text: import os
  import pandas as pd
  import anndata as ad
  import scipy.sparse
  import numpy as np
  
  
  def load(data_dir, sample_fn, **kwargs):
      fn = [
          os.path.join(data_dir, f"GSE114374_Human_{sample_fn}_expression_matrix.txt.gz"),
          os.path.join(data_dir, f"{sample_fn.lower()}_meta_data_stromal_with_donor.txt"),
      ]
      matrix = pd.read_csv(fn[0], sep="\t")
      obs = pd.read_csv(fn[1], sep="\t", index_col=3)
      adata = ad.AnnData(matrix.T)
      adata.X = scipy.sparse.csc_matrix(np.expm1(adata.X))
      adata.obs = obs
      s_dict = {"F": "female", "M": "male"}
      adata.obs['Sex'] = [s_dict[i] for i in adata.obs['Sex']]
      adata.obs['Age'] = [str(x) + "-year-old human stage" for x in adata.obs['Age'].values]
  
      return adata
  