datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Superior-Reasoning-SFT-gpt-oss-120b-Logprob
Superior-Reasoning-SFT-gpt-oss-120b-Logprob
🚀 Overview
This dataset contains the token-level log-probabilities generated by the teacher model (gpt-oss-120b) for the reasoning samples in the main Superior-Reasoning-SFT-gpt-oss-120b Dataset.
🔗 Relationship to Main Dataset
This dataset is a companion to the main Superior-Reasoning-SFT-gpt-oss-120bdataset. Records are linked via a unique sample_uuid.
Main Dataset: Contains the text (prompts… See the full description on the dataset page: https://huggingface.co/datasets/Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b-Logprob.Superior-Reasoning-SFT-gpt-oss-120b
Superior-Reasoning-SFT-gpt-oss-120b
📣 News
Our dataset ranked #1 on the Hugging Face Datasets Trending leaderboard from January 20 to January 30.
🚀 Overview
The Superior-Reasoning-SFT-gpt-oss-120b dataset is a high-quality, open-source collection containing 435K samples designed to democratize the training of high-performance Long Chain-of-Thought (Long-CoT) models. Unlike standard distilled datasets that rely on random sampling or… See the full description on the dataset page: https://huggingface.co/datasets/Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b.Superior-Reasoning-SFT-gpt-oss-120b-Logprob
Superior-Reasoning-SFT-gpt-oss-120b-Logprob
🚀 Overview
This dataset contains the token-level log-probabilities generated by the teacher model (gpt-oss-120b) for the reasoning samples in the main Superior-Reasoning-SFT-gpt-oss-120b Dataset.
🔗 Relationship to Main Dataset
This dataset is a companion to the main Superior-Reasoning-SFT-gpt-oss-120b dataset. Records are linked via a unique sample_uuid.
Main… See the full description on the dataset page: https://huggingface.co/datasets/erenyeager-1/Superior-Reasoning-SFT-gpt-oss-120b-Logprob.Medical-Reasoning-SFT-GPT-OSS-120B
Medical-Reasoning-SFT-GPT-OSS-120B
A high-quality synthetic dataset of medical reasoning conversations generated using OpenAI's gpt-oss-120B model with reasoning effort set to high, designed for supervised fine-tuning of large language models in healthcare applications. I used Intelligent-Internet/II-Medical-Reasoning-SFT as a seed dataset, so I would like to thank the authors and Intelligent-Internet for their great work.
Dataset Statistics
Total Samples: 200,927… See the full description on the dataset page: https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-GPT-OSS-120B.Medical-Reasoning-SFT-GPT-OSS-120B-Small
Medical-Reasoning-SFT-GPT-OSS-120B-Small
A filtered and processed version of OpenMed/Medical-Reasoning-SFT-GPT-OSS-120B optimized for training efficiency.
Dataset Description
This dataset contains high-quality medical reasoning conversations with the following modifications:
Length Filtering: Only includes samples where assistant responses are between 1000 and 10000 characters
Reasoning Extraction: Reasoning content from <think> tags has been extracted into a separate… See the full description on the dataset page: https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-GPT-OSS-120B-Small.gpt-oss-120b-reasoning-STEM-5K
GPT-OSS-120B-Distilled-Reasoning-STEM Dataset
1) Dataset Overview
Data Source Model: gpt-oss-120b-high
Task Type: STEM Reasoning and Problem Solving (Science, Technology, Engineering & Mathematics)
Data Format: `JSON Lines
Fields: generator, category, input, CoT_Native——reasoning, answer
(Consistent with the math dataset, splitting the original 'output' into 'reasoning' and 'answer' for COT/SFT scenarios.)
2) Design Goals (Motivation)
This dataset targets… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/gpt-oss-120b-reasoning-STEM-5K.Medical-Reasoning-SFT-GPT-OSS-120B-V2
Medical-Reasoning-SFT-GPT-OSS-120B-V2
A large-scale medical reasoning dataset generated using openai/gpt-oss-120b, containing over 506,000 samples with detailed chain-of-thought reasoning for medical and healthcare questions.
GPT-OSS-120B is OpenAI's state-of-the-art open-weight model, achieving near-parity with closed models on reasoning benchmarks while being Apache 2.0 licensed.
Dataset Overview
Metric
Value
Model
openai/gpt-oss-120b
Total Samples
506… See the full description on the dataset page: https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-GPT-OSS-120B-V2.Superior-Reasoning-SFT-gpt-oss-120b
Superior-Reasoning-SFT-gpt-oss-120b
🚀 Overview
The Superior-Reasoning-SFT-gpt-oss-120b dataset is a high-quality, open-source collection containing 435K samples designed to democratize the training of high-performance Long Chain-of-Thought (Long-CoT) models. Unlike standard distilled datasets that rely on random sampling or heuristic filtering, Superior-Reasoning-SFT-gpt-oss-120b is constructed using a principled Distribution-Aligned Sequence… See the full description on the dataset page: https://huggingface.co/datasets/0xzanuee/Superior-Reasoning-SFT-gpt-oss-120b.gpt-oss-120b-Infinity-Instruct-0625
gpt-oss-120b-Infinity-Instruct-0625
Dataset Description
This dataset is part of the LK-Speculators collection for speculative decoding research. It contains 660K prompt-response pairs designed for training draft models that are used alongside gpt-oss-120b as the target model. The dataset was created by generating responses to the prompts from Infinity-Instruct-0625 with openai/gpt-oss-120b at temperature=1.
For more details on the training methodology and results, see our… See the full description on the dataset page: https://huggingface.co/datasets/nebius/gpt-oss-120b-Infinity-Instruct-0625.Natural-Reasoning-gpt-oss-120B-S1
Dataset Card: Natural-Reasoning-gpt-oss-120B-S1
📜 Dataset Overview
This is a meticulously curated instruction fine-tuning dataset designed specifically for efficient knowledge distillation tasks. Built upon the first 100,000 questions from the large-scale reasoning corpus facebook/natural_reasoning (s1, I will process the remaining parts later), it aims to transfer the advanced, multi-step reasoning capabilities of the teacher model gpt-oss-120-high to a student model… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/Natural-Reasoning-gpt-oss-120B-S1.Superior-Reasoning-SFT-gpt-oss-120b-split-en
Superior-Reasoning SFT (stage1 + stage2) with <think> split and English filtering
Summary
This dataset is a processed derivative of Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b (subsets stage1 and stage2, train split). It restructures each example into three fields:
input: the original input
reasoning: the content extracted from <think> ... </think> within the original output (inner text only)
output: the remainder of the original output after removing all <think>… See the full description on the dataset page: https://huggingface.co/datasets/Hugodonotexit/Superior-Reasoning-SFT-gpt-oss-120b-split-en.TinyMathStories_gpt-oss-20b
TinyMathStories
A TinyStories-style corpus extended with math and lightweight reasoning.
This dataset keeps the child-level vocabulary and short narrative style of TinyStories (Microsoft Research, Eldan & Li, 2023) and mixes in basic numeracy (counting, addition/subtraction, simple equations, fractions, measurement) and short justifications—so tiny models can practice coherent English and early math/logic.
Research, generation, and curation by AlgoDriveAI.Inspired by and… See the full description on the dataset page: https://huggingface.co/datasets/AlgoDriveAI/TinyMathStories_gpt-oss-20b.nemotron-nano2-safety-distill-gptoss
Nemotron Nano 2 Safety Distill — GPT-OSS
A distilled safety dataset produced using the Nemotron Nano 2 recipe with GPT-OSS-20B and GPT-OSS-120B as teacher models.
⚠️ Content Warning: This dataset includes potentially harmful prompts. Use responsibly for research purposes only.
Overview
This safety-focused distilled dataset was created by following the Nemotron Nano 2 safety recipe, adapted to use GPT-OSS-20B and GPT-OSS-120B as teacher models. Due to resource limitations… See the full description on the dataset page: https://huggingface.co/datasets/Ericwang/nemotron-nano2-safety-distill-gptoss.gpt-oss-20b-Infinity-Instruct-0625
gpt-oss-20b-Infinity-Instruct-0625
Dataset Description
This dataset is part of the LK-Speculators collection for speculative decoding research. It contains 660K prompt-response pairs designed for training draft models that are used alongside gpt-oss-20b as the target model. The dataset was created by generating responses to the prompts from Infinity-Instruct-0625 with openai/gpt-oss-20b at temperature=1.
For more details on the training methodology and results, see our… See the full description on the dataset page: https://huggingface.co/datasets/nebius/gpt-oss-20b-Infinity-Instruct-0625.Superior-Reasoning-SFT-gpt-oss-120b
Superior-Reasoning-SFT-gpt-oss-120b
🚀 Overview
The Superior-Reasoning-SFT-gpt-oss-120b dataset is a high-quality, open-source collection containing 435K samples designed to democratize the training of high-performance Long Chain-of-Thought (Long-CoT) models. Unlike standard distilled datasets that rely on random sampling or heuristic filtering, Superior-Reasoning-SFT-gpt-oss-120b is constructed using a principled… See the full description on the dataset page: https://huggingface.co/datasets/Chaiyphop/Superior-Reasoning-SFT-gpt-oss-120b.Superior-Reasoning-SFT-gpt-oss-120b-random-shuffled
Superior-Reasoning-SFT-gpt-oss-120b
📣 News
Our dataset ranked #1 on the Hugging Face Datasets Trending leaderboard from January 20 to January 30.
🚀 Overview
The Superior-Reasoning-SFT-gpt-oss-120b dataset is a high-quality, open-source collection containing 435K samples designed to democratize the training of high-performance Long Chain-of-Thought (Long-CoT) models. Unlike standard distilled datasets that… See the full description on the dataset page: https://huggingface.co/datasets/anshy/Superior-Reasoning-SFT-gpt-oss-120b-random-shuffled.Superior-Reasoning-SFT-gpt-oss-120b
Superior-Reasoning-SFT-gpt-oss-120b
📣 News
Our dataset ranked #1 on the Hugging Face Datasets Trending leaderboard from January 20 to January 30.
🚀 Overview
The Superior-Reasoning-SFT-gpt-oss-120b dataset is a high-quality, open-source collection containing 435K samples designed to democratize the training of high-performance Long Chain-of-Thought (Long-CoT) models. Unlike standard distilled datasets that… See the full description on the dataset page: https://huggingface.co/datasets/erenyeager-1/Superior-Reasoning-SFT-gpt-oss-120b.gpt-oss-120B-distilled-reasoning
GPT-oss-120B-Distilled-Reasoning-math Dataset
Data Source Model: gpt-oss-120bTask Type: Mathematical Problem SolvingData Format: JSON Lines
Fields: Generator, Category, Input, Output
Core Statistics
Generated complete reasoning processes and answers using gpt-oss-120b (MXFP4).The text length of the dataset reflects the depth and complexity of its content. I have statistically analyzed the lengths of the input (question), Reasoning, and Answer.To understand the data… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/gpt-oss-120B-distilled-reasoning.gpt-oss-120b-SWE-Agent
GPT-OSS 120B SWE-Agent Execution Traces
Full execution traces of GPT-OSS 120B running SWE-Agent on SWE-Bench (Full).
Dataset Structure
Each JSON file in traces/ corresponds to one SWE-Bench problem instance. The filename is the instance ID (e.g., django__django-12345.json).
Trace Schema
{
"instance_id": "django__django-12345",
"model": "GPT-OSS-120B",
"agent": "SWE-agent",
"total_steps": 15,
"total_run_duration_seconds": 120.5,
"exit_status":… See the full description on the dataset page: https://huggingface.co/datasets/zanderjiang/gpt-oss-120b-SWE-Agent.Reasoning-SFT-gpt-oss-120b
Superior-Reasoning-SFT-gpt-oss-120b
📣 News
Our dataset ranked #1 on the Hugging Face Datasets Trending leaderboard from January 20 to January 30.
🚀 Overview
The Superior-Reasoning-SFT-gpt-oss-120b dataset is a high-quality, open-source collection containing 435K samples designed to democratize the training of high-performance Long Chain-of-Thought (Long-CoT) models. Unlike standard distilled datasets that rely on random sampling or… See the full description on the dataset page: https://huggingface.co/datasets/NarsAI/Reasoning-SFT-gpt-oss-120b.GPT-OSS-20B-Distilled-Reasoning-Mini
Dataset Card for Dataset Name
GPT-OSS-20B Distilled Reasoning Dataset Mini
(Multi-stage Evaluative Refinement Method for Reasoning Generation)
Dataset Details and Description
This is a high-quality instruction fine-tuning dataset constructed through knowledge distillation, featuring detailed Chain-of-Thought (CoT) reasoning processes. The dataset is designed to enhance the capabilities of smaller language models in complex reasoning, logical analysis, and instruction… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/GPT-OSS-20B-Distilled-Reasoning-Mini.nemotron-post-training-v2-gpt-oss-120b-regen
Dataset Card for Nemotron Post Training v2 gpt-oss-120b Regen
Regenerated responses from nvidia/Nemotron-Post-Training-Dataset-v2 dataset using gpt-oss-120b model.
Parameter
Value
Max Tokens
8192
Temperature
1.0
Top-k
20
Top-p
0.95
Repetition Penalty
1.5
Dataset consists only the english samples from the Nemotron Post Training Dataset. 85% of the chat prompts have reasoning enabled, every other category has reasoning disabled.
Category
Value
math… See the full description on the dataset page: https://huggingface.co/datasets/Dogacel/nemotron-post-training-v2-gpt-oss-120b-regen.Medical-Reasoning-SFT-GPT-OSS-120B
Medical-Reasoning-SFT-GPT-OSS-120B
A high-quality synthetic dataset of medical reasoning conversations generated using OpenAI's gpt-oss-120B model with reasoning effort set to high, designed for supervised fine-tuning of large language models in healthcare applications. I used Intelligent-Internet/II-Medical-Reasoning-SFT as a seed dataset, so I would like to thank the authors and Intelligent-Internet for their great work.
Dataset Statistics
Total Samples: 200,927… See the full description on the dataset page: https://huggingface.co/datasets/akahana/Medical-Reasoning-SFT-GPT-OSS-120B.gpt-oss-claude-code
gpt-oss-claude-code SFT dataset
Fine-tuning dataset for deburky/gpt-oss-claude-code, a tool-use and agentic coding model based on openai/gpt-oss-20b.
Overview
284 training / 71 validation examples
Format: gpt-oss harmony (<|start|>, <|channel|>, <|end|> tokens)
Mix of knowledge Q&A, coding tasks, and multi-step tool-use conversations
Tool-use examples include
Read — file reading with offset/limit
Grep — pattern search across files
Glob — file discovery
Bash… See the full description on the dataset page: https://huggingface.co/datasets/deburky/gpt-oss-claude-code.gpt-oss-120B-distilled-math-OpenAI-Harmony
📚 Dataset Overview
Data Source Model: gpt-oss-120bTask Type: Mathematical Problem SolvingData Format: JSON Lines (.jsonl)Fields: Generator, Category, Input, Output
Note: If you are using this template for training, please make sure the format is correct before starting.Since this template is still under continuous improvement and learning, it may not be fully complete yet. I appreciate your understanding.
📈 Core Statistics
Generated complete reasoning processes… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/gpt-oss-120B-distilled-math-OpenAI-Harmony.GPT-OSS-20B-MoE-expert-activations
GPT-OSS-20B MoE Expert Activations
This dataset contains router activation patterns and expert selection data from OpenAI's GPT-OSS-20B mixture-of-experts model during text generation across diverse evaluation benchmarks.
Dataset Description
GPT-OSS-20B is OpenAI's open-weight mixture-of-experts language model with 21B total parameters and 3.6B active parameters per token. This dataset captures the internal routing decisions made by the model's router networks when… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/GPT-OSS-20B-MoE-expert-activations.eurorad-gpt-oss-training-data
Benchmarking and Adapting On-Device Large Language Models for Clinical Decision Support
Authors
Alif Munim* 1,
Jun Ma* 1,2,
Omar Ibrahim* 1,
Alhusain Abdalla* 1,
Shuolin Yin3,
Leo Chen4,
Bo Wang† 1,5,6,7,8
* Equal contribution † Corresponding author
1AI Collaborative Centre, University Health Network, Toronto, Canada
2Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
3Department of… See the full description on the dataset page: https://huggingface.co/datasets/wanglab/eurorad-gpt-oss-training-data.gptoss20b-bilingual-curriculum-sft
gpt-oss-20b Bilingual Curriculum SFT
Synthetic bilingual supervised fine-tuning data generated with gpt-oss-20b (MoE, ~3.6B active params, native MXFP4, adaptive reasoning effort by difficulty).
Domains: mathematics, physics, chemistry, biology, computer science, general science, general knowledge, conversation.
Languages: Turkish and English.
Difficulty levels: 1-8.
The dataset is synthetic and should be independently evaluated before production use.
gpt-oss-20b-reasoning-traces
GPT-OSS-20B Reasoning Traces
3,333 reasoning traces generated by openai/gpt-oss-20b and filtered for clean, terminating reasoning. It was built to distill GPT-OSS's tight reasoning style into smaller models, and is the training set behind iAmBoosted/Qwen3.5-9B-OSS-Distilled.
What's in it
Each record pairs a prompt with GPT-OSS-20B's full reasoning trace and final answer, in chat-message form, ready for supervised fine-tuning (SFT).
~4,000 raw traces were generated, then… See the full description on the dataset page: https://huggingface.co/datasets/iAmBoosted/gpt-oss-20b-reasoning-traces.Superior-Reasoning-SFT-gpt-oss-120b
Superior-Reasoning-SFT-gpt-oss-120b
🚀 Overview
The Superior-Reasoning-SFT-gpt-oss-120b dataset is a high-quality, open-source collection containing 435K samples designed to democratize the training of high-performance Long Chain-of-Thought (Long-CoT) models. Unlike standard distilled datasets that rely on random sampling or heuristic filtering, Superior-Reasoning-SFT-gpt-oss-120b is constructed using a principled Distribution-Aligned Sequence… See the full description on the dataset page: https://huggingface.co/datasets/prabinh/Superior-Reasoning-SFT-gpt-oss-120b.