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@@ -100,12 +100,22 @@ We have 4 Configurations:
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  - **Size of downloaded dataset files:** 23 GB
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  - **Splits:** \['train', 'test', 'val'\]
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  - **Number of Samples per splits:** \[920K, 94.1K, 46.9K\]
 
 
 
 
 
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  #### dev
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  - **Size of downloaded dataset files:** 3 GB
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  - **Splits:** \['test', 'val'\]
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  - **Number of Samples per splits:** \[94.1K, 46.9K\]
 
 
 
 
 
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  #### wecia-emo
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@@ -113,6 +123,11 @@ Intended for the [WECIA](https://iccv23-wecia.github.io/) emotion prediction cha
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  - **Size of downloaded dataset files:** 1.2 GB
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  - **Splits:** \['dev'\]
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  - **Number of Samples per splits:** \[27.9K\]
 
 
 
 
 
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  #### wecia-cap
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@@ -120,6 +135,11 @@ Intended for the [WECIA](https://iccv23-wecia.github.io/) affective caption gene
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  - **Size of downloaded dataset files:** 1.2 GB
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  - **Splits:** \['dev'\]
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  - **Number of Samples per splits:** \[16.3K\]
 
 
 
 
 
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  ### Data Fields
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  The data fields are the same among all configs.
 
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  - **Size of downloaded dataset files:** 23 GB
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  - **Splits:** \['train', 'test', 'val'\]
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  - **Number of Samples per splits:** \[920K, 94.1K, 46.9K\]
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+ - **Loading Script**:
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset(path="youssef101/artelingo", name='artelingo')
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+ ```
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  #### dev
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  - **Size of downloaded dataset files:** 3 GB
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  - **Splits:** \['test', 'val'\]
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  - **Number of Samples per splits:** \[94.1K, 46.9K\]
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+ - **Loading Script**:
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset(path="youssef101/artelingo", name='dev')
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+ ```
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  #### wecia-emo
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  - **Size of downloaded dataset files:** 1.2 GB
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  - **Splits:** \['dev'\]
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  - **Number of Samples per splits:** \[27.9K\]
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+ - **Loading Script**:
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset(path="youssef101/artelingo", name='wecia-emo')
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+ ```
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  #### wecia-cap
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  - **Size of downloaded dataset files:** 1.2 GB
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  - **Splits:** \['dev'\]
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  - **Number of Samples per splits:** \[16.3K\]
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+ - **Loading Script**:
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset(path="youssef101/artelingo", name='wecia-cap')
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+ ```
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  ### Data Fields
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  The data fields are the same among all configs.