Duplicate from Kassadin88/GLM-5.1-1000000x

Co-authored-by: Kassadin <Kassadin88@users.noreply.huggingface.co>

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Math.jsonl

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PHD-Science.jsonl

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README.md

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+---
+license: apache-2.0
+language:
+- en
+- zh
+size_categories:
+- n>1M
+task_categories:
+- text-generation
+- question-answering
+tags:
+- reasoning
+- chain-of-thought
+- instruction-tuning
+- sft
+- distillation
+- glm
+- glm-5.1
+configs:
+  - config_name: main
+    data_files:
+      - split: train
+        path: "main.jsonl"
+  - config_name: PHD-Science
+    data_files:
+      - split: train
+        path: "PHD-Science.jsonl"
+  - config_name: Multilingual-STEM
+    data_files:
+      - split: train
+        path: "Multilingual-STEM.jsonl"
+  - config_name: Math
+    data_files:
+      - split: train
+        path: "Math.jsonl"
+---
+
+<div align="center">
+<img src="https://raw.githubusercontent.com/zai-org/GLM-5/refs/heads/main/resources/logo.svg" width="15%" />
+</div>
+
+# GLM-5.1-1000000x
+
+**1,003,589** reasoning traces distilled by **GLM-5.1**, using questions from [KIMI-K2.5-1000000x](https://huggingface.co/datasets/ianncity/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.
+>
+> ████████████████████████████████ 100%
+
+---
+
+## Data Distribution
+
+| Subset | Count | Proportion | Est. Tokens | Domain |
+|--------|------:|:----------:|:-----------:|--------|
+| main | 598,366 | 59.6% | ~3.04B | General reasoning & instruction-following |
+| Math | 208,426 | 20.8% | ~1.30B | Mathematics |
+| PHD-Science | 103,759 | 10.3% | ~0.56B | Graduate-level Physics, Chemistry, Biology |
+| Multilingual-STEM | 93,038 | 9.3% | ~0.46B | STEM in Chinese, English & other languages |
+| **Total** | **1,003,589** | **100%** | **~5.36B** | |
+
+## Dataset Statistics
+
+| Metric | Value |
+|--------|-------|
+| Total Records | 1,003,589 |
+| Total Estimated Tokens | ~5.36B |
+| Avg. Tokens per Record | ~5,338 |
+
+## How to Use
+
+```python
+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:
+
+```json
+{
+  "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
+
+```bibtex
+@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](https://huggingface.co/datasets/ianncity/KIMI-K2.5-1000000x)
+- Teacher model: [GLM-5.1](https://huggingface.co/zai-org/GLM-5.1)

main.jsonl

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