frontier-reasoning
frontier-reasoning-traces-sft
Frontier Traces SFT
A merged SFT dataset of almost 40k examples drawn from 11 frontier-model trace datasets.
Schema
Each row has two columns:
messages list of {role, content} dicts (standard chat format).
source_model string identifying the originating model.
Sources
Dataset
Source Model
Rows
crownelius/Opus-4.6-Reasoning-2100x
Claude Opus 4.6
2,160
TeichAI/claude-4.5-opus-high-reasoning-250x
Claude Opus 4.5
250… See the full description on the dataset page: https://huggingface.co/datasets/SultanR/frontier-reasoning-traces-sft.adaption-frontier-synthetic-reasoning
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-frontier_synthetic_reasoning
A dataset of 200 synthetic reasoning examples generated by Qwen3.6-35B, covering domains like math, algorithms, and game theory. Each sample features a structured six-phase chain-of-thought (Understand, Decompose, Explore, Execute, Verify, Reflect) designed to elicit frontier-level problem-solving capabilities. The data includes explicit… See the full description on the dataset page: https://huggingface.co/datasets/himanshunakrani9/adaption-frontier-synthetic-reasoning.Sehaj-Gurmukhi-Frontier-Reasoning
🧠 Punjabi (Gurmukhi) Frontier Reasoning & Longevity AI Corpus
Punjabi (Gurmukhi) Frontier Reasoning (ਪੰਜਾਬੀ ਗੁਰਮੁਖੀ ਡਾਟਾਸੈੱਟ) is a high-density, multi-domain Punjabi dataset engineered for training next-generation intelligent Punjabi AI models.
🔍 Search & Discovery Keywords
Language: Punjabi / Gurmukhi (ਪੰਜਾਬੀ / ਗੁਰਮੁਖੀ)
Domains: Quantum Science, Higher Mathematics, Computer Science, Longevity Vitals, and Classical Philosophy in Punjabi.
📊 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Nam-toon-studio/Sehaj-Gurmukhi-Frontier-Reasoning.adaption-frontier-synthetic-reasoning-v1
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-frontier_synthetic_reasoning
A dataset of 200 synthetic reasoning examples generated by Qwen3.6-35B, covering domains like math, algorithms, and game theory. Each sample features a structured six-phase chain-of-thought (Understand, Decompose, Explore, Execute, Verify, Reflect) designed to elicit frontier-level problem-solving capabilities. The data includes explicit… See the full description on the dataset page: https://huggingface.co/datasets/himanshunakrani9/adaption-frontier-synthetic-reasoning-v1.