code: def get_eval_dataset(
      cfg, root_dataset_path, eval_dataset_name, eval_binary_path
  ):
      eval_data_path = f"{root_dataset_path}/{eval_dataset_name}"
      assert g_pathmgr.exists(
          eval_data_path
      ), f"Unknown path: {eval_data_path}"
  
      num_samples = (
          None
          if cfg.IMG_RETRIEVAL.NUM_DATABASE_SAMPLES == -1
          else cfg.IMG_RETRIEVAL.NUM_DATABASE_SAMPLES
      )
  
      if is_revisited_dataset(eval_dataset_name):
          eval_dataset = RevisitedInstanceRetrievalDataset(
              eval_dataset_name,
              root_dataset_path,
              num_samples=num_samples,
          )
      elif is_instre_dataset(eval_dataset_name):
          eval_dataset = InstreDataset(
              eval_data_path, num_samples=num_samples
          )
      elif is_copdays_dataset(eval_dataset_name):
          eval_dataset = CopyDaysDataset(
              data_path=eval_data_path,
              num_samples=num_samples,
              use_distractors=cfg.IMG_RETRIEVAL.USE_DISTRACTORS,
          )
      else:
          eval_dataset = InstanceRetrievalDataset(
              eval_data_path, eval_binary_path, num_samples=num_samples
          )
      return eval_dataset
  
imports: import logging
  import os
  import sys
  from argparse import Namespace
  from typing import Any, List
  import numpy
  import torch
  import torchvision
  from classy_vision.generic.util import copy_model_to_gpu, load_checkpoint
  from iopath.common.file_io import g_pathmgr
  from vissl.config import AttrDict
  from vissl.hooks import default_hook_generator
  from vissl.models import build_model
  from vissl.utils.checkpoint import get_checkpoint_folder, init_model_from_consolidated_weights
  from vissl.utils.distributed_launcher import launch_distributed
  from vissl.utils.env import set_env_vars, setup_path_manager
  from vissl.utils.extract_features_utils import ExtractedFeaturesLoader
  from vissl.utils.hydra_config import compose_hydra_configuration, convert_to_attrdict, print_cfg
  from vissl.utils.instance_retrieval_utils.data_util import CopyDaysDataset, GenericInstanceRetrievalDataset, get_average_gem, InstanceRetrievalDataset, InstanceRetrievalImageLoader, InstreDataset, is_copdays_dataset, is_instre_dataset, is_oxford_paris_dataset, is_revisited_dataset, is_whiten_dataset, l2n, MultigrainResize, RevisitedInstanceRetrievalDataset, WhiteningTrainingImageDataset
  from vissl.utils.instance_retrieval_utils.rmac import get_rmac_descriptors
  from vissl.utils.io import load_file, makedir, save_file
  from vissl.utils.logger import setup_logging, shutdown_logging
  from vissl.utils.pca import load_pca, train_and_save_pca
  from vissl.utils.perf_stats import PerfStats, PerfTimer
label_desc: Use image node_id 11 for calling a global function with example usage: get_eval_dataset(cfg, root_dataset_path, eval_dataset_name, eval_binary_path) and returns: eval_dataset