class_docstr: Dataset loader for Libsvm data format 
class_docstr_tok: ["Dataset","loader","for","Libsvm","data","format"]
code: def __init__(self, mini_batch_data: List[Dict]):
      (
          self.feat_id,
          self.feat_value,
          self.y,
          self.nsamples,
      ) = LibsvmDataset.pre_processing(mini_batch_data)
  
imports: import calendar
  import os
  import time
  import requests
  import json
  from typing import List, Dict
  import traceback
  import orjson
  from argparse import Namespace
  from shared_config import parse_config_arguments
  from torch.utils.data import Dataset
  import torch
label_desc: Use image node_id 3 to create a new LibsvmDataset object from inherited base classes: Dataset with example: obj = LibsvmDataset(mini_batch_data)