squad_it_dataset = load_dataset("json", data_files="./data/SQuAD_it-train.json", field="data") #也可以加载文本文件 dataset = load_dataset('text', data_files={'train': ['my_text_1.txt', 'my_text_2.txt'], 'test': 'my_test_file.txt'}) 1.2 加载远程数据集 url = "https://...
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...
$ git clone https://huggingface.co/datasets/severo/test-parquet $ python -c 'from datasets import load_dataset; ds=load_dataset("test-parquet"); \ ds.save_to_disk("my_dataset"); load_dataset("my_dataset")' [...] Traceback (most recent call last): File "<string>", line 1, in ...
示例1: load_training_set ▲点赞 7▼ # 需要导入模块: from dataset import DataSet [as 别名]# 或者: from dataset.DataSet importload_from_arff[as 别名]defload_training_set(self, filename, encoding='UTF-8'):"""\ Load the given training data set into memory and strip it if configured to...
import tensorflow as tf from tensorflow import keras def load_dataset(): # Step0 准备数据集, 可以是自己动手丰衣足食, 也可以从 tf.keras.datasets 加载需要的数据集(获取到的是numpy数据) # 这里以 mnist 为例 (x, y), (x_test, y_test) = keras.datasets.mnist.load_data() ...
train(training_data_loader, optimizer, model, criterion, epoch) save_checkpoint(model, epoch) 开发者ID:twtygqyy,代码行数:50,代码来源:main_edsr.py # 需要导入模块: import dataset [as 别名]# 或者: from dataset importDatasetFromHdf5[as 别名]defmain():globalopt, model ...
from torch.utils.data import Dataset 1. 2.通过help()语句查看Dataset的用法,其实还有一种简便方式查看排版更清晰的使用说明: 通过PyCharm中的terminal输入jupyter notebook 语句,打开网页版的jupyter notebook 在要查询的函数后打两个“?” ,运行即可得到排版良好的帮助文档: ...
import tensorflow as tf from tensorflow import keras def load_dataset(): # Step0 准备数据集, 可以是自己动手丰衣足食, 也可以从 tf.keras.datasets 加载需要的数据集(获取到的是numpy数据) # 这里以 mnist 为例 (x, y), (x_test, y_test) = keras.datasets.mnist.load_data() # Step1 使用 ...
Describe the bug I downloaded the 'ECG200' dataset files on my local machine and was trying to import it using 'load_data' It works fine if I use 'load_from_tsfile_to_dataframe' utility but fails when I use 'load_from_arff_to_dataframe' ...
So far this is the code to import a dataset = 'Applestore.csv' in jupyter notebook ide import datetime as dt from dt import dataset dataset='AppleStore.csv' I tried using import from, converting datatime, give modules a value, etc jupyter-notebook conda python-import data-analysis...