Datasets:
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
video-language-model
egocentric-video
laboratory
wet-lab
procedural-monitoring
error-detection
License:
| """Task interface for modular benchmark parsing and scoring.""" | |
| from __future__ import annotations | |
| from dataclasses import dataclass | |
| from pathlib import Path | |
| from typing import Any | |
| from ..io import BENCHMARK_ROOT | |
| class TaskSpec: | |
| name: str | |
| display_name: str | |
| default_manifest: Path | None | |
| sort_key: str = "eval_id" | |
| class BenchmarkTask: | |
| spec: TaskSpec | |
| primary_metric: str | |
| def name(self) -> str: | |
| return self.spec.name | |
| def display_name(self) -> str: | |
| return self.spec.display_name | |
| def default_manifest(self) -> Path | None: | |
| return self.spec.default_manifest | |
| def sort_key(self) -> str: | |
| return self.spec.sort_key | |
| def load_examples( | |
| self, | |
| *, | |
| benchmark_root: Path = BENCHMARK_ROOT, | |
| manifest_path: Path | None = None, | |
| video_root: Path | None = None, | |
| ) -> list[dict[str, Any]]: | |
| raise NotImplementedError | |
| def parse_record(self, row: dict[str, Any]) -> dict[str, Any]: | |
| raise NotImplementedError | |
| def parse_rows(self, rows: list[dict[str, Any]]) -> list[dict[str, Any]]: | |
| return [self.parse_record(dict(row)) for row in rows] | |
| def score(self, rows: list[dict[str, Any]]) -> dict[str, Any]: | |
| raise NotImplementedError | |