| """Construct localization-given-labels prompts from gold segments.""" |
|
|
| from __future__ import annotations |
|
|
| import json |
| import random |
| from collections import Counter |
| from typing import Sequence |
|
|
| from localization.schema import GoldSegment, LabelSpec |
|
|
| DEFAULT_SEED = 0 |
| PROTOCOL_NAME = "localization-given-labels" |
| SOURCE_DATASET = "macrodata/WGO-Bench" |
|
|
|
|
| def label_specs_from_segments( |
| episode_id: str, |
| gold_segments: Sequence[GoldSegment], |
| *, |
| seed: int = DEFAULT_SEED, |
| ) -> list[LabelSpec]: |
| """Unique labels with multiplicity, shuffled deterministically per episode.""" |
| counts = Counter(segment.label for segment in gold_segments) |
| specs = [LabelSpec(label, counts[label]) for label in sorted(counts)] |
| rng = random.Random(f"{seed}:{episode_id}") |
| rng.shuffle(specs) |
| return specs |
|
|
|
|
| def multiplicity_phrase(spec: LabelSpec) -> str: |
| quoted = json.dumps(spec.label) |
| if spec.multiplicity == 1: |
| return quoted |
| return f"{quoted} (occurs {spec.multiplicity} times)" |
|
|
|
|
| def localization_prompt( |
| instruction: str, |
| specs: Sequence[LabelSpec], |
| ) -> str: |
| labels = "\n".join(f"- {multiplicity_phrase(spec)}" for spec in specs) |
| return ( |
| "Locate the listed manipulation event labels in this robot video from the " |
| "timestamped contact sheets.\n\n" |
| "Return only JSON matching the provided schema. For each listed label, " |
| "return exactly its requested number of intervals. Each interval must echo " |
| "the exact label string in label_echo and use visible timestamps for " |
| "start_sec and end_sec.\n\n" |
| "Rules:\n" |
| "- Bind times only to the exact listed label.\n" |
| "- Do not invent labels that are not listed.\n" |
| "- Use one interval per occurrence when a label occurs multiple times.\n" |
| "- Prefer temporally tight intervals around completed manipulation events.\n\n" |
| f"Episode instruction: {instruction}\n\n" |
| f"Event labels:\n{labels}\n" |
| ) |
|
|
|
|
| def construction_meta(*, seed: int = DEFAULT_SEED) -> dict[str, str | int]: |
| return { |
| "seed": seed, |
| "protocol": PROTOCOL_NAME, |
| "source": SOURCE_DATASET, |
| } |
|
|
