features: Optional[Features] = None, download_config: Optional[DownloadConfig] = None, download_mode: Optional[GenerateMode] = None, ignore_verifications: bool = False, save_infos: bool = False, script_version: Optional[Union[str, Version]] = None, ...
`features`:包含数据集的特征名称。 `categories`:包含目标变量的类别名称。 `descriptions`:包含数据集的描述信息。 4.使用数据集进行训练和测试: 一旦你加载了数据集,就可以使用它来训练和测试机器学习模型。以下是一个简单的示例,演示如何使用加载的数据集训练一个模型: ```python from import RandomForestClassifie...
数据标签的feature是datasets. features.ClassLabel,实例化参数可以使用列表数据类型,其中包含每个标签的名称(如cifar的"airplane","automobile"...),也可以使用int数据类型,直接写入类别数。task_templates传入常见的任务,详见datasets.task,如图像分类任务ImageClassification,确定了task_templates可以不传入features,同样,gene...
( description="My custom dataset", features=DatasetInfo.Features({ "text": DatasetInfo.Feature(dtype="string"), "label": DatasetInfo.Feature(dtype="int32"), }), supervised_keys=None, homepage="http://example.com", citation="", ) def _split_generators(self, dl_manager): # 这里假设你...
from datasets import load_dataset dataset = load_dataset("squad", split="train") dataset.features {'answers': Sequence(feature={'text': Value(dtype='string', id=None), 'answer_start': Value(dtype='int32', id=None)}, length=-1, id=None), 'context': Value(dtype='string', id=None...
EN对于NLP 爱好者来说HuggingFace肯定不会陌生，因为现在几乎一提到NLP就会有HuggingFace的名字出现，...
'features': features} dataset_info = MsDataset._create_dataset_info(info)使用MsDataset构造函数加载...
Dataset({ features: ['image', 'label'], num_rows: 4 }) Contributor polinaeterna commented Mar 21, 2023 @WiNE-iNEFF My only guess is that 4 images in your data have "train" string in their names (something like "train_image_0.png") and others do not and the loader ignores all ...
load_dataset features = Features({'text': Value('string'), 'ctext': Value('string')}) file_dict = {'train': PATH/'summary.csv'} dataset = load_dataset('csv', data_files=file_dict, script_version='master', delimiter='\t', column_names=['text', 'ctext'], features=features) ...
features: ['fact', 'relevant_articles', 'accusation', 'punish_of_money', 'criminals', 'death_penalty', 'imprisonment', 'life_imprisonment'], num_rows: 35922 }) }) 知道数据结构,就可以看看怎么快速取数。 datasets = load_dataset('cail2018',split='exercise_contest_test') # 如果知道数据的...