Jackrong/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… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/Natural-Reasoning-gpt-oss-120B-S1.
| Author / organization | Jackrong |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 139 (as reported by Hugging Face) |
| Likes | 23 |
| Created | 20 September 2025 |
| Last updated at source | 14 October 2025 |
Popularity, last 4 days
139 now (+2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- Dzluck/gpt-oss-120b-Distill-Phi-4-14B-GGUFModel · used to train
- Jackrong/gpt-oss-120b-Distill-Phi-4-14B-GGUFModel · used to train
- mradermacher/GPT-Distill-Qwen3-8B-Thinking-i1-GGUFModel · used to train
- Jackrong/gpt-oss-120b-Distill-Llama3.1-8B-v2Model · used to train
- Jackrong/gpt-oss-120b-Distill-Llama3.1-8B-v2-GGUFModel · used to train
- mradermacher/gpt-oss-120b-Distill-Qwen3-4B-Thinking-i1-GGUFModel · used to train
- mradermacher/gpt-oss-120b-Distill-Qwen3-4B-Thinking-GGUFModel · used to train
- mradermacher/gpt-oss-120b-Distill-Llama3.1-8B-v2-i1-GGUFModel · used to train
- mradermacher/GPT-Distill-Qwen3-8B-Thinking-GGUFModel · used to train
Recent changes
- 16 Oct 2026 Description: 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 → 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
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