Fix statistics: verified row counts and kind breakdown

README.md

@@ -16,39 +16,50 @@ size_categories:
 
 # MathlibGraph: Mathlib Dependency Graph Dataset
 
-Dependency graph of [Mathlib](https://github.com/leanprover-community/mathlib4) (v4.28.0-rc1), the largest formal mathematics library for Lean 4.
+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.
+
+Companion dataset for the paper: *Formalization Encodes Human Organization: A Network Analysis of Mathlib* ([arXiv:2601.22554](https://arxiv.org/abs/2601.22554)).
 
 ## Files
 
-| File | Rows | Description |
-|------|------|-------------|
-| `mathlib_nodes.csv` | 347,356 | Mathlib declarations (name, kind, module) |
-| `mathlib_edges.csv` | 10,417,589 | Mathlib dependencies (source, target, is_explicit) |
-| `nodes.csv` | 633,364 | Full environment (Lean + Std + Mathlib) |
-| `edges.csv` | 10,889,011 | Full environment edges |
+| 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 (Mathlib only)
+## Statistics (308,129 unique Mathlib declarations)
 
 | Kind | Count | % |
 |------|-------|---|
-| theorem | 273,767 | 78.8% |
-| definition | 55,671 | 16.0% |
-| abbrev | 7,490 | 2.2% |
-| constructor | 5,436 | 1.6% |
-| inductive | 4,297 | 1.2% |
-| other | 695 | 0.2% |
+| 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 huggingface_hub import hf_hub_download
+from datasets import load_dataset
 import pandas as pd
 
-nodes = pd.read_csv(hf_hub_download("Xinze-Li-Moqian/MathlibGraph", "mathlib_nodes.csv", repo_type="dataset"))
-edges = pd.read_csv(hf_hub_download("Xinze-Li-Moqian/MathlibGraph", "mathlib_edges.csv", repo_type="dataset"))
+nodes = load_dataset("Xinze-Li-Moqian/MathlibGraph",
+                     data_files="mathlib_nodes.csv", split="train").to_pandas()
+edges = load_dataset("Xinze-Li-Moqian/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"Nodes: {len(nodes)}, Edges: {len(edges)}")
-# Output: Nodes: 347356, Edges: 10417589
+print(f"Declarations: {len(nodes):,}, Edges: {len(edges):,}")
+# Output: Declarations: 308,129, Edges: 8,436,366
 ```
 
 ## Extraction Pipeline
@@ -63,16 +74,16 @@ print(f"Nodes: {len(nodes)}, Edges: {len(edges)}")
 
 | Column | Type | Description |
 |--------|------|-------------|
-| name | string | Declaration name (e.g., `CategoryTheory.Functor.comp_id`) |
-| kind | string | `theorem`, `definition`, `abbrev`, `inductive`, `constructor`, etc. |
-| module | string | Lean namespace (e.g., `CategoryTheory.Functor`) |
+| 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 |
+| target | string | Dependency (premise) |
 | is_explicit | bool | Appears in explicit arguments |
 | is_simplifier | bool | Used by simplifier |