GLM-5.1-1000000x

1,003,589 reasoning traces distilled by GLM-5.1, using questions from KIMI-K2.5-1000000x.

Each entry contains a full chain-of-thought reasoning trace followed by the final answer, generated by GLM-5.1.

Complete! All 1,003,589 prompts distilled successfully.

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Data Distribution

Dataset Statistics

How to Use

from datasets import load_dataset

# Load a specific subset
main = load_dataset("Kassadin88/GLM-5.1-1000000x", "main")
science = load_dataset("Kassadin88/GLM-5.1-1000000x", "PHD-Science")
stem = load_dataset("Kassadin88/GLM-5.1-1000000x", "Multilingual-STEM")
math = load_dataset("Kassadin88/GLM-5.1-1000000x", "Math")

Each record is a chat-formatted conversation with a chain-of-thought reasoning trace:

{
  "messages": [
    {"role": "user", "content": "Beaches and deserts collect large deposits of what? ..."},
    {"role": "assistant", "content": "<think>\n1. Analyze the question...\n2. Reasoning step...\n</think>\nSand"}
  ],
  "_id": "main_00000007"
}

• messages: user question + assistant response with CoT trace and final answer
• _id: {category}_{serial} (e.g. Math_00038225, PHD-Science_00010138)

License

Apache 2.0

Citation

@misc{glm51-1000000x,
  title={GLM-5.1-1000000x: One Million Reasoning Traces Distilled from GLM-5.1},
  author={Kassadin88},
  year={2026},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/Kassadin88/GLM-5.1-1000000x}
}

Acknowledgments

• Prompt source: KIMI-K2.5-1000000x
• Teacher model: GLM-5.1