huggingface-cli download --repo-type dataset --resume-download madao33/new-title-chinese 如果需要指定数据集下载路径需要使用--cache-dir(注意,跟模型下载指定路径不一样的参数)。 我们以madao33/new-title-chinese这个数据集为例(https://huggingface.co/datasets/madao33/new-title-chinese/tree/main),在hugg...
dataset = datasets.load_dataset( "BelleGroup/school_math_0.25M", cache_dir="./hf_cache", download_config=config ) 2.(在服务器上下载出现上述问题)本地下载,再上传到服务器 3.直接wget数据文件。此方法要求目录下得有数据文件,比如json文件。 wget https://huggingface.co/datasets/BelleGroup/school_ma...
于是去看了一下文档:https://hf.co/docs/datasets/v2.13.1/en/package_reference/builder_classes#datasets.DownloadConfig 🚪 于是我打开了新世界的大门: importdatasetsconfig= datasets.DownloadConfig(resume_download=True, max_retries=100) dataset = datasets.load_dataset("codeparrot/self-instruct-starcoder...
datasets是抱抱脸开发的一个数据集python库,可以很方便的从Hugging Face Hub里下载数据,也可很方便的从本地加载数据集,本文主要对load_dataset方法的使用进行详细说明 @ 2.1 从HuggingFace Hub上加载数据 2.2 从本地加载数据集 2.2.1 加载指定格式的文件
[[-z"$MODEL_ID"||"$MODEL_ID"=~ ^-h ]] &&display_helpif[[ -z"$LOCAL_DIR"]];thenLOCAL_DIR="${MODEL_ID#*/}"fiif[["$DATASET"==1]];thenMODEL_ID="datasets/$MODEL_ID"fiecho"Downloading to $LOCAL_DIR"if[ -d"$LOCAL_DIR/.git"];thenprintf"${YELLOW}%s exists, Skip Clone.\...
【HuggingFace Model Downloader:HuggingFace模型下载器,从HuggingFace网站下载模型/数据集的实用工具,提供了多线程下载LFS文件的能力,并通过检查SHA256校验和确保已下载模型的完整性】'HuggingFace Model Downloader - Simple go utility to download HuggingFace Models and Datasets' bodaay GitHub: github.com/bodaay/Huggi...
数据集链接:https://huggingface.co/datasets/HuggingFaceFW/fineweb FineWeb是在对CommonCrawl数据集(2013年夏天到2024年3月,共95个dump)进行去重、清洗后,得到的一个高质量、包含15T+个tokens(根据GPT-2的分词器)的Web数据集,也是目前公开可用的、最干净的语言模型预训练数据集,其主要用作英语领域的公共数据研究...
Describe the bug Hi all - I see that in the past a network dependency has been mistakenly introduced into load_dataset even for local loads. Is it possible this has happened again? Steps to reproduce the bug >>> import datasets >>> datas...
from huggingface_hub import hf_hub_download import pandas as pd REPO_ID = "YOUR_REPO_ID" FILENAME = "data.csv" dataset = pd.read_csv( hf_hub_download(repo_id=REPO_ID, filename=FILENAME, repo_type="dataset") ) Using Git Since all datasets on the Hub are Git repositories, you can...
🤗 Datasets is a lightweight library providing two main features: one-line dataloaders for many public datasets: one-liners to download and pre-process any of the major public datasets (image datasets, audio datasets, text datasets in 467 languages and dialects, etc.) provided on the Huggin...