先上传到我的应用数据-bypy文件夹中,然后在服务器上下载文件夹(注意下载文件夹是将远程文件夹里的所有文件下载到本地文件夹,而不是直接下载整个文件夹):bypy downdir yelp_full_review_disk mypath/datasets/yelp_full_review_disk 然后在服务器上从磁盘加载数据集: dataset=dat
it cannot be read byload_dataset. The error message asks me to to useload_from_diskinstead. What would be the correct way of saving the data in this scenario?
1. 首先下载并存储数据: import datasets dataset = datasets.load_dataset("dataset_name") dataset.save_to_disk('your_path') 1. 2. 3. 2. 然后把数据集上传到指定服务器地址,并进行本地加载: import datasets dataset = load_from_disk("your_path") 1. 2. 注意:保存数据集所用机器上的datasets版本...
exists(dataset_name): self.raw_datasets = load_from_disk(dataset_name) elif not dataset_name == 'local/jsonfile': self.raw_datasets = load_dataset(dataset_name) 改为: self.raw_datasets = load_dataset(dataset_name) 这样就能够在拥有dataset_infos.json的情况下读取dataset数据集。 发布于 2024-...
from datasets import load_from_disk processed_datasets.save_to_disk("./news_data") disk_datasets = load_from_disk("./news_data") disk_datasets 加载本地数据集 前面介绍了加载公开数据集并进行处理,但是多数情况下,公开数据集并不能满足我们的需求,需要加载自行准备的数据集。下面来介绍如何加载本地的...
Describe the bug load_from_disk and save_to_disk are not compatible. When I use save_to_disk to save a dataset to disk it works perfectly but given the same directory load_from_disk throws an error that it can't find state.json. looks li...
from datasets import load_from_diskdataset = load_from_disk('./')3. 评价指标 Evaluate 安装Evaluate库：pip install evaluate （1）加载 import evaluateaccuracy = evaluate.load("accuracy")（2）从社区加载模块 element_count = evaluate.load("lvwerra/element_count", module_type="measurement")（3）...
It statically partitions the volume data to parallel disks with a balanced workload spectrum, and builds I/O-optimal external interval trees to minimize the number of I/O operations of loading large data from disk. We also describe an isosurface compression scheme that is efficient for progress ...
considerably smaller than the time spent in computation for this network. The resulting overhead effect was negligible and the two methods resulted in very similar training times. We also discovered that NVVL incurred 40% less CPU load and used 36% less host memory on top of the disk space ...
Click Update Setting and select Update with the Parent Table or Not to Update with the Parent Table from the Update Setting drop-down list.For example, the Data Lineage tab page of the Load risk analysis table shows that this table has three parent tables.Update with Parent Table: Data in...