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README.md

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+
+# ProofNet
+
+## Dataset Description
+
+- **Repository:** [zhangir-azerbayev/ProofNet](https://github.com/zhangir-azerbayev/ProofNet)
+- **Paper:** [ProofNet](https://mathai2022.github.io/papers/20.pdf)
+- **Point of Contact:** [Zhangir Azerbayev](https://zhangir-azerbayev.github.io/)
+
+### Dataset Summary
+
+
+### Leaderboard
+**Statement Autoformalization**
+| Model                              | Typecheck Rate | Accuracy |
+| ---------------------------------- | -------------- | -------- |
+| Davinci-code-002 (prompt retrieval)| 45.2           | 16.1     |
+| Davinci-code-002 (in-context learning) | 23.7       | 13.4     |
+| proofGPT-1.3B                      | 10.7           | 3.2      |
+
+**Statement Informalization**
+| Model                              | Accuracy |
+| ---------------------------------- | -------- |
+| Code-davinci-002 (in-context learning)| 62.3    |
+| proofGPT-6.7B (in-context learning) | 6.5      |
+| proofGPT-1.3B (in-context learning) | 4.3      |
+
+### Data Fields
+
+- `"id"`: Unique string identifier for the problem.
+- `"nl_statement": Natural language theorem statement.
+- "nl_proof": Natural language proof, in LaTeX. Depends on `amsthm, amsmath, amssymb` packages.
+- "formal_statement": Formal theorem statement in Lean 3.
+- "src_header": File header including imports, namespaces, and locales required for the formal statement. Note that local import of [common.lean](https://github.com/zhangir-azerbayev/ProofNet/blob/main/benchmark/benchmark_to_publish/formal/common.lean), which has to be manually downloaded and place in the same directory as your `.lean` file containing the formal statement. 
+
+### Contributions
+Zhangir Azerbayev, Bartosz Piotrowski, Jeremy Avigad
+
+[More Information Needed]