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YAML Metadata Warning:The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

distill-sft-26k

A merged SFT dataset of 25,973 high-quality reasoning conversations distilled from three frontier models.

Source Datasets

Source Rows Reasoning Domain
Spakie/DeepSeek-V4-Pro-distilled 17,670 No General
trjxter/Kimi-K2.6-Reasoning-3300x-WandB 3,303 Yes (all, ``) General / Science / Math
WithinUsAI/Qwen3.7_Max_Thinking_dataset_5K 5,000 Yes (all) Math / Science

Format

Standard chat format with optional reasoning:

{
  "messages": [
    {"role": "user", "content": "..."},
    {"role": "assistant", "content": "...", "reasoning_content": "..."}
  ],
  "source": "deepseek_v4_pro | kimi_k2_6 | qwen3_7_max",
  "___domain": "general | science | math",
  "id": "..."
}
  • reasoning_content present on 8,303 rows (32%)
  • Shuffled with seed=42

Loading

from datasets import load_dataset
ds = load_dataset("GenueAI/distill-sft-26k", split="train")

License

Apache 2.0. See source dataset licenses for details.

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