Datasets:

jmhessel
/

newyorker_caption_contest

Tasks:

Multiple Choice

Text Classification

Modalities:

Formats:

Sub-tasks:

multi-class-classification

language-modeling

visual-question-answering

Languages:

Size:

ArXiv:

Tags:

caption contest

Libraries:

License:

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jmhessel commited on Nov 8, 2022

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@@ -221,12 +221,15 @@ dset = load_dataset("newyorker_caption_contest", "explanation")
 Or, in the from pixels setting, e.g.,
 ```
-dset = load_dataset("newyorker_caption_contest", "ranking_from_pixels
 ```
 Because the dataset is small, we reported in 5-fold cross-validation setting initially. The default splits are split 0. You can access the other splits, e.g.:
 ```
 # the 4th data split
 dset = load_dataset("newyorker_caption_contest", "explanation_4")
 ```

 Or, in the from pixels setting, e.g.,
 ```
+from datasets import load_dataset
+dset = load_dataset("newyorker_caption_contest", "ranking_from_pixels")
 ```
 Because the dataset is small, we reported in 5-fold cross-validation setting initially. The default splits are split 0. You can access the other splits, e.g.:
 ```
+from datasets import load_dataset
 # the 4th data split
 dset = load_dataset("newyorker_caption_contest", "explanation_4")
 ```