Datasets:
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README.md
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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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# XVNLI
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### This is a copy from the original repo: https://github.com/e-bug/iglue
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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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### 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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```python
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from datasets import Image, load_dataset
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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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