usage: kaggle datasets download [-h] [-f FILE_NAME] [-p PATH] [-w] [--unzip] [-o]...
kaggle datasets{list,files,download,create,version,init,metadata,status} 比较常用的是:list(可用数据集列表)、files(数据文件)、download(下载) kaggle datasets list 用法 usage: kaggle datasets list [-h] [--sort-by SORT_BY] [--size SIZE] [--file-type FILE_TYPE] [--license LICENSE_NAME] [-...
点击Kaggle主页顶部的Datasets标签,可以打开打开“Datasets”页面来搜索数据集。注册kaggle的方法可以参考:注册kaggle 一、提出问题 什么样的人在泰坦尼克号中更容易存活? 二、理解数据 1.采集数据 从Kaggle泰坦尼克号项目页面下载数据: 具体下载步骤: csv文件下载好后,存放在与该notebook相同的文件夹中。 2.导入数据 #...
最近在搞OBB目标检测,发现旋转框数据集很是稀有,找半天发现kaggle上的这个数据集不错,想要使用mmrotate框架检测的话就要dota数据集的格式,于是简单实现了一下将kaggle airbus的数据集标注格式(csv)转换成dota格式(txt) kaggle数据集网站:https://www.kaggle.com/competitions/airbus-ship-detection dota数据集网站:https...
usage: kaggle datasets download[-h] [-f FILE_NAME] [-p PATH] [-w] [--unzip][-o] [-q][dataset] 更真实的用法 如果单纯在cmd执行个下载指令就大材小用了,我们还可以用kaggleAPI写shell脚本完成更复杂的用法,比如: #!/bin/shDATASET="noxmoon/chinese-official-daily-news-since-2016"ARCHIVE_FILE...
There are lots of machine learning ready datasets available to use for fun or practice on Kaggle's Public Datasets platform. Here is a short list of some of our favorites that we've already had the chance to review. They're all (mostly) cleaned and ready for analysis! This awesome list...
kaggle datasets download 用法 usage:kaggle datasets download [-h] [-f FILE_NAME] [-p PATH] [-w] [--unzip] [-o] [-q][dataset] 更真实的用法 如果单纯在cmd执行个下载指令就大材小用了,我们还可以用kaggleAPI写shell脚本完成更复杂的用法,比如: ...
train_file = r'datasets/train.csv'test_file = r'datasets/test.csv'data = pd.read_csv(train_file,index_col='PassengerId')data_sub = pd.read_csv(test_file,index_col='PassengerId')data_copy = data.copy()del data_copy['Survived']data_all = pd.concat([data_copy,data_sub]) #数据合...
from datasets import load_dataset from tqdm.auto import tqdm from accelerate import Accelerator import torch from torch.utils.data import DataLoader import transformers from transformers import ( CONFIG_MAPPING, MODEL_MAPPING, AdamW, AutoConfig,
1. Import modules and datasets needed 2. Do an overview of datasets and a subsequent datasets preprocessing 3. Build models and select the better performer 4. Use the "best model" to do prediction Submission File Format: You should submit a csv file with exactly 418 entries plus a header ...