tlt.datasets.text_classification.tfds_text_classification_dataset.TFDSTextClassificationDataset

class tlt.datasets.text_classification.tfds_text_classification_dataset.TFDSTextClassificationDataset(dataset_dir, dataset_name, split=['train'], shuffle_files=True, **kwargs)

A text classification dataset from the TensorFlow datasets catalog

__init__(dataset_dir, dataset_name, split=['train'], shuffle_files=True, **kwargs)

Class constructor

Methods

__init__(dataset_dir, dataset_name[, split, ...])	Class constructor
get_batch([subset])	Get a single batch of images and labels from the dataset.
get_inc_dataloaders(hub_name, max_seq_length)
get_str_label(numerical_value)	Returns the string label (class name) associated with the specified numerical value.
preprocess(batch_size)	Batch the dataset
shuffle_split([train_pct, val_pct, ...])	Randomly split the dataset into train, validation, and test subsets with a pseudo-random seed option.

Attributes

class_names
dataset	The framework dataset object
dataset_catalog	The string name of the dataset catalog (or None)
dataset_dir	Host directory containing the dataset files
dataset_name	Name of the dataset
info
test_subset	A subset of the dataset held out for final testing/evaluation
train_subset	A subset of the dataset used for training
validation_subset	A subset of the dataset used for validation/evaluation