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...
譬如: 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/cur...
譬如: 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...
importdatasets 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-of-...
datasets.load_dataset函数加载本地数据集时,可以遵循以下步骤: 准备本地数据集文件: 确保你的本地数据集文件已经准备好,并且格式正确(如CSV、JSON、TXT等)。 导入datasets库: 在你的Python脚本或Jupyter Notebook中导入datasets库。python from datasets import load_dataset ...
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...
4.Dataset with DataCollator !pip install datasets 1. 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'], ...
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, ...
解决方法: 以如下代码为例: import datasets dataset = datasets.load_dataset("codeparrot/self-instruct-starcoder", cache_dir="./hf_cache") 改为: import datasets config =datasets.DownloadConfig(resume_download=True, max_retries=100) dataset = datasets.load_dataset( "codeparrot/self-instruct-starco...
使用高级的Keras预处理工具(如tf.keras.utils.image_dataset_from_directory)和预处理层(如tf.keras.layers.Rescaling)从磁盘的图片目录中加载数据。 使用tf.data的框架写你自己的输入通道。 在TensorFlow Datasets中从可用的类别加载数据集。 内容 import numpy as np ...