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--- |
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dataset_info: |
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features: |
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- name: caption |
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dtype: string |
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- name: image |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 1372144989.6 |
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num_examples: 3960 |
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- name: test |
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num_bytes: 343036247.4 |
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num_examples: 990 |
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download_size: 1709055735 |
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dataset_size: 1715181237 |
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language: |
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- en |
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tags: |
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- code |
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size_categories: |
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- 100B<n<1T |
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--- |
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# Dataset Card for "BilbaoCaptions" |
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## Dataset Description |
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- **Homepage:** https://github.com/TheMrguiller/MUCSI_Modal |
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- **Repository:** https://github.com/TheMrguiller/MUCSI_Modal |
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- **Paper:** It is a follow up of the Flamingo model paper |
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- **Leaderboard:** |
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- **Point of Contact:** https://github.com/TheMrguiller/MUCSI_Modal |
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### Dataset Summary |
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This dataset was collected for a proyect for a master degree in Computation and Intelligent System from University of Deusto. It was done by students and recolected from webpages famous in the Basque Country: Deia and Getimages. |
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### Supported Tasks and Leaderboards |
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The dataset is prepared to used it for visual question-answering. |
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### Languages |
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The dataset is in english. |
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## Dataset Structure |
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### Data Fields |
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- `Caption`: This field has the description of the image. |
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- `Image`: This field has the image corresponding to the description. |
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### Data Splits |
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The dataset is split in 80% train and 20% test. |
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## Considerations for Using the Data |
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The dataset has some flaws regarding to the descriptions. The descriptions sometimes are to specific for a captioning task. There are also to many futbol match data, so it isnt to well balanced. There are also some description that are to generic. |
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## Additional Information |
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### Dataset Curators |
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The curators of this dataset where the students from the Masters degree in Computation and Inteligent Systems from University of Deusto. |
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