Datasets:
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
video-language-model
egocentric-video
laboratory
wet-lab
procedural-monitoring
error-detection
License:
| """Built-in benchmark task registry.""" | |
| from __future__ import annotations | |
| from .base import BenchmarkTask | |
| from .monitor_next_step import MonitorNextStepTask | |
| from .monitoring_step import MonitoringStepTask | |
| from .pmd import PmdTask | |
| TASK_REGISTRY: dict[str, BenchmarkTask] = { | |
| "monitoring_step": MonitoringStepTask(), | |
| "monitor_next_step": MonitorNextStepTask(), | |
| "pmd": PmdTask(), | |
| } | |
| def get_task(name: str) -> BenchmarkTask: | |
| try: | |
| return TASK_REGISTRY[name] | |
| except KeyError as exc: | |
| known = ", ".join(sorted(TASK_REGISTRY)) | |
| raise KeyError(f"Unknown task {name!r}. Known tasks: {known}") from exc | |