code: def __init__(self, json_path):
      with open(json_path, "r") as f:
          self.config = json.load(f)
      self._manifests = self.config["manifests"]
  
imports: import json
  import logging
  import os
  import random
  from pathlib import Path
  import numpy
  import torch
  import torch.utils.data
  from .None import data_utils
  from fairseq.data.fairseq_dataset import FairseqDataset
label_desc: Use image node_id 1 to create a new ExpressiveCodeDataConfig object from inherited base classes: object with example: obj = ExpressiveCodeDataConfig(json_path)