code: def file_dataset():
      return FileDataParams(
          images=sorted(
              glob_all(
                  [
                      os.path.join(
                          this_dir,
                          "data",
                          "uw3_50lines",
                          "test",
                          "*.png",
                      )
                  ]
              )
          )
      )
  
imports: import os
  import unittest
  import numpy
  from calamari_ocr.ocr import SavedCalamariModel
  from calamari_ocr.ocr.predict.params import PredictionResult, Predictions
  from tensorflow import keras
  from calamari_ocr.ocr.dataset.datareader.abbyy.reader import Abbyy
  from calamari_ocr.ocr.dataset.datareader.base import CalamariDataGeneratorParams
  from calamari_ocr.ocr.dataset.datareader.extended_prediction import ExtendedPredictionDataParams
  from calamari_ocr.ocr.dataset.datareader.file import FileDataParams
  from calamari_ocr.ocr.dataset.datareader.hdf5.reader import Hdf5
  from calamari_ocr.ocr.dataset.datareader.pagexml.reader import PageXML
  from calamari_ocr.ocr.predict.predictor import Predictor, PredictorParams, MultiPredictor
  from calamari_ocr.scripts.compute_average_prediction_confidence import run
  from calamari_ocr.scripts.predict import run, PredictArgs
  from calamari_ocr.utils import glob_all
  from calamari_ocr.utils.image import ImageLoaderParams
label_desc: Use image node_id 1 for calling a global function with example usage: file_dataset() and returns: FileDataParams