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1.82 kB
| """Small, serializable environment interface for SFT/RL jobs.""" | |
| from __future__ import annotations | |
| from dataclasses import dataclass | |
| from typing import Protocol | |
| class Environment(Protocol): | |
| id: str | |
| def dataset(self, split: str) -> list[dict]: | |
| """Return the rows for ``split`` (e.g. ``"train"``).""" | |
| def prompt_messages(self, example: dict) -> list[dict]: | |
| """Chat messages fed to the model for one example.""" | |
| def sft_target(self, example: dict) -> str: | |
| """Assistant target text for an SFT example.""" | |
| def reward(self, completion: str, example: dict, state: dict | None = None) -> float: | |
| """Scalar RL reward for a completion.""" | |
| def grade(self, completion: str, example: dict, state: dict | None = None) -> bool: | |
| """Boolean correctness scorer the reward can build on.""" | |
| class BaseEnvironment: | |
| id: str | |
| def dataset(self, split: str) -> list[dict]: | |
| raise NotImplementedError | |
| def prompt_messages(self, example: dict) -> list[dict]: | |
| question = example.get("question") or example.get("prompt") or "" | |
| return [{"role": "user", "content": question}] | |
| def sft_target(self, example: dict) -> str: | |
| return str(example.get("target") or example.get("answer") or "") | |
| def reward(self, completion: str, example: dict, state: dict | None = None) -> float: | |
| return 1.0 if self.grade(completion, example, state) else 0.0 | |
| def grade(self, completion: str, example: dict, state: dict | None = None) -> bool: | |
| gold = str(example.get("gold") or example.get("answer") or "").strip() | |
| # A missing/empty gold must NOT grade every completion correct (`"" in x` is | |
| # always True) — treat it as unscorable -> incorrect. | |
| return bool(gold) and gold in (completion or "") | |