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
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.gpt_oss_20b_doorkey_boundary_activationsgpt-oss120b-generated-perfectblendgpt-oss-eval-logs-and-scores
This repository contains the detailed evaluation results of gpt-oss models, tested using Twinkle Eval, a robust and efficient AI evaluation tool developed by Twinkle AI. Each entry includes per-question scores across multiple benchmark suites.
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.gpt-oss-120b-mandarin-thinking-eval-logs-and-scoresgpt-oss-20b-mandarin-thinking-eval-logs-and-scoresbrowsecomp-gptoss-clean-qwen35-sft
BrowseComp GPT-oss SFT Data (Qwen3.5 Format)
Multi-turn SFT training data for Qwen3.5 models, converted from GPT-oss-120B
BrowseComp trajectories. Available in two formats.
Files
OpenAI Messages Format (recommended for general use)
browsecomp-gptoss-clean-full-messages.json — 372 examples, standard messages format with tool_calls
LLaMA-Factory ShareGPT Format
browsecomp-gptoss-clean-full.json — 372 examples, LLaMA-Factory sharegpt format… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-gptoss-clean-qwen35-sft.wixqa-gpt-oss-120b-all-MiniLM-L6-v2-pgvector-evalsgpt-oss120b-generated-magpie-1m-v0.1gpt_oss_maze_acts_120_m11_v1Natural-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
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/0xzanuee/Superior-Reasoning-SFT-gpt-oss-120b.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.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.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.GPT-OSS-120B-Distilled-Reasoning-math
GPT-oss-120B-Distilled-Reasoning-math Dataset
Data Source Model: gpt-oss-120bTask Type: Mathematical Problem SolvingData Format: JSON Lines
Fields: Generator, Category, Input, CoT_Native_Reasoning, Reasoning, Answer
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… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/GPT-OSS-120B-Distilled-Reasoning-math.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.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.ShareGPT-gpt-oss-120B-reasoning
ShareGPT-style multi-turn distillation with gpt-oss-120B (reasoning) teacher.
There is a misannotation in the generation section: I used medium‑reasoning dialogues (which fit within the context window), whereas high‑reasoning multi‑turn conversations would exceed it. Originally, when annotating, I intended to use high‑reasoning ones.
prompt-injection-artificial-GPTOSS120b
Prompt Injection (Synthetic) — GPT-OSS-120b
This dataset contains a small collection of synthetic user prompts and Noraml user prompts designed to finetune Large Language Models (LLMs) against malicious prompt-injection / jailbreak attempts, including cases that use obfuscation (e.g., Base64, leetspeak, typos, irregular spacing) to evade safety filters.
Dataset Summary
Source repository: Lilbullet/prompt-injection-artificial-GPTOSS120b
Model used: GPT-OSS-120b
Generation… See the full description on the dataset page: https://huggingface.co/datasets/Lilbullet/prompt-injection-artificial-GPTOSS120b.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.MuSeR_GPT_OSS_120B_DistillationThis dataset contains ~100k synthetic medical queries and corresponding responses distilled from GPT-OSS-120B.
The generation of synthetic medical queries follows an attribute-conditioned generation method proposed in paper Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning.
We found that supervised fine-tuning on this dataset can substantially improve LLMs' medical conversational capabilities. See our paper and project page for more details.
If… See the full description on the dataset page: https://huggingface.co/datasets/zyx1234/MuSeR_GPT_OSS_120B_Distillation.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-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.gpt-oss-20b-MedXpertQA-benchmarkBenchmark of openai/gpt-oss-20b against TsinghuaC3I/MedXpertQA dataset, "Text" subset, "test" split.
Accuracy: 27.1%.
Metric
Value
Correct
664
Incorrect
1785
Errors
1
Total samples
2450
Total completion tokens
3,163,003
Raw stats:
{
"accuracy": 0.271,
"correct": 664,
"incorrect": 1785,
"error": 1,
"total": 2450,
"completion_tokens": 3163003
}
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.bushcraft_survival_gpt_oss_data_distilled
🧟 ZombieLLM — Bushcraft Survival Distilled by GPT-OSS-20B
A distilled instruction–response dataset built for the ZombieLLM project.We reanimated CoT_Reasoning_Bushcraft_Survival by keeping its survival questions and replacing the original chain-of-thought (CoT) answers with concise, high-quality final-only responses generated by GPT-OSS-20B using the Harmony chat template.
This dataset was used in the domain tuning stage of ZombieLLM, injecting survival knowledge and grounding… See the full description on the dataset page: https://huggingface.co/datasets/hardrave/bushcraft_survival_gpt_oss_data_distilled.gpt_oss_120b_sf_all_correctTRIM-gpt-oss-120b-separate-neighbors-only-para-random-feature-num
TRIM Agent Reasoning Messages (HF Public Export)
This directory is a Hugging Face-friendly public export of the TRIM agent reasoning SFT data.
What Is Included
Provider: vllm
Model: gpt-oss-120b
SFT mode: local_neighbor_only
Splits present: train
Records in this export manifest: 10056
Tasks in this split: AMES, BBB_Martins, Bioavailability_Ma, CYP2C9_Substrate_CarbonMangels, CYP2D6_Substrate_CarbonMangels, CYP3A4_Substrate_CarbonMangels, Carcinogens_Lagunin, ClinTox… See the full description on the dataset page: https://huggingface.co/datasets/Kiria-Nozan/TRIM-gpt-oss-120b-separate-neighbors-only-para-random-feature-num.