class_docstr: A simple wrapper class to use HugginFace Datasets and convert them
  to AvalancheDatasets
class_docstr_tok: ["A","simple","wrapper","class","to","use","HugginFace","Datasets","and","convert","them","to","AvalancheDatasets"]
code: def _all_features(self):
      return self.dataset.features.keys()
  
imports: import datasets
  import numpy
  import torch
  import torch.nn
  from transformers import AutoTokenizer, DataCollatorForSeq2Seq, T5ForConditionalGeneration
  import avalanche
  import avalanche.training.templates.base
  from avalanche.benchmarks import CLExperience, CLScenario, CLStream
  from avalanche.benchmarks.utils import AvalancheDataset, ConstantSequence, DataAttribute
  from avalanche.benchmarks.utils.data import AvalancheDataset
  from avalanche.benchmarks.utils.data_attribute import DataAttribute
  from avalanche.benchmarks.utils.flat_data import ConstantSequence
  from avalanche.training.plugins import ReplayPlugin
label_desc: Use image node_id 6 for calling the HFTextDataWrapper obj's underlying member method code with example usage: obj._all_features() and returns: self