Datasets:

AmazonScience
/

WikiDT

 ---
 license: cc-by-sa-3.0
+task_categories:
+- table-question-answering
+- question-answering
+language:
+- en
+tags:
+- documents
+- tables
+- VQA
+pretty_name: WikiDT
+size_categories:
+- 100K<n<1M
 ---
+# WikiDT: Wikipedia Table Document dataset for table extraction and visual question answering
+## Dataset Description
+- **Homepage:**
+- **Repository:**
+- **Paper:**
+- **Leaderboard:**
+- **Point of Contact:**
+### Dataset Summary
+The WikiDT contains multi-level annotations and labels for the question-answering task based on images. Meanwhile, as the questions are answered from some table on the image, and WikiDT provides the table annotation to facilitate the diagnosis of the models and decompose the problem, WikiDT can be also directly used as a
+table recognition dataset.
+The dataset contains 16,887 Wikipedia screenshot, which are segmented to 54,032 subpages since the full screenshots are potentially long. In total, there's 159,905 tables in the dataset. The number of question-answer samples is 70,652. Each QA sample contains triplets of <question, answer, full-page screenshot filename>, and is additionally annotated with retrieval labels (which subpage, and which table). 53,698 QA samples also have SQL annotation.
+For each subpage, OCR and table extraction annotations from two sources are available. While rendering the screenshots, the ground truth table annotation is recorded. Meanwhile, to make the dataset realistic, we also requested OCR and table extraction from [AWS Textract](https://aws.amazon.com/textract/) for each subpage (results obtained during Feb.28, 2023 - Mar.6, 2023).
+### Supported Tasks and Leaderboards
+[More Information Needed]
+### Languages
+[More Information Needed]
+## Dataset Structure
+The WikiDT dataset has the following file structure.
+```
++--WikiDT-dataset
+|  +--WikiTableExtraction
+|  |  +--detection
+|  |  |  +--images  # sub page images
+|  |  |  +--train  # xml table bbox annotation
+|  |  |  +--test  # xml table bbox annotation
+|  |  |  +--val  # xml table bbox annotation
+|  |  |  images_filelist.txt  # index of 54032 images
+|  |  |  test_filelist.txt  # index of 5410 test samples
+|  |  |  train_filelist.txt  # index of 43248 train samples
+|  |  |  val_filelist.txt  # index of 5347 val samples
+|  |  +--structure
+|  |  |  +--images  # images cropped to table region
+|  |  |  +--train  # xml table bbox annotation
+|  |  |  +--test  # xml table bbox annotation
+|  |  |  +--val  # xml table bbox annotation
+|  |  |  images_filelist.txt  # index of 159898 images
+|  |  |  test_filelist.txt  # index of 15989 test samples
+|  |  |  train_filelist.txt  # index of 129980 train samples
+|  |  |  val_filelist.txt  # index of 15991 val samples
+|  +--sample  # TableVQA samples
+|  +--images  # full page image
+|  +--ocr  #  text and bbox for the table content
+|  +--tsv  # extracted table in tsv format
+```
+### Table VQA annotation example
+```
+{'all_ocr_files_textract': ['ocr/textract/16301437_page_seg_0.json',
+                            'ocr/textract/16301437_page_seg_1.json'],
+ 'all_ocr_files_web': ['ocr/web/16301437_page_seg_0.json',
+                       'ocr/web/16301437_page_seg_1.json'],
+ 'all_table_files_textract': ['tsv/textract/16301437_page_0.tsv',
+                              'tsv/textract/16301437_page_1.tsv'],
+ 'all_table_files_web': ['tsv/web/16301437_1.tsv', 'tsv/web/16301437_0.tsv'],
+ 'answer': [['don johnson buckeye st. classic']],
+ 'image': '16301437_page.png',
+ 'ocr_retrieval_file_textract': 'ocr/textract/16301437_page_seg_0.json',
+ 'ocr_retrieval_file_web': 'ocr/web/16301437_page_seg_0.json',
+ 'question': 'Name the Event which has a Score of 209-197?',
+ 'sample_id': '14190',
+ 'sql_str': "SELECT `event` FROM cur_table WHERE  `score` = '209-197'  ",
+ 'sub_page': ['16301437_page_seg_0.png', '16301437_page_seg_1.png'],
+ 'sub_page_retrieved': '16301437_page_seg_0.png',
+ 'subset': 'TFC',
+ 'table_id': '2-16301437-1',
+ 'table_retrieval_file_textract': 'tsv/textract/16301437_page_0.tsv',
+ 'table_retrieval_file_web': 'tsv/web/16301437_1.tsv'}
+```
+### Table Detection annotation example
+```xml
+<annotation>
+  <folder />
+  <filename>204_147_page_crop_5.png</filename>
+  <source>WikiDT Dataset</source>
+  <size>
+    <width>788</width>
+    <height>540.0</height>
+    <depth>3</depth>
+  </size>
+  <object>
+    <name>table</name>
+    <rowspan />
+    <colspan />
+    <bndbox>
+      <xmin>10</xmin>
+      <ymin>10</ymin>
+      <xmax>778</xmax>
+      <ymax>530</ymax>
+    </bndbox>
+  </object>
+  <object>
+    <name>header row</name>
+    <rowspan />
+    <colspan />
+    <bndbox>
+      <xmin>10</xmin>
+      <ymin>10</ymin>
+      <xmax>778</xmax>
+      <ymax>33</ymax>
+    </bndbox>
+  </object>
+  <object>
+    <name>header cell</name>
+    <rowspan />
+    <colspan>10</colspan>
+    <bndbox>
+      <xmin>12</xmin>
+      <ymin>35</ymin>
+      <xmax>776</xmax>
+      <ymax>58</ymax>
+    </bndbox>
+  </object>
+  <object>
+    <name>table row</name>
+    <rowspan />
+    <colspan />
+    <bndbox>
+      <xmin>10</xmin>
+      <ymin>60</ymin>
+      <xmax>778</xmax>
+      <ymax>530</ymax>
+    </bndbox>
+  </object>
+</annotation>
+```
+## Dataset Creation
+### Curation Rationale
+[More Information Needed]
+### Source Data
+#### Initial Data Collection and Normalization
+[More Information Needed]
+#### Who are the source language producers?
+[More Information Needed]
+### Annotations
+#### Annotation process
+[More Information Needed]
+#### Who are the annotators?
+[More Information Needed]
+### Personal and Sensitive Information
+[More Information Needed]
+## Considerations for Using the Data
+### Social Impact of Dataset
+[More Information Needed]
+### Discussion of Biases
+[More Information Needed]
+### Other Known Limitations
+[More Information Needed]
+## Additional Information
+### Dataset Curators
+[More Information Needed]
+### Licensing Information
+[More Information Needed]
+### Citation Information
+[More Information Needed]
+### Contributions
+[More Information Needed]