Update README.md

README.md

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   - split: train
     path: data/train-*
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+
+# Mnist-VL-Enriched
+
+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.
+
+The label issues help curate a cleaner and leaner dataset.
+
+## Description
+
+The dataset consists of 5 columns:
+
+- **image_uri**: The uri of original of the image from the Mnist dataset.
+- **label**: Label for the image, provided by the authors of the Mnist dataset.
+- **image_issues**: Quality issues found, such as duplicate, mislabeled, dark, blurry, bright, and outlier images.
+- **object_labels**: Objects labels and bbox found in the image.
+- **object_issues**: Image Objects quality issues found, such as duplicate, dark, blurry, bright, and outlier objects.
+
+## Usage
+
+This dataset can be used with the Hugging Face Datasets library:
+
+```python
+import datasets
+ds = datasets.load_dataset("visual-layer/mnist-vl-enriched")
+```
+
+## Interactive Visualization
+
+Visual Layer provides a platform to interactively visualize a dataset and highlight quality issues such as duplicates, mislabels, outliers, etc. Check it out [here](https://app.visual-layer.com/dataset/3972b3fc-1809-11ef-bb76-064432e0d220/data?p=1&page=1&utm_source=hugging_face). No sign-up required
+
+
+## License & Disclaimer
+
+We provide no warranty on the dataset, and the user takes full responsibility for the usage of the dataset. By using the dataset, you agree to the terms of the Mnist dataset license.
+
+
+## About Visual Layer