    max_query_length=max_query_length,
    is_training=not evaluate,
)
```
Using tensorflow_datasets is as easy as using a data file:
```python
tensorflow_datasets only handle Squad V1.
tfds_examples = tfds.load("squad")
examples = SquadV1Processor().get_examples_from_dataset(tfds_examples, evaluate=evaluate)
features = squad_convert_examples_to_features(
    examples=examples,
    tokenizer=tokenizer,
    max_seq_length=max_seq_length,
    doc_stride=args.doc_stride,
    max_query_length=max_query_length,
    is_training=not evaluate,
)
```
Another example using these processors is given in the run_squad.py script.
