Datasets:
File size: 3,241 Bytes
8d22f23 b905a79 8d22f23 9bd7529 8d22f23 9bd7529 8d22f23 9bd7529 8d22f23 9bd7529 8d22f23 9bd7529 8d22f23 bc4173e 9bd7529 bc4173e 9bd7529 8d22f23 9bd7529 8d22f23 9bd7529 8d22f23 9bd7529 8d22f23 b905a79 8d22f23 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 | ---
license: apache-2.0
task_categories:
- graph-ml
language:
- en
tags:
- mathematics
- lean4
- mathlib
- dependency-graph
- formal-verification
size_categories:
- 100K<n<1M
---
# MathlibGraph: Mathlib Dependency Graph Dataset
Dependency graph of [Mathlib](https://github.com/leanprover-community/mathlib4) (commit [`534cf0b`](https://github.com/leanprover-community/mathlib4/commit/534cf0b), 2 Feb 2026), the largest formal mathematics library for Lean 4.
## Files
| File | Rows | Unique entries | Description |
|------|------|----------------|-------------|
| `mathlib_nodes.csv` | 317,655 | 308,129 declarations | Mathlib declarations (name, kind, module) |
| `mathlib_edges.csv` | 8,436,366 | 8,436,366 edges | Mathlib dependencies (source, target, is_explicit) |
| `nodes.csv` | 633,364 | — | Full environment (Lean + Std + Mathlib) |
| `edges.csv` | 10,889,011 | — | Full environment edges |
> **Note:** `mathlib_nodes.csv` contains 9,526 duplicate name rows produced by `@[to_additive]` mirroring. After deduplication, there are **308,129 unique declarations** — the figure used throughout the paper.
## Statistics (308,129 unique Mathlib declarations)
| Kind | Count | % |
|------|-------|---|
| theorem | 243,725 | 79.1% |
| definition | 48,664 | 15.8% |
| abbrev | 6,667 | 2.2% |
| constructor | 4,755 | 1.5% |
| inductive | 3,813 | 1.2% |
| opaque | 499 | 0.2% |
| quotient | 3 | <0.1% |
| axiom | 3 | <0.1% |
## Quick Start
```python
from datasets import load_dataset
import pandas as pd
nodes = load_dataset("MathNetwork/MathlibGraph",
data_files="mathlib_nodes.csv", split="train").to_pandas()
edges = load_dataset("MathNetwork/MathlibGraph",
data_files="mathlib_edges.csv", split="train").to_pandas()
# Deduplicate nodes (9,526 @[to_additive] mirrors)
nodes = nodes.drop_duplicates(subset="name", keep="first")
print(f"Declarations: {len(nodes):,}, Edges: {len(edges):,}")
# Output: Declarations: 308,129, Edges: 8,436,366
```
## Extraction Pipeline
- **Nodes**: [lean4export](https://github.com/leanprover/lean4export) (official leanprover tool)
- **Edges**: [lean-training-data premises](https://github.com/kim-em/lean-training-data) (Kim Morrison, Mathlib maintainer)
- **Filtering**: premises whitelist method — `lake exe premises Mathlib` outputs only Mathlib declarations, which we use to filter the full lean4export output
## Schema
### mathlib_nodes.csv
| Column | Type | Description |
|--------|------|-------------|
| name | string | Fully qualified declaration name (e.g., `CategoryTheory.Functor.comp_id`) |
| kind | string | `theorem`, `definition`, `abbrev`, `inductive`, `constructor`, `opaque`, `axiom`, `quotient` |
| module | string | Lean module (e.g., `CategoryTheory.Functor`) |
### mathlib_edges.csv
| Column | Type | Description |
|--------|------|-------------|
| source | string | Dependent declaration |
| target | string | Dependency (premise) |
| is_explicit | bool | Appears in explicit arguments |
| is_simplifier | bool | Used by simplifier |
## Citation
Part of the [MathlibGraph](https://github.com/MathNetwork/MathlibGraph) project — network analysis of formalized mathematics.
## License
Apache 2.0
|