From 853f0c6bcab6d5d34c5843bd6bf580f5c6be2314 Mon Sep 17 00:00:00 2001
From: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
Date: Tue, 22 Aug 2023 11:29:42 +0800
Subject: [PATCH] [DOC] Update datset download score from opendatalab to
openXlab (#1765)
* update opendatalab to openXlab
* update dataset-index
---------
Co-authored-by: fangyixiao18 <fangyx18@hotmail.com>
---
dataset-index.yml | 4 ++--
docs/en/user_guides/dataset_prepare.md | 14 +++++++-------
docs/zh_CN/user_guides/dataset_prepare.md | 14 +++++++-------
3 files changed, 16 insertions(+), 16 deletions(-)
diff --git a/dataset-index.yml b/dataset-index.yml
index ecf7f5b5..40ca6206 100644
--- a/dataset-index.yml
+++ b/dataset-index.yml
@@ -1,11 +1,11 @@
imagenet1k:
- dataset: ImageNet-1K
+ dataset: OpenDataLab/ImageNet-1K
download_root: data
data_root: data/imagenet
script: tools/dataset_converters/odl_imagenet1k_preprocess.sh
cub:
- dataset: CUB-200-2011
+ dataset: OpenDataLab/CUB-200-2011
download_root: data
data_root: data/CUB_200_2011
script: tools/dataset_converters/odl_cub_preprocess.sh
diff --git a/docs/en/user_guides/dataset_prepare.md b/docs/en/user_guides/dataset_prepare.md
index 7421be22..17ec229b 100644
--- a/docs/en/user_guides/dataset_prepare.md
+++ b/docs/en/user_guides/dataset_prepare.md
@@ -144,15 +144,15 @@ ImageNet has multiple versions, but the most commonly used one is [ILSVRC 2012](
````{group-tab} Download by MIM
-MIM supports downloading from [OpenDataLab](https://opendatalab.com/) and preprocessing ImageNet dataset with one command line.
+MIM supports downloading from [OpenXlab](https://openxlab.org.cn/datasets) and preprocessing ImageNet dataset with one command line.
-_You need to register an account at [OpenDataLab official website](https://opendatalab.com/) and login by CLI._
+_You need to register an account at [OpenXlab official website](https://openxlab.org.cn/datasets) and login by CLI._
```Bash
-# install OpenDataLab CLI tools
-pip install -U opendatalab
-# log in OpenDataLab, register if you don't have an account.
-odl login
+# install OpenXlab CLI tools
+pip install -U openxlab
+# log in OpenXLab
+openxlab login
# download and preprocess by MIM, better to execute in $MMPreTrain directory.
mim download mmpretrain --dataset imagenet1k
```
@@ -278,7 +278,7 @@ test_dataloader = val_dataloader
| [`SUN397`](mmpretrain.datasets.SUN397)(data_root[, split, pipeline, ...]) | ["train", "test"] | [SUN397](https://vision.princeton.edu/projects/2010/SUN/) Dataset. |
| [`VOC`](mmpretrain.datasets.VOC)(data_root[, image_set_path, pipeline, ...]) | ["train", "val", "tranval", "test"] | [Pascal VOC](http://host.robots.ox.ac.uk/pascal/VOC/) Dataset. |
-Some dataset homepage links may be unavailable, and you can download datasets through [OpenDataLab](https://opendatalab.com/), such as [Stanford Cars](https://opendatalab.com/Stanford_Cars/download).
+Some dataset homepage links may be unavailable, and you can download datasets through [OpenXLab](https://openxlab.org.cn/datasets), such as [Stanford Cars](https://openxlab.org.cn/datasets/OpenDataLab/Stanford_Cars).
## Supported Multi-modality Datasets
diff --git a/docs/zh_CN/user_guides/dataset_prepare.md b/docs/zh_CN/user_guides/dataset_prepare.md
index 59a0d0af..aa1e1fde 100644
--- a/docs/zh_CN/user_guides/dataset_prepare.md
+++ b/docs/zh_CN/user_guides/dataset_prepare.md
@@ -142,15 +142,15 @@ ImageNet 有多个版本，但最常用的一个是 [ILSVRC 2012](http://www.ima
````{group-tab} MIM 下载
-MIM支持使用一条命令行从 [OpenDataLab](https://opendatalab.com/) 下载并预处理 ImageNet 数据集。
+MIM支持使用一条命令行从 [OpenXLab](https://openxlab.org.cn/datasets?lang=zh-CN) 下载并预处理 ImageNet 数据集。
-_需要在 [OpenDataLab 官网](https://opendatalab.com/) 注册账号并命令行登录_。
+_需要在 [OpenXLab 官网](https://openxlab.org.cn/datasets?lang=zh-CN) 注册账号并命令行登录_。
```Bash
-# 安装opendatalab库
-pip install -U opendatalab
-# 登录到 OpenDataLab, 如果还没有注册，请到官网注册一个
-odl login
+# 安装 OpenXLab CLI 工具
+pip install -U openxlab
+# 登录 OpenXLab
+openxlab login
# 使用 MIM 下载数据集, 最好在 $MMPreTrain 目录执行
mim download mmpretrain --dataset imagenet1k
```
@@ -276,7 +276,7 @@ test_dataloader = val_dataloader
| [`SUN397`](mmpretrain.datasets.SUN397)(data_root[, split, pipeline, ...]) | ["train", "test"] | [SUN397](https://vision.princeton.edu/projects/2010/SUN/) 数据集 |
| [`VOC`](mmpretrain.datasets.VOC)(data_root[, image_set_path, pipeline, ...]) | ["train", "val", "tranval", "test"] | [Pascal VOC](http://host.robots.ox.ac.uk/pascal/VOC/) 数据集 |
-有些数据集主页链接可能已经失效，您可以通过[OpenDataLab](https://opendatalab.com/)下载数据集，例如 [Stanford Cars](https://opendatalab.com/Stanford_Cars/download)数据集。
+有些数据集主页链接可能已经失效，您可以通过[OpenXLab](https://openxlab.org.cn/datasets?lang=zh-CN)下载数据集，例如 [Stanford Cars](https://openxlab.org.cn/datasets/OpenDataLab/Stanford_Cars)数据集。
## OpenMMLab 2.0 标准数据集