|
--- |
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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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license: mit |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- visual-question-answering |
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pretty_name: XVNLI |
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dataset_info: |
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features: |
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- name: label |
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dtype: string |
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- name: caption |
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dtype: string |
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- name: hypothesis |
|
dtype: string |
|
- name: caption_id |
|
dtype: string |
|
- name: pair_id |
|
dtype: string |
|
- name: flikr30k_id |
|
dtype: string |
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- name: image |
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struct: |
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- name: bytes |
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dtype: binary |
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- name: path |
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dtype: 'null' |
|
splits: |
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- name: ar |
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num_bytes: 45192381 |
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num_examples: 1164 |
|
- name: en |
|
num_bytes: 45141859 |
|
num_examples: 1164 |
|
- name: es |
|
num_bytes: 45162738 |
|
num_examples: 1164 |
|
- name: fr |
|
num_bytes: 45161740 |
|
num_examples: 1164 |
|
- name: ru |
|
num_bytes: 45256629 |
|
num_examples: 1164 |
|
download_size: 70974300 |
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dataset_size: 225915347 |
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configs: |
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- config_name: default |
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data_files: |
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- split: ar |
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path: data/ar-* |
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- split: en |
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path: data/en-* |
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- split: es |
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path: data/es-* |
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- split: fr |
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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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|
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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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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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|
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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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``` |