dataset = Dataset.from_generator(gen) print(dataset[0:2]) 可以直接取索引,虽然使用了from_generator,但数据仍然是全部加载进内存的 {'text': ['aaa0', 'aaa1'], 'label': [0, 1]} IterableDataset 创建 dataset 真正的生成器,懒加载方式,当数据非常大,无法全部加载进内存时,使用该方式 from datasets...
dataset = dataset.cache("/path/to/file") # doctest: +SKIP list(dataset.as_numpy_iterator()) # doctest: +SKIP [0,1,2,3,4] dataset = tf.data.Dataset.range(10) dataset = dataset.cache("/path/to/file") # Same file! # doctest: +SKIP list(dataset.as_numpy_iterator()) # doctest:...
dataset = load_dataset("glue", "mrpc", split="train") tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased") ### 编码 def encode(examples): return tokenizer(examples["sentence1"], examples["sentence2"], truncation=True, padding="max_length") dataset = dataset.map(encode, batch...
dataset2 = tf.data.Dataset.from_generator(count, args=[3], output_types=tf.int32, output_shapes = (), ) 1. In [6]: a = iter(dataset2) 1. In [7]: next(a) 1. 第0次调用…… 1. Out[7]: <tf.Tensor: id=46, shape=(), dtype=int32, numpy=0> 1. In [8]: next(a) ...
shuffle() 函数会随机重新排列列值。您可以在此函数中指定 generator 参数,以使用不同的 numpy.random.Generator 来更好地控制用于洗牌数据集的算法。 >>> shuffled_dataset = sorted_dataset.shuffle(seed=42) >>> shuffled_dataset["label"][:10] [1, 1, 1, 0, 1, 1, 1, 1, 1, 0] ...
Dataset: Base class containing methods to create and transform datasets. Also allows you initialize a dataset from data in memory, or from a Python generator. TextLineDataset: Reads lines from text files. TFRecordDataset: Reads records from TFRecord files. ...
print(my_dataset[0]) 另一方面,穿件一个IterableDataset,你可以提供一个懒加载的方法,在Python里,我们一般用generator方法。这个方法一次产生一个样本。这意味你不能像传统数据集那样通过切片来访问行。 defmy_generator(n):foriinrange(n):yield{"col_1":i}my_iterable_dataset=IterableDataset.from_generator(...
python speech_dataset_generator/main.py --input_folder /path/to/folder/of/audios --output_directory /output/directory --range_times 4-10 --enhancers deepfilternet Input from youtube (single video or playlists): #Youtube single videopython speech_dataset_generator/main.py --youtube_download ...
APIs: List of Public APIs News API Open APIs From Space San Francisco Bart Real-time API Feed Metro Bus and Rail Real-time API Feed Indian Railway Real-time API YELP API Medium's API Data Generators: Mockaroo GenerateData.com Dataset Generator - Random User Data Dataset Generator About...
1. load_dataset参数 load_dataset有以下参数,具体可参考源码 defload_dataset( path: str, name: Optional[str] = None, data_dir: Optional[str] = None, data_files: Union[Dict, List] = None, split: Optional[Union[str, Split]] = None, ...