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@@ -4,6 +4,7 @@ task_categories:
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  - visual-question-answering
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  - image-to-text
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  language:
 
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  - ar
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  - de
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  - vi
@@ -16,6 +17,7 @@ language:
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  tags:
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  - multilingual
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  - text-centric
 
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  size_categories:
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  - 10K<n<100K
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  ---
@@ -24,8 +26,10 @@ size_categories:
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  The dataset is oriented toward visual question answering of multilingual text scenes in nine languages, including Korean, Japanese, Italian, Russian, Deutsch, French, Thai, Arabic, and Vietnamese. The question-answer pairs are labeled by native annotators following a series of rules. A comprehensive description of the dataset can be found in the paper [MTVQA](https://arxiv.org/pdf/2405.11985).
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  ## - Image Distribution
 
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  <table style="width:60%;">
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  <tr>
 
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  <td><b>KO</b></td>
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  <td><b>JA</b></td>
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  <td><b>IT</b></td>
@@ -35,7 +39,7 @@ The dataset is oriented toward visual question answering of multilingual text sc
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  <td><b>TH</b></td>
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  <td><b>AR</b></td>
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  <td><b>VI</b></td>
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- <td><b>Total</b></td>
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  </tr>
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  <tr>
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  <td><b>Train Images</b></td>
@@ -48,6 +52,7 @@ The dataset is oriented toward visual question answering of multilingual text sc
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  <td>319</td>
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  <td>568</td>
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  <td>1139</td>
 
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  </tr>
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  <tr>
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  <td><b>Test Images</b></td>
@@ -60,6 +65,7 @@ The dataset is oriented toward visual question answering of multilingual text sc
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  <td>116</td>
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  <td>250</td>
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  <td>250</td>
 
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  </tr>
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  <tr>
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  <td><b>Train QA</b></td>
@@ -72,6 +78,7 @@ The dataset is oriented toward visual question answering of multilingual text sc
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  <td>625</td>
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  <td>1597</td>
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  <td>4011</td>
 
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  </tr>
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  <tr>
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  <td><b>Test QA</b></td>
@@ -84,10 +91,10 @@ The dataset is oriented toward visual question answering of multilingual text sc
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  <td>231</td>
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  <td>703</td>
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  <td>884</td>
 
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  </tr>
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  </table>
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-
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  ## - LeaderBoard
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  <table style="width:75%;">
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  <tr>
@@ -349,8 +356,6 @@ from datasets import load_dataset
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  dataset = load_dataset("ByteDance/MTVQA")
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  ```
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-
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-
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  ## - Out-of-Scope usage
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  Academic use only, not supported for commercial usage.
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@@ -373,4 +378,3 @@ Your access to and use of this dataset are at your own risk. We do not guarantee
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  }
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  ```
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- #WIP Coming Soon
 
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  - visual-question-answering
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  - image-to-text
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  language:
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+ - multilingual
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  - ar
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  - de
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  - vi
 
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  tags:
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  - multilingual
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  - text-centric
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+ - vqa
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  size_categories:
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  - 10K<n<100K
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  ---
 
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  The dataset is oriented toward visual question answering of multilingual text scenes in nine languages, including Korean, Japanese, Italian, Russian, Deutsch, French, Thai, Arabic, and Vietnamese. The question-answer pairs are labeled by native annotators following a series of rules. A comprehensive description of the dataset can be found in the paper [MTVQA](https://arxiv.org/pdf/2405.11985).
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  ## - Image Distribution
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+
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  <table style="width:60%;">
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  <tr>
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+ <td></td>
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  <td><b>KO</b></td>
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  <td><b>JA</b></td>
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  <td><b>IT</b></td>
 
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  <td><b>TH</b></td>
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  <td><b>AR</b></td>
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  <td><b>VI</b></td>
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+ <td><b>Total</b> </td>
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  </tr>
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  <tr>
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  <td><b>Train Images</b></td>
 
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  <td>319</td>
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  <td>568</td>
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  <td>1139</td>
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+ <td>6678 </td>
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  </tr>
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  <tr>
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  <td><b>Test Images</b></td>
 
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  <td>116</td>
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  <td>250</td>
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  <td>250</td>
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+ <td>2116 </td>
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  </tr>
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  <tr>
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  <td><b>Train QA</b></td>
 
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  <td>625</td>
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  <td>1597</td>
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  <td>4011</td>
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+ <td>21829 </td>
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  </tr>
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  <tr>
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  <td><b>Test QA</b></td>
 
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  <td>231</td>
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  <td>703</td>
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  <td>884</td>
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+ <td>6778</td>
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  </tr>
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  </table>
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  ## - LeaderBoard
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  <table style="width:75%;">
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  <tr>
 
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  dataset = load_dataset("ByteDance/MTVQA")
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  ```
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  ## - Out-of-Scope usage
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  Academic use only, not supported for commercial usage.
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  }
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  ```
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