datasets = load_dataset('cail2018',split='exercise_contest_test') # 如果知道数据的结构,在load的时候就可以用split只load进来一部分数据; # 从数据集里面取数据 datasets_sample = datasets[ "exercise_contest_train" ].shuffle(seed= 42 ).select( range ( 1000 )) # 这里就是从cail2018这个数据集里面...
from datasets import load_dataset dataset = load_dataset('oscar-corpus/OSCAR-2201', 'en', split='train', streaming=True) print(next(iter(dataset))) 数据列重命名(rename columns) 数据集支持对列重命名。下面的代码将squad数据集中的context列重命名为text: from datasets import load_dataset squad =...
raw_dataset=datasets.load_dataset('squad')# 获取某个划分数据集,比如traintrain_dataset=raw_dataset['train']# 获取前10条数据head_dataset=train_dataset.select(range(10))# 获取随机10条数据shuffle_dataset=train_dataset.shuffle(seed=42).select(range(10))# 数据切片slice_dataset=train_dataset[10:20]...
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...
streaming, **config_kwargs)16581659 # Create a dataset builder-> 1660 builder_instance = load_dataset_builder(1661 path=path,1662 name=name,myenv/lib/python3.8/site-packages/datasets/load.py in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, dow...
myenv/lib/python3.8/site-packages/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, **config_kwargs) ...
from datasets import load_dataset dataset = load_dataset("datasetFile", use_auth_token=True, streaming= True) Share Follow answered Mar 29, 2022 at 11:21 TMN 12311 gold badge22 silver badges1010 bronze badges Add a comment 2 According to https://github.com/huggingface/datasets/issue...
fromdatasetsimportload_datasetdataset=load_dataset("c4","en",split="train",streaming=True)next(iter(dataset)) causes a FileNotFoundError: https://huggingface.co/datasets/allenai/c4/resolve/1ddc917116b730e1859edef32896ec5c16be51d0/en/c4-train.00000-of-01024.json.gz ...
TypeErrorTraceback(mostrecentcalllast)CellIn[8],line1--->1dataset=load_dataset("parquet",data_files=["s3://<bucket name>/<data folder>/data-parquet"],storage_options=fs.storage_options,streaming=True)File~/.../datasets/src/datasets/load.py:1790,inload_dataset(path,name,data_dir,data_fil...
imagenet=load_dataset("imagenet-1k",split="train",streaming=True)forexampleinimagenet:print(example)break 流可以在不向磁盘写入任何文件的情况下读取在线数据。例如,您可以流式传输由多个分片组成的数据集,每个分片都是数百gb,如C4, OSCAR或LAION-2B。