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Tags:
video-language-model
egocentric-video
laboratory
wet-lab
procedural-monitoring
error-detection
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f91d9a0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | """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
@dataclass(frozen=True)
class TaskSpec:
name: str
display_name: str
default_manifest: Path | None
sort_key: str = "eval_id"
class BenchmarkTask:
spec: TaskSpec
primary_metric: str
@property
def name(self) -> str:
return self.spec.name
@property
def display_name(self) -> str:
return self.spec.display_name
@property
def default_manifest(self) -> Path | None:
return self.spec.default_manifest
@property
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
|