fix datasets docs (#476)

ShahJahanIshaq · web-flow · commit 38db07f80cb8 · 2023-07-04T10:55:11.000+08:00
diff --git a/docs/cn/datasets/borndigital.md b/docs/cn/datasets/borndigital.md
@@ -6,7 +6,7 @@
 
 注意: 在下载之前，你需要先注册一个账号。
 
-<details>
+<details open markdown>
     <summary>从何处下载Born-Digital Images数据集</summary>
 
 [下载地址](https://rrc.cvc.uab.es/?ch=1&com=downloads)
diff --git a/docs/cn/datasets/casia10k.md b/docs/cn/datasets/casia10k.md
@@ -3,7 +3,7 @@
 ## 数据集下载
 CASIA-10K 数据集[官网](http://www.nlpr.ia.ac.cn/pal/CASIA10K.html)
 
-<details>
+<details open markdown>
     <summary>从何处下载CASIA-10K数据集</summary>
 
 [下载地址](http://www.nlpr.ia.ac.cn/pal/CASIA10K.html)
diff --git a/docs/cn/datasets/ccpd.md b/docs/cn/datasets/ccpd.md
@@ -3,7 +3,7 @@
 ## 数据集下载
 
 CCPD数据集[官网](https://github.com/detectRecog/CCPD)
-<details>
+<details open markdown>
     <summary>从何处下载CCPD数据集</summary>
 
 [下载地址](https://github.com/detectRecog/CCPD)
diff --git a/docs/cn/datasets/cocotext.md b/docs/cn/datasets/cocotext.md
@@ -6,7 +6,7 @@ COCO-Text数据集[官网](https://rrc.cvc.uab.es/?ch=5)
 
 注意: 在下载之前，你需要先注册一个账号。
 
-<details>
+<details open markdown>
     <summary>从何处下载COCO-Text数据集</summary>
 
 [下载地址](https://rrc.cvc.uab.es/?ch=5&com=downloads)，注释可下载 `annotations v1.4 JSON`。
diff --git a/docs/cn/datasets/ctw.md b/docs/cn/datasets/ctw.md
@@ -6,7 +6,7 @@ COCO-Text数据集[官网](https://ctwdataset.github.io/)
 
 注意: 您需要填写表格才能下载此数据集。
 
-<details>
+<details open markdown>
     <summary>从何处下载CTW数据集</summary>
 
 [下载地址](https://ctwdataset.github.io/downloads.html)
diff --git a/docs/cn/datasets/ic19_art.md b/docs/cn/datasets/ic19_art.md
@@ -6,7 +6,7 @@ ICDAR2019 ArT数据集[官网](https://rrc.cvc.uab.es/?ch=14)
 
 注意: 在下载之前，你需要先注册一个账号。
 
-<details>
+<details open markdown>
     <summary>从何处下载ICDAR2019 ArT数据集</summary>
 
 [下载地址](https://rrc.cvc.uab.es/?ch=14&com=downloads)
diff --git a/docs/cn/datasets/icdar2015.md b/docs/cn/datasets/icdar2015.md
@@ -5,7 +5,7 @@ ICDAR 2015 [文章](https://rrc.cvc.uab.es/?ch=4)
 
 [下载地址](https://rrc.cvc.uab.es/?ch=4&com=downloads): 在下载之前，您需要先注册一个账号。
 
-<details>
+<details open markdown>
   <summary>从何处下载 ICDAR 2015</summary>
 
 ICDAR 2015 挑战赛分为三个任务。任务1是文本定位。任务3是单词识别。任务4是端到端文本检测识别。任务2文本分割的数据不可用。
diff --git a/docs/cn/datasets/lsvt.md b/docs/cn/datasets/lsvt.md
@@ -6,7 +6,7 @@ LSVT数据集[官网](https://rrc.cvc.uab.es/?ch=16)
 
 注意: 在下载之前，你需要先注册一个账号。
 
-<details>
+<details open markdown>
     <summary>从何处下载LSVT数据集</summary>
 
 [下载地址](https://rrc.cvc.uab.es/?ch=16&com=downloads)
diff --git a/docs/cn/datasets/mlt2017.md b/docs/cn/datasets/mlt2017.md
@@ -6,7 +6,7 @@ MLT (Multi-Lingual) 2017 [文章](https://ieeexplore.ieee.org/abstract/document/
 
 [下载地址](https://rrc.cvc.uab.es/?ch=8&com=downloads): 在下载之前，您需要先注册一个账号。
 
-<details>
+<details open markdown>
   <summary>从何处下载 MLT 2017</summary>
 
 MLT 2017 数据集包含两个任务. 任务 1 是文本检测 (多语言文本)。 任务2是文本识别。
diff --git a/docs/cn/datasets/mtwi2018.md b/docs/cn/datasets/mtwi2018.md
@@ -6,7 +6,7 @@ LSVT数据集[官网](https://tianchi.aliyun.com/competition/entrance/231651/int
 
 注意: 在下载之前，你需要先注册一个账号。
 
-<details>
+<details open markdown>
     <summary>从何处下载ICPR MTWI-2018数据集</summary>
 
 [下载地址](https://tianchi.aliyun.com/dataset/137084?t=1687249173526)
diff --git a/docs/cn/datasets/rctw17.md b/docs/cn/datasets/rctw17.md
@@ -3,7 +3,7 @@
 ## 数据集下载
 
 RCTW-17数据集[官网](https://rctw.vlrlab.net/)
-<details>
+<details open markdown>
     <summary>从何处下载RCTW-17数据集</summary>
 
 [下载地址](https://rctw.vlrlab.net/dataset)
diff --git a/docs/cn/datasets/rects.md b/docs/cn/datasets/rects.md
@@ -6,7 +6,7 @@ ReCTS数据集[官网](https://rrc.cvc.uab.es/?ch=12)
 
 注意: 在下载之前，你需要先注册一个账号。
 
-<details>
+<details open markdown>
     <summary>从何处下载ReCTS数据集</summary>
 
 [下载地址](https://rrc.cvc.uab.es/?ch=12&com=downloads)
diff --git a/docs/cn/datasets/sroie.md b/docs/cn/datasets/sroie.md
@@ -6,7 +6,7 @@ SROIE数据集[官网](https://rrc.cvc.uab.es/?ch=13)
 
 注意: 在下载之前，你需要先注册一个账号。
 
-<details>
+<details open markdown>
     <summary>从何处下载SROIE数据集</summary>
 
 [下载地址](https://rrc.cvc.uab.es/?ch=13&com=downloads)
diff --git a/docs/cn/datasets/textocr.md b/docs/cn/datasets/textocr.md
@@ -4,7 +4,7 @@
 
 TextOCR数据集[官网](https://textvqa.org/textocr/)
 
-<details>
+<details open markdown>
     <summary>从何处下载TextOCR数据集</summary>
 
 [下载地址](https://textvqa.org/textocr/dataset/)
diff --git a/docs/cn/datasets/totaltext.md b/docs/cn/datasets/totaltext.md
@@ -6,7 +6,7 @@ Total-Text [文章](https://arxiv.org/abs/1710.10400)
 
 下载数据集图像 [地址](https://github.com/cs-chan/Total-Text-Dataset/tree/master/Dataset)  (size = 441Mb).
 
-<details>
+<details open markdown>
   <summary>图像下载链接</summary>
 
    [图像下载链接](https://drive.google.com/file/d/1bC68CzsSVTusZVvOkk7imSZSbgD1MqK2/view?usp=sharing) (size = 441Mb).
@@ -15,7 +15,7 @@ Total-Text [文章](https://arxiv.org/abs/1710.10400)
 
 下载数据集标注 [地址](https://github.com/cs-chan/Total-Text-Dataset/tree/master/Groundtruth/Text).
 
-<details>
+<details open markdown>
   <summary>标注下载链接</summary>
 
    [标注下载链接](https://drive.google.com/file/d/1v-pd-74EkZ3dWe6k0qppRtetjdPQ3ms1/view?usp=sharing) for text file format('.txt').
diff --git a/docs/en/datasets/borndigital.md b/docs/en/datasets/borndigital.md
@@ -4,7 +4,7 @@
 ## Data Downloading
 Note: You need to register an account to download this dataset.
 
-<details>
+<details open markdown>
     <summary>How to Download Born-Digital Images and Annotations</summary>
 
 The Born-Digital dataset can be downloaded from [here](https://rrc.cvc.uab.es/?ch=1&com=downloads).
diff --git a/docs/en/datasets/casia10k.md b/docs/en/datasets/casia10k.md
@@ -3,7 +3,7 @@
 
 ## Data Downloading
 
-<details>
+<details open markdown>
     <summary>How to Download CASIA-10K Images and Annotations</summary>
 
 The CASIA-10K dataset can be downloaded from [here](http://www.nlpr.ia.ac.cn/pal/CASIA10K.html).
diff --git a/docs/en/datasets/ccpd.md b/docs/en/datasets/ccpd.md
@@ -3,7 +3,7 @@
 
 ## Data Downloading
 
-<details>
+<details open markdown>
     <summary>How to Download the CCPD Dataset</summary>
 
 The CCPD can be downloaded from [here](https://github.com/detectRecog/CCPD) using either the Google or BaiduYun drive links.
diff --git a/docs/en/datasets/cocotext.md b/docs/en/datasets/cocotext.md
@@ -5,14 +5,14 @@
 
 Note: You need to register an account to download this dataset.
 
-<details>
+<details open markdown>
     <summary>How to Download COCO-Text Images</summary>
 
 The COCO-Text images dataset can be downloaded from [here](https://rrc.cvc.uab.es/?ch=5&com=downloads).
 
 </details>
 
-<details>
+<details open markdown>
     <summary>How to Download COCO-Text Annotations</summary>
 
 The COCO-Text annotations (in JSON format), `annotations v1.4 JSON`, can be downloaded from [here](https://rrc.cvc.uab.es/?ch=5&com=downloads).
diff --git a/docs/en/datasets/ctw.md b/docs/en/datasets/ctw.md
@@ -5,7 +5,7 @@
 
 Note: You need to fill in a form to download this dataset.
 
-<details>
+<details open markdown>
     <summary>How to Download CTW Images</summary>
 
 The CTW images dataset can be downloaded from [here](https://ctwdataset.github.io/downloads.html).
@@ -14,7 +14,7 @@ The images are in 26 batches, i.e. 26 different .tar archived files of the forma
 
 </details>
 
-<details>
+<details open markdown>
     <summary>How to Download CTW Annotations</summary>
 
 The CTW annotations (in JSON Lines format i.e. `.jsonl`) can be downloaded from [here](https://ctwdataset.github.io/downloads.html).
diff --git a/docs/en/datasets/ic19_art.md b/docs/en/datasets/ic19_art.md
@@ -5,7 +5,7 @@
 
 Note: You need to register an account to download this dataset.
 
-<details>
+<details open markdown>
     <summary>How to Download ICDAR2019 ArT Images and Annotations</summary>
 
 The ICDAR2019 ArT images and annotations dataset can be downloaded from [here](https://rrc.cvc.uab.es/?ch=14&com=downloads).
diff --git a/docs/en/datasets/icdar2015.md b/docs/en/datasets/icdar2015.md
@@ -5,7 +5,7 @@ ICDAR 2015 [paper](https://rrc.cvc.uab.es/?ch=4)
 
 [download source](https://rrc.cvc.uab.es/?ch=4&com=downloads): one must register an account to download the dataset.
 
-<details>
+<details open markdown>
   <summary>Where to Download ICDAR 2015</summary>
 
 ICDAR 2015 Challenge has three tasks. Task 1 is Text Localization. Task 3 is Word Recognition. Task 4 is End-to-end Text Spotting. Task 2 Text Segmentation is not available.
diff --git a/docs/en/datasets/lsvt.md b/docs/en/datasets/lsvt.md
@@ -4,7 +4,7 @@
 ## Data Downloading
 Note: You need to register an account to download this dataset.
 
-<details>
+<details open markdown>
     <summary>How to Download LSVT Images</summary>
 
 The LSVT images dataset can be downloaded from [here](https://rrc.cvc.uab.es/?ch=16&com=downloads).
@@ -15,7 +15,7 @@ The images are split into two zipped files `train_full_images_0.tar.gz` and `tra
 
 After downloading the images as above, unzip them and collect them into a single folder e.g. `train_images`.
 
-<details>
+<details open markdown>
     <summary>How to Download LSVT Annotations</summary>
 
 The LSVT annotations (in JSON format) can be downloaded from [here](https://rrc.cvc.uab.es/?ch=16&com=downloads).
diff --git a/docs/en/datasets/mlt2017.md b/docs/en/datasets/mlt2017.md
@@ -6,7 +6,7 @@ MLT (Multi-Lingual) 2017 [paper](https://ieeexplore.ieee.org/abstract/document/8
 
 [download source](https://rrc.cvc.uab.es/?ch=8&com=downloads). One need to register an account to download this dataset.
 
-<details>
+<details open markdown>
   <summary>Where to Download MLT 2017</summary>
 
 MLT 2017 dataset consists of two tasks. Task 1 is Text detection (Multi-Language Script) and Task 2 is Word Recognition.
diff --git a/docs/en/datasets/mtwi2018.md b/docs/en/datasets/mtwi2018.md
@@ -4,7 +4,7 @@
 ## Data Downloading
 Note: You need to register an account to download this dataset.
 
-<details>
+<details open markdown>
     <summary>How to Download ICPR MTWI-2018 Dataset</summary>
 
 The ICPR MTWI-2018 images dataset can be downloaded from [here](https://tianchi.aliyun.com/dataset/137084?t=1687249173526).
diff --git a/docs/en/datasets/rctw17.md b/docs/en/datasets/rctw17.md
@@ -3,7 +3,7 @@
 
 ## Data Downloading
 
-<details>
+<details open markdown>
     <summary>How to Download RCTW-17 Dataset</summary>
 
 The RCTW dataset can be downloaded from [here](https://rctw.vlrlab.net/dataset).
diff --git a/docs/en/datasets/rects.md b/docs/en/datasets/rects.md
@@ -4,7 +4,7 @@
 ## Data Downloading
 Note: You need to register an account to download this dataset.
 
-<details>
+<details open markdown>
     <summary>How to Download ReCTS Images and Annotations</summary>
 
 The ReCTS images and annotations dataset can be downloaded from [here](https://rrc.cvc.uab.es/?ch=12&com=downloads).
diff --git a/docs/en/datasets/sroie.md b/docs/en/datasets/sroie.md
@@ -4,7 +4,7 @@
 ## Data Downloading
 Note: You need to register an account to download this dataset.
 
-<details>
+<details open markdown>
     <summary>How to Download SROIE Dataset</summary>
 
 The SROIE dataset can be downloaded from [here](https://rrc.cvc.uab.es/?ch=13&com=downloads).
diff --git a/docs/en/datasets/textocr.md b/docs/en/datasets/textocr.md
@@ -3,7 +3,7 @@
 
 ## Data Downloading
 
-<details>
+<details open markdown>
     <summary>How to Download TextOCR Dataset</summary>
 
 The TextOCR dataset can be downloaded from [here](https://textvqa.org/textocr/dataset/).
diff --git a/docs/en/datasets/totaltext.md b/docs/en/datasets/totaltext.md
@@ -6,7 +6,7 @@ Total-Text [paper](https://arxiv.org/abs/1710.10400)
 
 Download Total-Text Images from [source](https://github.com/cs-chan/Total-Text-Dataset/tree/master/Dataset)  (size = 441Mb).
 
-<details>
+<details open markdown>
   <summary>How to Download Total-Text Images</summary>
 
    The Total-Text dataset can be downloaded at [this https URL](https://drive.google.com/file/d/1bC68CzsSVTusZVvOkk7imSZSbgD1MqK2/view?usp=sharing) (size = 441Mb).
@@ -15,7 +15,7 @@ Download Total-Text Images from [source](https://github.com/cs-chan/Total-Text-D
 
 Download Total-Text Ground Truth from [source](https://github.com/cs-chan/Total-Text-Dataset/tree/master/Groundtruth/Text).
 
-<details>
+<details open markdown>
   <summary>How to Download Total-Text Ground Truth</summary>
 
    The groundtruth of the Total-Text dataset can be downloaded through  [this https URL](https://drive.google.com/file/d/1v-pd-74EkZ3dWe6k0qppRtetjdPQ3ms1/view?usp=sharing) for text file format('.txt').
