--- license: apache-2.0 task_categories: - text-generation language: - en tags: - code pretty_name: pbeworld --- # PBE World A synthetic dataset generator for Programming-by-Examples (PBE) tasks focused on string manipulation pipelines. This is a lightly extended version of PBEBench by [Naik et al. 2025](https://arxiv.org/abs/2505.23126). ## Overview PBE World generates tasks where models must reverse-engineer a sequence of string method calls from input/output examples. Each task consists of: - A fixed pipeline of string operations (e.g., `s.replace(old, new)`, `s.upper()`, `s.strip(chars)`) - Example input/output pairs that demonstrate the pipeline's behavior - Hidden test cases to validate solutions ## Dataset Format Each line in the output JSONL file contains a single task with the following structure: ```json { "task_id": "pbe-world/000000", "entry_point": "apply_pipeline", "prompt": "from typing import List\n\ndef apply_pipeline(s: str) -> str:\n \"\"\"Apply a fixed string-manipulation pipeline to the input string `s`.\n \n The pipeline consists of several string method calls such as:\n \n s = s.replace(old, new)\n s = s.upper()\n s = s.lower()\n s = s.strip(chars)\n \n which are always applied in the same fixed order.\n \n Your task is to reverse-engineer this pipeline from the examples\n and implement it.\n \n Example input/output pairs:\n \n >>> apply_pipeline('abbab') == 'aaab'\n >>> apply_pipeline('abbaa') == 'aa'\n >>> apply_pipeline('abaab') == 'baab'\n \"\"\"\n raise NotImplementedError()\n", "canonical_solution": "def apply_pipeline(s: str) -> str:\n \"\"\"Canonical solution (auto-generated).\"\"\"\n s = s.strip('a')\n s = s.replace('bb', 'aa')\n return s\n", "canonical_pipeline": [ { "method": "strip", "args": [ "a" ] }, { "method": "replace", "args": [ "bb", "aa" ] } ], "test": "from typing import Callable\n\ndef check(candidate: Callable[[str], str]) -> None:\n # examples from the prompt\n assert candidate('abbab') == 'aaab'\n assert candidate('abbaa') == 'aa'\n assert candidate('abaab') == 'baab'\n\n # hidden tests\n assert candidate('ababb') == 'baaa'\n assert candidate('bbbaa') == 'aab'\n assert candidate('bbbab') == 'aabab'\n", "num_tests": 6, "examples": [ { "input": "abbab", "output": "aaab" }, { "input": "abbaa", "output": "aa" }, { "input": "abaab", "output": "baab" } ], "tests": [ { "input": "ababb", "output": "baaa" }, { "input": "bbbaa", "output": "aab" }, { "input": "bbbab", "output": "aabab" } ], "metadata": { "alphabet": [ "a", "b" ], "alphabet_size": 2, "num_programs": 1, "num_examples": 3, "num_tests": 3, "generation_params": { "n_inputs_for_examples": 16, "l_min": 5, "l_max": 5, "pipeline_L_min": 2, "pipeline_L_max": 2 }, "split": "test", "version": "1.0.0" } } ``` See [`schema.json`](schema.json) for the complete JSON Schema specification. ## Citation If you use this dataset generator in your research, please cite: ```bibtex @article{naik2024pbebench, title={PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical Linguistics}, author={Naik, Atharva and Prakam and Agrawal, Darsh and Mathur, Yash and Kapadnis, Manav and An, Yuwei and Marr, Clayton and Rose, Carolyn and Mortensen, David}, journal={arXiv preprint arXiv:2505.23126}, year={2025} } @software{pbeworld2025, title={PBE World: A Synthetic Dataset Generator for String Manipulation Tasks}, author={}, year={2025}, url={https://github.com/sbdzdz/pbe-world} } ```