Datasets:
language:
- en
- code
license: cc-by-4.0
task_categories:
- translation
tags:
- formal-verification
- theorem-proving
- interactive-theorem-provers
- lean4
- rocq
- coq
- isabelle
- hol-light
- code-translation
pretty_name: ITPEval
size_categories:
- 1K<n<10K
ITPEval: Benchmarking Formal Translation Across Interactive Theorem Provers
ITPEval is a benchmark for evaluating automated formal proof translation across four major interactive theorem provers (ITPs) spanning two logical foundations. It accompanies the paper ITPEval: Benchmarking Formal Translation Across Interactive Theorem Provers.
Dataset Summary
The benchmark comprises 390 aligned files spanning over 1,700 theorems and lemmas, each formalized in all four ITPs:
| ITP | Foundation | File Extension |
|---|---|---|
| Lean 4 | Calculus of Inductive Constructions | .lean |
| Rocq (Coq) | Calculus of Inductive Constructions | .v |
| Isabelle/HOL | Higher-order logic | .thy |
| HOL Light | Higher-order logic | .ml |
Every theorem is present in all four ITPs (4-way intersection), yielding 12 balanced directed translation pairs per file.
Data Files
| File | Records | Description |
|---|---|---|
stmts.json |
1,560 | Sorry-stripped theorem statements (390 theorems × 4 ITPs) |
proofs.json |
296 | Full proof files (74 theorems × 4 ITPs) |
Record Schema
Each record is a JSON object with the following fields:
| Field | Type | Description |
|---|---|---|
theorem_id |
int | Globally unique theorem identifier (1–390) |
title |
string | Theorem name (e.g., "circle_average", "aime_1983_p1") |
source |
string | Benchmark source: "babel-formal", "hundred-theorems", or "minif2f" |
tier |
string | "a" (controlled/axiomatized) or "b" (ecosystem/library-dependent) |
prover |
string | ITP system: "lean4", "rocq", "isabelle", or "hol-light" |
content |
string | Full file text (statement-only for stmts.json, complete proof for proofs.json) |
split |
string | (miniF2F only) "test" or "valid" |
Benchmark Structure
The benchmark is organized into two tiers:
| Tier | Source | Files | Lemmas | Description |
|---|---|---|---|---|
| A (Controlled) | Babel-formal | 16 | 165 | Self-contained, axiomatized theorems. Isolates foundational translation difficulty. |
| B (Ecosystem) | Hundred Theorems | 58 | 1,231 | Classical theorems from real ITP libraries. Tests library API and tactic translation. |
| B (Ecosystem) | miniF2F | 316 | 316 | Competition math statements. Tests pure statement translation. |
Translation modes:
- Statement translation (
stmts.json): All 390 files. Source file has proof bodies replaced by placeholders (sorry,Admitted, etc.). Yields 4,680 directed pairs per model (390 × 12 directions). - Proof translation (
proofs.json): Babel-formal + Hundred Theorems (74 files). Source file contains the complete proof. Yields 888 directed pairs per model (74 × 12 directions).
Usage
import json
# Load data
stmts = json.load(open("stmts.json")) # 1,560 records
proofs = json.load(open("proofs.json")) # 296 records
# All Lean 4 statements
lean4_stmts = [r for r in stmts if r["prover"] == "lean4"]
# All 4 ITP variants of one theorem
theorem_1 = [r for r in stmts if r["theorem_id"] == 1]
# Generate all directed translation pairs for a theorem
def translation_pairs(records, theorem_id):
variants = [r for r in records if r["theorem_id"] == theorem_id]
pairs = []
for src in variants:
for tgt in variants:
if src["prover"] != tgt["prover"]:
pairs.append({"src": src, "tgt_prover": tgt["prover"]})
return pairs
# Tier A only (controlled)
tier_a = [r for r in stmts if r["tier"] == "a"]
# miniF2F test split
minif2f_test = [r for r in stmts if r["source"] == "minif2f" and r.get("split") == "test"]
Evaluation Protocol
For each (source file, target ITP) pair:
- Prompt an LLM with the source file and the target ITP name
- The LLM generates a complete file in the target ITP
- Run the generated file through the target ITP binary
- Mark as verified if and only if the ITP exits with code 0 (no errors, no partial credit)
Per-prover timeouts: Lean 4 and Rocq at 60s, Isabelle at 120s, HOL Light at 300s.
Key Results
With five LLMs (GPT-5.5, Claude Sonnet 4.6, Gemini 3.1 Pro, DeepSeek-V4-Pro, Qwen3-235B), evaluated zero-shot at temperature 0:
- Statement translation peaks at 29.1% pass@1; proof translation peaks at 10.5%
- Tier A (controlled) reaches 29.7% proof pass@1 vs. 5.2% for Tier B (ecosystem)
- Translation direction matters sharply: e.g., Lean 4 → Isabelle (19.8%) vs. Isabelle → Lean 4 (1.9%)
License
This dataset is released under CC BY 4.0. Individual formalizations may inherit licenses from their upstream sources (Mathlib, Archive of Formal Proofs, HOL Light core, MathComp, miniF2F).