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README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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task_categories:
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- graph-ml
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language:
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- en
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tags:
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- mathematics
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- lean4
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- mathlib
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- dependency-graph
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- formal-verification
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size_categories:
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- 100K<n<1M
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---
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# MathFactor: Mathlib Dependency Graph Dataset
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Dependency graph of [Mathlib](https://github.com/leanprover-community/mathlib4) (v4.28.0-rc1), the largest formal mathematics library for Lean 4.
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## Files
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| File | Rows | Description |
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|------|------|-------------|
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| `mathlib_nodes.csv` | 347,356 | Mathlib declarations (name, kind, module) |
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| `mathlib_edges.csv` | 10,417,589 | Mathlib dependencies (source, target, is_explicit) |
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| `nodes.csv` | 633,364 | Full environment (Lean + Std + Mathlib) |
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| `edges.csv` | 10,889,011 | Full environment edges |
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## Statistics (Mathlib only)
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| Kind | Count | % |
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|------|-------|---|
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| theorem | 273,767 | 78.8% |
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| definition | 55,671 | 16.0% |
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| abbrev | 7,490 | 2.2% |
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| constructor | 5,436 | 1.6% |
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| inductive | 4,297 | 1.2% |
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| other | 695 | 0.2% |
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## Quick Start
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```python
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from huggingface_hub import hf_hub_download
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import pandas as pd
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nodes = pd.read_csv(hf_hub_download("Xinze-Li-Moqian/mathfactor", "mathlib_nodes.csv", repo_type="dataset"))
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edges = pd.read_csv(hf_hub_download("Xinze-Li-Moqian/mathfactor", "mathlib_edges.csv", repo_type="dataset"))
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print(f"Nodes: {len(nodes)}, Edges: {len(edges)}")
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# Output: Nodes: 347356, Edges: 10417589
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```
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## Extraction Pipeline
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- **Nodes**: [lean4export](https://github.com/leanprover/lean4export) (official leanprover tool)
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- **Edges**: [lean-training-data premises](https://github.com/kim-em/lean-training-data) (Kim Morrison, Mathlib maintainer)
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- **Filtering**: premises whitelist method — `lake exe premises Mathlib` outputs only Mathlib declarations, which we use to filter the full lean4export output
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## Schema
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### mathlib_nodes.csv
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| Column | Type | Description |
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|--------|------|-------------|
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| name | string | Declaration name (e.g., `CategoryTheory.Functor.comp_id`) |
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| kind | string | `theorem`, `definition`, `abbrev`, `inductive`, `constructor`, etc. |
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| module | string | Lean namespace (e.g., `CategoryTheory.Functor`) |
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### mathlib_edges.csv
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| Column | Type | Description |
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|--------|------|-------------|
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| source | string | Dependent declaration |
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| target | string | Dependency |
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| is_explicit | bool | Appears in explicit arguments |
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| is_simplifier | bool | Used by simplifier |
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## Citation
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Part of the [MathFactor](https://github.com/Xinze-Li-Moqian/MathFactor) project — network science analysis of mathematical knowledge.
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## License
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Apache 2.0
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