| --- |
| pretty_name: Evaluation benchmark (Lean proof candidates) |
| language: |
| - en |
| task_categories: |
| - text-classification |
| tags: |
| - lean |
| - lean4 |
| - theorem-proving |
| - formal-verification |
| - code |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test-00000-of-00001.parquet |
| --- |
| |
| # Evaluation benchmark |
|
|
| The paper's **evaluation benchmark** for learned Lean 4 evaluators contains |
| **68,932 deduplicated candidate programs** from three public provers. Each |
| row contains a complete source program and the acceptance label obtained with |
| Lean v4.15.0. |
|
|
| | Subset | Programs | Valid | |
| |---|---:|---:| |
| | miniF2F | 41,638 | 25,702 (61.7%) | |
| | ProofNet | 27,294 | 2,443 (9.0%) | |
| | Combined | 68,932 | 28,145 (40.8%) | |
|
|
| The remaining 40,787 programs are invalid. Candidates come from |
| Pythagoras-Prover-4B, Goedel-Prover-V2-8B, and DeepSeek-Prover-V2-7B, each run |
| on miniF2F and ProofNet. This benchmark is separate from the training corpus |
| and the 27,210-program in-house validation set used to select thresholds and |
| the self-consistency voting rule. |
|
|
| ## Labels and collection |
|
|
| `passed` maps to label `1`; `failed` and `wrong_declaration` map to `0`. |
| Timeouts, infrastructure exceptions, `not_run`, and precheck failures are |
| excluded. Labels reflect the collection verifier's acceptance policy, |
| including expected-theorem matching and forbidden constructs, rather than |
| successful elaboration of an arbitrary statement alone. |
|
|
| Programs are deduplicated by `(source, lean_version)` and conflicting verdicts |
| are removed. The collection uses a 180-second per-command timeout, 64 |
| concurrent verification jobs, and reuse of loaded Lean environments. |
| miniF2F and ProofNet validity rates differ substantially; report metrics per |
| benchmark as well as pooled results. The release does not assert that theorem |
| statements are disjoint from all evaluator training material. |
|
|
| ## Columns |
|
|
| | Column | Meaning | |
| |---|---| |
| | `run_id` | Source prover evaluation run | |
| | `benchmark` | `minif2f` or `proofnet` | |
| | `prover_model` | Prover that generated the candidate | |
| | `lean_version` | Toolchain used for the reference verdict | |
| | `problem` | Benchmark problem identifier | |
| | `sample_id` | Generator sample identifier, when available | |
| | `candidate_index` | Candidate position within its source run | |
| | `source` | Complete unannotated Lean source | |
| | `label` | `1` for valid, `0` for invalid | |
| | `status` | `passed`, `failed`, or `wrong_declaration` | |
| | `error_kind` | Error category for invalid candidates; null for valid candidates | |
|
|
| ## Load |
|
|
| ```python |
| from datasets import load_dataset |
| |
| benchmark = load_dataset("EPFL-LARA/lean-evaluation-benchmark", split="test") |
| source = benchmark[0]["source"] |
| label = benchmark[0]["label"] |
| ``` |
|
|
| Use `source` as the model input and reserve `label`, `status`, and |
| `error_kind` for evaluation. |
|
|
| ## Results reported in the paper |
|
|
| | Evaluator | Accuracy | Macro F1 | MCC | AUROC | |
| |---|---:|---:|---:|---:| |
| | Encoder: ModernBERT-large | 0.586 | 0.563 | 0.372 | 0.862 | |
| | One-token 8B | 0.752 | 0.752 | 0.592 | 0.905 | |
| | One-token 8B, calibrated threshold 0.86 | 0.831 | 0.831 | 0.683 | 0.905 | |
| | Feedback 4B, greedy | 0.851 | 0.851 | 0.733 | — | |
| | Cascade: one-token → greedy feedback | 0.878 | 0.877 | 0.772 | — | |
| | Cascade with 5-sample feedback, 4 valid votes required | 0.888 | 0.887 | 0.783 | — | |
|
|
| Default classifier and gate thresholds are 0.5. Calibrated thresholds and the |
| four-of-five self-consistency rule are selected on the separate in-house |
| validation set. Self-consistency uses five traces at temperature 0.8. |
| See the model cards for exact prompts, parsing rules, and serving settings. |
|
|
| ## Integrity |
|
|
| SHA-256 of `data/test-00000-of-00001.parquet`: |
|
|
| `5a59f709b1466d53c72412cb8c7b7bb53cadd131b3a5b4ce8596677f70e2b3aa` |
|
|
| ## Paper and related artifacts |
|
|
| This is the **evaluation benchmark** described in *Learning Lean Feedback for Efficient Proof-Candidate Evaluation on GPUs*. |
|
|
| - [Encoder (ModernBERT-large)](https://huggingface.co/EPFL-LARA/lean-encoder-modernbert-large) |
| - [One-token (Qwen3-8B)](https://huggingface.co/EPFL-LARA/lean-one-token-qwen3-8b) |
| - [Feedback (Qwen3-4B)](https://huggingface.co/EPFL-LARA/lean-feedback-qwen3-4b) |
|
|
