Datasets:
add SFT dataset + README
Browse files- .gitattributes +1 -0
- README.md +59 -0
- distill_merged_sft.jsonl +3 -0
.gitattributes
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# Video files - compressed
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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*.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language:
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- en
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license: apache-2.0
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task_categories:
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- conversational
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- text-generation
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tags:
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- reasoning
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- distillation
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- sft
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- deepseek
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- kimi
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- qwen
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size_categories:
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- 10K<n<100K
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---
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# distill-sft-26k
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A merged SFT dataset of **25,973** high-quality reasoning conversations distilled from three frontier models.
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## Source Datasets
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| Source | Rows | Reasoning | Domain |
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|--------|------|-----------|--------|
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| Spakie/DeepSeek-V4-Pro-distilled | 17,670 | No | General |
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| trjxter/Kimi-K2.6-Reasoning-3300x-WandB | 3,303 | Yes (all, ``) | General / Science / Math |
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| WithinUsAI/Qwen3.7_Max_Thinking_dataset_5K | 5,000 | Yes (all) | Math / Science |
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## Format
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Standard chat format with optional reasoning:
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```json
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{
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"messages": [
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{"role": "user", "content": "..."},
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{"role": "assistant", "content": "...", "reasoning_content": "..."}
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],
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"source": "deepseek_v4_pro | kimi_k2_6 | qwen3_7_max",
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"domain": "general | science | math",
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"id": "..."
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}
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```
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- `reasoning_content` present on 8,303 rows (32%)
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- Shuffled with seed=42
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## Loading
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```python
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from datasets import load_dataset
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ds = load_dataset("GenueAI/distill-sft-26k", split="train")
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```
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## License
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Apache 2.0. See source dataset licenses for details.
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distill_merged_sft.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c127792fd92fdec9f18d592f1abedb66b87f60aabf1ac844fd90a376257c42a
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size 51303844
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