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-
cache_dir:一个字符串,指定缓存数据的位置,默认为 "~/.cache/huggingface/datasets"。 config_name:一个字符串,指定数据集配置的名字。不同的配置拥有不同的子目录和版本。如果未提供,则使用默认的配置(如果有的话)。 hash:一个字符串,指定数据集代码的哈希,用于更新缓存目录。 base_path:一个字符串,指定一个...
import datasets config = datasets.DownloadConfig(resume_download=True, max_retries=100) dataset = datasets.load_dataset( "codeparrot/self-instruct-starcoder", cache_dir="./hf_cache", download_config=config ) 再也不用担心下载不了数据集啦! PS: 目前还有不少上传下载的问题没有解决: 初始化数据...
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...
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...
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-starcoder", cache_dir="./hf_...
cache_dir: Optional[str] = None, features: Optional[Features] = None, download_config: Optional[DownloadConfig] = None, download_mode: Optional[GenerateMode] = None, ignore_verifications: bool = False, save_infos: bool = False, script_version: Optional[Union[str, Version]] = None, ...
一、基本使用 1.加载在线数据集 2.加载数据集合集中的某一项任务 3.按照数据集划分进行加载 4.查看数据集 查看一条数据集 查看多条数据集 查看数据集里面的某个字段 查看所有的列 查看所有特征 5.数据集划分 6.数据选取与过滤 7.数据映射 8.保存与加载 ...
from datasetsimportconfig config.set_filesystem_cache_dir("path/to/your/huggingface_cache") 请注意,更改缓存目录可能会影响其他使用 Hugging Face 缓存机制的库,如transformers。 此外,datasets库还支持使用配置文件来管理数据集的下载和缓存行为,这可以通过创建一个.json或.yaml配置文件来实现,并在加载数据集时指...