docstr: Export the duplicate clusters.
  For each cluster, the first element is the base element of the cluster.
  The base element has an estimation jaccard similarity higher than the threshold with all the other elements.
  
  Returns:
      duplicate_clusters (List[List[Dict]]):
          List of duplicate clusters.
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code: def get_duplicate_clusters(self) -> List[List[Dict]]:
      """Export the duplicate clusters.
      For each cluster, the first element is the base element of the cluster.
      The base element has an estimation jaccard similarity higher than the threshold with all the other elements.
  
      Returns:
          duplicate_clusters (List[List[Dict]]):
              List of duplicate clusters.
      """
      duplicate_clusters = []
      for base, duplicates in self._duplicate_clusters.items():
          cluster = [base] + list(duplicates)
          # reformat the cluster to be a list of dict
          cluster = [
              {"base_index": el[0], "repo_name": el[1], "path": el[2]}
              for el in cluster
          ]
          duplicate_clusters.append(cluster)
      return duplicate_clusters
  
imports: import json
  import multiprocessing
  import re
  from collections import defaultdict
  from functools import partial
  from typing import Dict, List, Optional, Set, Tuple, Type
  from datasets import Dataset
  from datasketch import MinHash, MinHashLSH
  from dpu_utils.utils.iterators import ThreadedIterator
  from tqdm import tqdm
label_desc: Use image node_id 3 for calling the DuplicationIndex obj's underlying member method code with example usage: obj.get_duplicate_clusters() and returns: duplicate_clusters