a controlled length distribution to support:… See the full description on the dataset page: https://huggingface.co/datasets/ghostcc3/mix-context-post-training-128k.Llama-Nemotron-Post-Training-Dataset-v1-ShareGPT
Llama-Nemotron-Post-Training-Dataset-v1 in ShareGPT Format
This dataset is a conversion of NVIDIA's Llama-Nemotron-Post-Training-Dataset-v1
into the ShareGPT format while preserving the original splits and columns.
Format
Each example contains all original fields plus a messages array:
{
"input": "original input text",
"output": "original output text",
... (other original columns) ...,
"messages": [
{"role": "user", "content": "User message"},
{"role":… See the full description on the dataset page: https://huggingface.co/datasets/MaziyarPanahi/Llama-Nemotron-Post-Training-Dataset-v1-ShareGPT.Swallow-Nemotron-Post-Training-Dataset-v1-ja-cpt
Swallow-Nemotron-Post-Training-Dataset-v1-ja-cpt
Dataset Overview
This dataset is a reformatted subset of the tokyotech-llm/Swallow-Nemotron-Post-Training-Dataset-v1 dataset, specifically derived from the v1-Ja-202601 subset. It was created to facilitate Continuous Pre-Training (CPT) by extracting only the text_gpt_oss field from the original data.
Dataset Statistics & Token Counts
The token counts for each category were calculated using the… See the full description on the dataset page: https://huggingface.co/datasets/Podtech/Swallow-Nemotron-Post-Training-Dataset-v1-ja-cpt.Llama-Nemotron-Post-Training-Dataset-v1-Smoler-ShareGPT
Llama-Nemotron-Post-Training-Dataset-v1-Smoler-ShareGPT
This dataset is a smaller version of NVIDIA's Llama-Nemotron-Post-Training-Dataset-v1
converted to ShareGPT format and merged into a single dataset.
Format
Each example contains all original fields plus a messages array:
{
"input": "original input text",
"output": "original output text",
... (other original columns) ...,
"original_split": "code|math|science|chat|safety",
"messages": [
{"role": "user"… See the full description on the dataset page: https://huggingface.co/datasets/MaziyarPanahi/Llama-Nemotron-Post-Training-Dataset-v1-Smoler-ShareGPT.AutoIF-instruct-61kLlama-Nemotron-Post-Training-Dataset-v1-Smol-ShareGPT
Llama-Nemotron-Post-Training-Dataset-v1-Smol-ShareGPT
This dataset is a smaller version of NVIDIA's Llama-Nemotron-Post-Training-Dataset-v1
converted to ShareGPT format and merged into a single dataset.
Format
Each example contains all original fields plus a messages array:
{
"input": "original input text",
"output": "original output text",
... (other original columns) ...,
"original_split": "code|math|science|chat|safety",
"messages": [
{"role": "user"… See the full description on the dataset page: https://huggingface.co/datasets/MaziyarPanahi/Llama-Nemotron-Post-Training-Dataset-v1-Smol-ShareGPT.Llama-Nemotron-Post-Training-Dataset-SFT-math-FI
Llama-Nemotron-Post-Training-Dataset-SFT-math-FI
This dataset is a Finnish machine-translated version of the SFT/math split from the original nvidia/Llama-Nemotron-Post-Training-Dataset.
The data was created by translating the original English math SFT subset into Finnish using the DeepSeek-V3 model.
Translation Process
The user prompt and the thinking traces were translated separately in two LLM requests. For traces, the <think> and </think> tokens were preserved… See the full description on the dataset page: https://huggingface.co/datasets/LumiOpen/Llama-Nemotron-Post-Training-Dataset-SFT-math-FI.Luth-2-Post-Training-SFT
Luth-2-Post-Training-SFT
Luth-2-Post-Training-SFT is the French supervised fine-tuning mixture used to train Luth-2-0.8B and Luth-2-2B. It spans math, code, knowledge, instruction following and tool calling in a single schema, with 1,969,768 examples and 3.12B training tokens.
📄 Blog: Luth-2: Pushing the French Capabilities of SLMs with MOPD
🤗 Models: Luth-2-0.8B · Luth-2-2B
📊 Datasets: SFT · RL
💻 Code: GitHub
🏆 Leaderboard: French LLM Leaderboard
Composition… See the full description on the dataset page: https://huggingface.co/datasets/kurakurai/Luth-2-Post-Training-SFT.post-training-benchmarks-viewerAutoIF-instruct-61k-with-funcstyphoon-s-instruct-post-training
Typhoon-S Instruct Post-Training
Dataset Summary
This dataset is a post-training corpus used in the Typhoon-S recipe for building Sovereign AI: high-performing, region- and domain-specific LLMs that remain localized, controllable, and resource-efficient. It is designed to help transform a sovereignty-adapted base model into a capable assistant while preserving target-language strengths.
The dataset follows a two-part mixture philosophy:
Target-language (Thai) alignment… See the full description on the dataset page: https://huggingface.co/datasets/typhoon-ai/typhoon-s-instruct-post-training.osim-post-training
SOUL
This CMU-LTI mirror hosts the post-training data used for ODYSSIM releases. It mirrors the original sunweiwei/Soul dataset layout under the CMU-LTI organization.
SOUL is the data suite for human behavior simulation used in
Reinforcing Human Behavior Simulation via Verbal Feedback (DITTO),
spanning conversation, social simulation, social cognition, role-play, and human-centric evaluation.
📄 Paper: https://arxiv.org/abs/2605.20506
💻 Code:… See the full description on the dataset page: https://huggingface.co/datasets/cmu-lti/osim-post-training.Qwen3-8B-Nemotron-Post-Training-Dataset-v2mistral-nvidia-Llama-Nemotron-Post-Training-Dataset-sftpost-training-v1llama_nemotron_post_training_sft_scienceNemotron-Post-Training-Dataset-v2-chat-ConvertedLuth-2-Post-Training-RL
Luth-2-Post-Training-RL
Luth-2-Post-Training-RL is the French RL prompt collection used to post-train Luth-2-0.8B and Luth-2-2B.
📄 Blog: Luth-2: Pushing the French Capabilities of SLMs with MOPD
🤗 Models: Luth-2-0.8B · Luth-2-2B
📊 Datasets: SFT · RL
💻 Code: GitHub
🏆 Leaderboard: French LLM Leaderboard
Composition
Config
Rows
Verifier fields
math
20,000
prompt, solution
math_hard
17,888
prompt, solution
code
46,661
prompt, unit_tests… See the full description on the dataset page: https://huggingface.co/datasets/kurakurai/Luth-2-Post-Training-RL.Nemotron-Post-Training-Dataset-v1
Nemotron-Post-Training-Dataset-v1 Release
This dataset is a compilation of SFT data that supports improvements of math, code, stem, general reasoning, and tool calling capabilities of the original Llama instruct model Llama-3.3-Nemotron-Super-49B-v1.5.
Llama-3.3-Nemotron-Super-49B-v1.5 is an LLM which is a derivative of Meta Llama-3.3-70B-Instruct (AKA the reference model).
Llama-3.3-Nemotron-Super-49B-v1.5 offers a great tradeoff between model accuracy and efficiency.… See the full description on the dataset page: https://huggingface.co/datasets/nick007x/Nemotron-Post-Training-Dataset-v1.nemotron-post-training-dataset-v1-processedchat and tools subset of nvidia/Nemotron-Post-Training-Dataset-v1 without thinking tokens and user messages filled.
OpenOrcanemotron-post-training-dataset-v1-chatQwen3-4B-Nemotron-Post-Training-Dataset-v2NousResearch-hermes-function-calling-v1gorilla-apibench