code: def generate_100B_dataset(
      num_examples: int, chunk_size: int
  ) -> datasets.Dataset:
      table = pa.Table.from_pydict({"col": [0] * chunk_size})
      table = pa.concat_tables([table] * (num_examples // chunk_size))
      return datasets.Dataset(table, fingerprint="table_100B")
  
file_path: datasets/benchmarks/benchmark_getitem_100B.py
imports: import json
  import os
  from dataclasses import dataclass
  import numpy
  import pyarrow
  import datasets
  from utils import get_duration
label_desc: Use image node_id 1 for calling a global function with example usage: generate_100B_dataset(num_examples, chunk_size) and returns: datasets