datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hle-gpt-oss-120b-no-python-260222
hle-gpt-oss-120b-no-python-260222
Deep research agent evaluation on rl-rag/hle_text_only (test split).
Results
Metric
Value
pass@4
47.9%
avg@4
26.6%
Trajectory accuracy
26.6% (2292/8632)
Questions
2158
Trajectories
8632 (4 per question)
Avg tool calls
14.5
Full conversations
❌
Model & Setup
Model
gpt-oss-120b
Judge
gpt-4o
Max tool calls
50
Temperature
0.7
Blocked domains
huggingface.co
Tool Usage… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/hle-gpt-oss-120b-no-python-260222.gpt-oss-20b-moe-expert-power-traces-320k
GPT-OSS-20B MoE Expert Power Traces (320k, ChipWhisperer)
This dataset contains analog power traces captured with a ChipWhisperer Husky while running forced single-expert MoE computations derived from openai/gpt-oss-20b on an NVIDIA H100.
What is recorded
Each trace corresponds to one capture trial where:
A fixed expert id is selected (expert_00 ... expert_31).
A random hidden-state tensor is generated once per trial.
The selected expert computation is executed… See the full description on the dataset page: https://huggingface.co/datasets/masterpieceexternal/gpt-oss-20b-moe-expert-power-traces-320k.gpt-oss-120bSuperior-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.browsecomp-gpt-oss-120b-260222
browsecomp-gpt-oss-120b-260222
Deep research agent evaluation on data/browsecomp.jsonl (normal split).
Results
Metric
Value
pass@4
46.8%
avg@4
23.9%
Trajectory accuracy
23.9% (1211/5064)
Questions
1266
Trajectories
5064 (4 per question)
Avg tool calls
26.1
Full conversations
✅
Model & Setup
Model
gpt-oss-120b
Judge
gpt-4o
Max tool calls
50
Temperature
0.7
Blocked domains
huggingface.co
Tool Usage… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-gpt-oss-120b-260222.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.browsecomp-no-scroll-gpt-oss-120b
browsecomp-no-scroll-gpt-oss-120b
Deep research agent evaluation on data/browsecomp.jsonl (normal split).
Results
Metric
Value
pass@4
46.0%
avg@4
22.9%
Trajectory accuracy
22.9% (1160/5064)
Questions
1266
Trajectories
5064 (4 per question)
Avg tool calls
27.0
Full conversations
❌
Model & Setup
Model
gpt-oss-120b
Judge
gpt-4o
Max tool calls
50
Temperature
0.7
Blocked domains
huggingface.co
Tool… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-no-scroll-gpt-oss-120b.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.browsecomp-high-effort-gpt-oss-120b
browsecomp-high-effort-gpt-oss-120b
Deep research agent evaluation on data/browsecomp.jsonl (normal split).
Results
Metric
Value
pass@4
44.1%
avg@4
22.9%
Trajectory accuracy
22.9% (1158/5064)
Questions
1266
Trajectories
5064 (4 per question)
Avg tool calls
55.4
Full conversations
❌
Model & Setup
Model
gpt-oss-120b
Judge
gpt-4o
Max tool calls
100
Temperature
0.7
Blocked domains
huggingface.co
Tool… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-high-effort-gpt-oss-120b.gpt-oss-20b-combined-outputsMedical-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.gpt-oss-120b-high-reasoning-firsthalf-g2-statsPrivate artifact repo for GPT-OSS-120B G^2 collection.
Selection:
dataset: aimosprite/high-reasoning-eval
usage half: partitions 0,1,2
selected traces: 183
Contents:
g2_stats/: per-layer sum_g2 safetensors for routed MoE weights
selected_traces_manifest.json: trace selection manifest
selected_traces.jsonl: exact selected traces used for stats collection
Run family:
shared base strategy: zero
target rank for downstream materialization: 256
model: unsloth/gpt-oss-120b-BF16
gpt-oss-20b-rollouts
GPT-OSS-20B Rollouts
Generated rollouts from GPT-OSS-20B with parsed Harmony channels (assistant thinking/final).
Schema: user_content, system_reasoning_effort, assistant_thinking, assistant_content.
Loading example: load_dataset("andyrdt/gpt-oss-20b-rollouts", "HarmBench", split="standard_train").
Notes
This repository uses manual configuration to expose both subset (config) and split dropdowns in the viewer.
Safety and jailbreak
HarmBench: Safety prompts… See the full description on the dataset page: https://huggingface.co/datasets/andyrdt/gpt-oss-20b-rollouts.browsecomp-gpt-oss-120b-v2
BrowseComp GPT-oss-120B Evaluation (v2)
Deep research agent evaluation on BrowseComp using GPT-oss-120B with the elastic-serving OSS engine.
Results
Metric
Value
pass@1
37.9%
Questions
1,266
Correct
480/1,266
Success rate
1132/1,266
Avg tool calls
~61
Judge
GPT-4.1
Model & Setup
Setting
Value
Model
GPT-oss-120B
Engine
elastic-serving OSS (Harmony protocol)
Reasoning effort
high
Max turns
unlimited (until model… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-gpt-oss-120b-v2.hle-gpt-oss-120b-with-python-260222
hle-gpt-oss-120b-with-python-260222
Deep research agent evaluation on unknown.
Results
Metric
Value
pass@4
39.5%
avg@4
17.5%
Trajectory accuracy
17.4% (1860/10660)
Questions
1350
Trajectories
10660 (4 per question)
Avg tool calls
0.0
Full conversations
❌
Model & Setup
Model
unknown
Judge
gpt-4o
Max tool calls
50
Temperature
0.7
Blocked domainsNone
Tool Usage
Tool
Calls
%… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/hle-gpt-oss-120b-with-python-260222.SimpleDeco-gptoss20bbrowsecomp-high-effort-full-gpt-oss-120b
browsecomp-high-effort-full-gpt-oss-120b
Deep research agent evaluation on data/browsecomp.jsonl (normal split).
Results
Metric
Value
pass@1
20.9%
avg@1
20.9%
Trajectory accuracy
20.9% (264/1266)
Questions
1266
Trajectories
1266 (1 per question)
Avg tool calls
52.9
Full conversations
✅
Model & Setup
Model
gpt-oss-120b
Judge
gpt-4o
Max tool calls
100
Temperature
0.7
Blocked domains
huggingface.co… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-high-effort-full-gpt-oss-120b.gpt_oss_20b_doorkey_boundary_activationsgpt-oss120b-generated-perfectblendbrowsecomp-oss-env-high-effort-gpt-oss-120b
browsecomp-oss-env-high-effort-gpt-oss-120b
Deep research agent evaluation on data/browsecomp.jsonl (normal split).
Results
Metric
Value
pass@1
19.4%
avg@1
19.4%
Trajectory accuracy
19.4% (245/1266)
Questions
1266
Trajectories
1266 (1 per question)
Avg tool calls
52.5
Full conversations
✅
Model & Setup
Model
gpt-oss-120b
Judge
gpt-4o
Max tool calls
100
Temperature
0.7
Blocked domains
huggingface.co… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-oss-env-high-effort-gpt-oss-120b.gpt-oss-20b-moe-expert-power-traces-320k-ds16k
GPT-OSS-20B MoE Expert Power Traces (Downsampled to 16k)
Downsampled variant of the 320k expert-trace capture set.
Source
Raw source dataset (same captures):
32 experts (expert_00..expert_31)
10,000 traces per expert
320,000 total traces
raw trace length ~195k samples per trace
Downsampling method
Each raw trace was resampled to exactly 16384 samples using linear interpolation (np.interp) matching the trainer resampling step.
No baseline normalization and no… See the full description on the dataset page: https://huggingface.co/datasets/masterpieceexternal/gpt-oss-20b-moe-expert-power-traces-320k-ds16k.gpt-oss-sampledgpt-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-10k
gpt-oss-120b-10k
Repo: tytodd/gpt-oss-120b-10k
Config: /Users/tytodd/Desktop/Modaic/code/core/probe-lab/configs/datasets/10k/10k.yaml
Model: openai/gpt-oss-120b
Runtime: Modal local vLLM on localhost
benchmark
train
val
ood
all
customer_support_tickets_gorkem
1.70%
0.00%
1.55%
mfrc
0.00%
0.00%
0.00%
go_emotions
11.56%
6.90%
11.15%
customer_support_tickets_en
30.27%
20.69%
29.41%
aes2_essay_scoring
26.87%
20.69%
26.32%
ultrafeedback
35.71%
48.28%
36.84%… See the full description on the dataset page: https://huggingface.co/datasets/tytodd/gpt-oss-120b-10k.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.zelo-scores-10kx100-gpt-oss-20bgpt-oss20b-samples-dedupA simple deduplicated variant of https://huggingface.co/datasets/jxm/gpt-oss20b-samples
Given the predictability of synthetic data we opted for a simple strategy: keeping the unique combinations of first and last ten words. Total count of unique occurrences is available in the column occurrence_count.
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.gpt-oss-120b-mandarin-thinking-eval-logs-and-scores
