import datasets dataset = datasets.load_dataset("codeparrot/self-instruct-starcoder", cache_dir="./hf_cache")⌛ 结果下载到一半:ConnectionError: Couldn't reach https://huggingface.co/datasets/codeparrot/self-instruct-starcoder/resolve/fdfa8ceb317670e982aa246d8e799c52338a74a7/data/curated-00000...
importdatasetsdataset=datasets.load_dataset("codeparrot/self-instruct-starcoder", cache_dir="./hf_cache") ⌛ 结果下载到一半: ConnectionError:Couldn'treach https://huggingface.co/datasets/codeparrot/self-instruct-starcoder/resolve/fdfa8ceb317670e982aa246d8e799c52338a74a7/data/curated-00000-of-00...
import datasets dataset = datasets.load_dataset("codeparrot/self-instruct-starcoder", cache_dir="./hf_cache") ⌛ 结果下载到一半: ConnectionError: Couldn't reach https://huggingface.co/datasets/codeparrot/self-instruct-starcoder/resolve/fdfa8ceb317670e982aa246d8e799c52338a74a7/data/curated-00...
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://github.com/crux82/squad-it/raw/master/" data_files = { "train": url + "SQuAD_it-train.json.gz", "test": url +...
from datasets import load_dataset 1. 一、基本使用 1.加载在线数据集 datasets = load_dataset("madao33/new-title-chinese") datasets ''' DatasetDict({ train: Dataset({ features: ['title', 'content'], num_rows: 5850 }) validation: Dataset({ ...
Dataset.cache,数据集从磁盘上加载放入内存中,如果数据集太大内存放不下,则可以使用此方法创建一个性能磁盘缓存。 Dataset.prefetch,训练时重叠数据预处理和模型执行。 AUTOTUNE = tf.data.AUTOTUNE train_ds = train_ds.cache().prefetch(buffer_size=AUTOTUNE) ...
hfdataset = load_dataset(path, name=name, **kwargs)其中 path=D:\code_for_python\Adaseq\Ada...
datasets.load_dataset限制范围 `datasets.load_dataset`函数是Hugging Face库中一个非常实用的函数,用于加载和下载各种NLP数据集。它允许你访问预定义的数据集以及用户自定义的数据集。 `load_dataset`函数的第一个参数是要加载的数据集的名称,可以是预定义的数据集,也可以是用户自定义的本地数据集。预定义的数据集...
load_dataset有以下参数,具体可参考源码 defload_dataset( path: str, name: Optional[str] = None, data_dir: Optional[str] = None, data_files: Union[Dict, List] = None, split: Optional[Union[str, Split]] = None, cache_dir: Optional[str] = None, ...
:param prefix: 显示信息 一个标志,多为train/val,处理标签时保存cache文件会用到""" LoadImagesAndLabels classLoadImagesAndLabels(Dataset): #fortraining/testing def __init__(self, path, img_size=640, batch_size=16, augment=False, hyp=None, rect=False, ...