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README.md
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- split: train
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path: data/train-*
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<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/66c73598ac384b32b9c7725a/OZzZ2QpJe1ZM6srWnB1Yj.qt"></video>
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[](https://app.visual-layer.com/dataset/efbbf2ae-6507-11ef-a4e6-aa6d4667de12/data?p=1&page=1&utm_source=hugging_face )
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# Mnist-VL-Enriched
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An enriched version of the Mnist Dataset with image captions, bounding boxes, and label issues! With this additional information, the Mnist dataset can be extended to various tasks such as image retrieval or visual question answering.
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The dataset consists of 3 columns:
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## Usage
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- split: train
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path: data/train-*
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---
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[](https://app.visual-layer.com/dataset/efbbf2ae-6507-11ef-a4e6-aa6d4667de12/data?p=1&page=1&utm_source=hugging_face )
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<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/66c73598ac384b32b9c7725a/OZzZ2QpJe1ZM6srWnB1Yj.qt"></video>
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# Mnist-VL-Enriched
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An enriched version of the Mnist Dataset with image captions, bounding boxes, and label issues! With this additional information, the Mnist dataset can be extended to various tasks such as image retrieval or visual question answering.
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The dataset consists of 3 columns:
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- `image_uri`: The uri of original of the image from the Mnist dataset.
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- `label`: Label for the image, provided by the authors of the Mnist dataset.
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- `image_issues`: Quality issues found, such as duplicate, mislabeled, dark, blurry, bright, and outlier images.
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## Usage
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