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@@ -50,4 +50,55 @@ configs:
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  path: data/fr-*
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  - split: ru
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  path: data/ru-*
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  path: data/fr-*
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  - split: ru
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  path: data/ru-*
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+ license: mit
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+ task_categories:
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+ - visual-question-answering
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+ language:
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+ - ar
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+ - en
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+ - es
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+ - fr
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+ - ru
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+ pretty_name: XVNLI
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+ size_categories:
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+ - 1K<n<10K
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  ---
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+
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+ # XVNLI
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+
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+ ### This is a copy from the original repo: https://github.com/e-bug/iglue
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+
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+
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+ If you use this dataset, please cite the original authors:
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+ ```bibtex
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+ @inproceedings{bugliarello-etal-2022-iglue,
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+ title = {{IGLUE}: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages},
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+ author = {Bugliarello, Emanuele and Liu, Fangyu and Pfeiffer, Jonas and Reddy, Siva and Elliott, Desmond and Ponti, Edoardo Maria and Vuli{\'c}, Ivan},
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+ booktitle = {Proceedings of the 39th International Conference on Machine Learning},
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+ pages = {2370--2392},
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+ year = {2022},
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+ editor = {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan},
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+ volume = {162},
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+ series = {Proceedings of Machine Learning Research},
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+ month = {17--23 Jul},
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+ publisher = {PMLR},
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+ pdf = {https://proceedings.mlr.press/v162/bugliarello22a/bugliarello22a.pdf},
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+ url = {https://proceedings.mlr.press/v162/bugliarello22a.html},
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+ }
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+ ```
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+
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+ ### How to read the image
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+ Due to a [bug](https://github.com/huggingface/datasets/issues/4796), the images cannot be stored as PIL.Image.Images directly but need to be converted to dataset.Images-. Hence, to load them, this additional step is required:
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+
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+ ```python
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+ from datasets import Image, load_dataset
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+
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+ ds = load_dataset("floschne/xvnli", split="en")
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+ ds.map(
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+ lambda sample: {
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+ "image_t": [Image().decode_example(img) for img in sample["image"]],
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+ },
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+ remove_columns=["image"],
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+ ).rename_columns({"image_t": "image"})
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+
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+ ```