from datasets import load_dataset squad = load_dataset('squad') # 新增列, title_length, 标题长度 new_train_squad = squad['train'].add_column("title_length", [len(_) for _ in squad['train']['title']]) # 转换为numpy支持的数据格式 new_train_squad.set_format(type="numpy", columns=...
fromdatasetsimportload_dataset squad=load_dataset('squad')# 新增列, title_length, 标题长度new_train_squad=squad['train'].add_column("title_length",[len(_)for_insquad['train']['title']])# 转换为numpy支持的数据格式new_train_squad.set_format(type="numpy",columns=["title_length"]) 1. 2...
datasets_sample.set_format("pandas") # 转换为pandas的dataFrame结构,这处理起来还不是手拿把掐的 print(datasets_sample[:3] ) # 打印出来看一下,dataFrame的数据结构 需要注意的是set_format并没有改变数据本身的结构,set_format之后datasets_sample的数据结构没有改变,但是其输出的数据形式确实已经变化了,可以把...
set_format(type='torch', columns=['input_ids', 'token_type_ids', 'attention_mask', 'labels']) 现在我们的训练样本长这样,可以直接放进bert训练了 代码语言:javascript 代码运行次数:0 运行 AI代码解释 train_dataset.features 代码语言:javascript 代码运行次数:0 运行 AI代码解释 {'attention_mask': ...
('*')) dataset = load_dataset('./text.py', data_files=files, cache_dir = args.data_cache_dir, split="train") dataset = dataset.map(token_encode, batched=True, batch_size = 16384, num_proc = 16) dataset.set_format(type='torch', columns=['input_ids', 'attention_mask']) ...
Refer toHow to handle missing values in your input datasetsto learn how to set the method for filling missing values in your time-series dataset. Autopilot supports the following filling methods: Front filling:Fills any missing values between the earliest recorded data point among all items and ...
torch.save(test_set, f)print('Done!')def__repr__(self): fmt_str ='Dataset '+ self.__class__.__name__ +'\n'fmt_str +=' Number of datapoints: {}\n'.format(self.__len__()) tmp ='train'ifself.trainisTrueelse'test'fmt_str +=' Split: {}\n'.format(tmp) ...
Set up alerts on data driftfor early warnings to potential issues. Create a new dataset versionwhen you determine the data has drifted too much. AnAzure Machine Learning datasetis used to create the monitor. The dataset must include a timestamp column. ...
The dataset includes a query that specifies a set of fields. As you drag these fields to the design surface, you create expressions that evaluate to the actual data when the report runs. There are two types of datasets: Shared dataset. A shared dataset is defined ...
Set-AzDataFactoryV2Dataset-DataFactoryName$DataFactory.DataFactoryName `-ResourceGroupName$ResGrp.ResourceGroupName-Name"OutputDataset"`-DefinitionFile".\OutputDataset.json" Here is the sample output: Text DatasetName : OutputDataset ResourceGroupName : <resourceGroupname> DataFactoryName : <dataFactoryName...