---
license: other
license_name: multiple-upstream-licenses
language:
- en
pretty_name: Lean Proof-Ablation Eval (57 repos, compile-validated)
tags:
- formal-verification
- theorem-proving
- proof-synthesis
- lean
- lean4
- ablation
task_categories:
- text-generation
size_categories:
- 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: easy
        path: "ablation-eval/easy.jsonl"
      - split: hard
        path: "ablation-eval/hard.jsonl"
---

# Lean Proof-Ablation Eval

Syntactic proof-ablation challenges from **57 real Lean 4 repositories**
(compilers, cryptography, distributed protocols, zk circuits, program logics —
see the repo list below). Each record is a `(challenge, solution)` pair: the
challenge is a real source file with one or more lemmas **deleted** and their
in-file users **holed** (`sorry`); the solution is the original file. A solver
must re-derive the deleted lemma(s) and close the holes so the file compiles.

Every record is **compile-validated**: the challenge compiles with its holes
AND the ground-truth solution compiles hole-free, against the repo's own built
`.olean` closure at the pinned revision. Records whose challenge does not
compile (`malformed`) or whose ground truth already contained a `sorry`/axiom
(`sol_bad`) are excluded — only confirmed records ship here.

## Splits

Both splits pick the same anchor theorems (the "corollary") and delete the same
lemmas from its transitive in-file dependency closure (same seed, 42); they
differ only in how the *users* of a deleted lemma are holed:

| split | mode | what gets holed | rows | repos |
|---|---|---|---|---|
| `easy` | corollary-leaves | only the **leaf tactic steps** citing the deleted lemma; the rest of each user's proof survives | 21,692 | 57 |
| `hard` | corollary-whole | each user's **entire proof body** — solve from the statement alone | 21,718 | 57 |

Ablator flags: `--corollary-delete-lemmas-leaves-all` (easy) /
`--corollary-delete-lemmas-all` (hard), both with `--shrink-solution-minimal
--seed 42`.

## Row schema

Uniform across both splits (missing values are explicit nulls):

- **Task identity**: `task_id`, `challenge_id` (stable join key), `repo`,
  `revision`, `file_path`, `theory`, `proof_assistant`, `session`, `variant`
- **The challenge**: `challenge_file_content` (the file with deletions + holes),
  `solution_file_content` (ground truth), `solution_diff`
- **Ablation parameters**: `challenge_type`, `ablation_prob`, `seed`,
  `leaves_only`, depth/size/centrality bounds, `n_proofs`, `n_ablated`,
  `closure_size`
- **Proof-complexity features** (computed by the ablator's parser, per item):
  `holes_filled[]` (each holed user: `proof_text`, `n_tactics`, `cyclomatic`,
  `n_automation`, `max_nesting`, …), `deleted_lemmas[]` (each deleted lemma:
  `text`, `fan_in`, …), `corollaries[]` (the anchor theorem: `n_deps_direct`,
  `n_deps_transitive`, …)
- **`manifest`**: the provenance record of the per-repo ablation run this row
  came from — `git_repo`, `revision`, `lean_toolchain`, `ablator`,
  `ablator_flags`, `seed`, `validation`, and `counts`
  (`mined_total`/`good_kept`/`well_formed`/`malformed`/`sol_bad`; the last two
  are 0 when no record was rejected for that reason). All rows of one repo in
  one split share a manifest.

## Loading

```python
from datasets import load_dataset

ds = load_dataset("for-all-dev/ablation-eval")
easy, hard = ds["easy"], ds["hard"]

# one repo's worth
ryu = easy.filter(lambda r: r["manifest"]["repo"] == "ryu-lean4")
```

## Scoring a solver

Scoring is real compilation, not string match. The
[git-history-evals](https://github.com/for-all-dev/git-history-evals) scaffold's
`ablate-baseline` harness (in `baselines/`) consumes these JSONL files directly:
it splices each `challenge_file_content` into a checkout of the source repo at
`manifest.revision` (built with `manifest.lean_toolchain`), runs a ReAct agent
to close the holes, and PASSes a record only when the finished file compiles
hole-free. Repo pins for all 57 sources are in `pipeline/repos.tsv`;
`pipeline/clone_repos.sh` materialises and builds them.

```bash
uv run ablate-baseline easy.jsonl data/lean/<repo> --model <model> [--repo <name>]
# the harness runs the one repo slice matching --repo (default: the src
# directory's name), selected via each row's embedded manifest
```

## Caveat for anyone re-validating

Most *apparent* `malformed` challenges in re-runs are an artifact of an
**incomplete build** of the source tree, not of the data: `lake build` only
builds a lakefile's default target, so sibling modules can be left uncompiled
and every challenge importing one fails with `object file ... does not exist`.
Build the full closure before trusting a malformed count.

## Contamination note

All 57 upstream repos are public OSS and likely present in frontier-model
pretraining corpora. The ablations are *syntactic* and freshly generated
(deleted lemmas + holed users at a pinned revision), which makes verbatim
recall less useful than for git-history data, but prefer relative comparisons
(easy vs hard, across models) over absolute scores.

## Attribution & licenses

Each row carries its upstream provenance in `manifest.git_repo` +
`manifest.revision`. The 57 upstream repositories are distributed under their
own licenses (Apache-2.0, MIT, BSD, and others — see each repo); rows
redistribute excerpts of upstream source and are bound by the corresponding
upstream terms. Use for research/evaluation.

Mining scaffold:
[for-all-dev/git-history-evals](https://github.com/for-all-dev/git-history-evals)
(Forall R&D).

```bibtex
@misc{lean-ablation-eval,
  title  = {Lean Proof-Ablation Eval (57 repos, compile-validated)},
  author = {Dougherty, Quinn and Doty, Matthew},
  year   = {2026},
  howpublished = {\url{https://huggingface.co/datasets/for-all-dev/ablation-eval}},
  note   = {Syntactic corollary-anchored ablations over 57 Lean 4 repositories}
}
```