Update README.md

README.md

@@ -1,4 +1,13 @@
 ---
+language:
+- pt
+size_categories:
+- 10K<n<100K
+task_categories:
+- text-to-image
+- image-to-text
+- text-generation
+pretty_name: nocaps Portuguese Translated
 dataset_info:
   features:
   - name: image
@@ -42,3 +51,88 @@ configs:
   - split: validation
     path: data/validation-*
 ---
+
+
+# 🎉 nocaps Dataset Translated for Portuguese Image Captioning
+
+## 💾 Dataset Summary
+
+nocaps Portuguese Translated, a multimodal dataset for Portuguese image captioning benchmark, each image accompanied by ten descriptive captions
+that have been generated by human annotators for every individual image. The original English captions were rendered into Portuguese
+through the utilization of the Google Translator API.
+
+## 🧑‍💻 Hot to Get Started with the Dataset
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset('laicsiifes/nocaps-pt-br')
+```
+
+## ✍️ Languages
+
+The images descriptions in the dataset are in Portuguese.
+
+## 🧱 Dataset Structure
+
+### 📝 Data Instances
+
+An example looks like below: 
+
+```
+{
+  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=L size=732x1024>,
+  'image_coco_url': 'https://s3.amazonaws.com/nocaps/val/0013ea2087020901.jpg',
+  'image_date_captured': '2018-11-06 11:04:33',
+  'image_file_name': '0013ea2087020901.jpg',
+  'image_height': 1024,
+  'image_width': 732,
+  'image_id': 0,
+  'image_license': 0,
+  'image_open_images_id': '0013ea2087020901',
+  'annotations_ids': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
+  'annotations_captions': [
+    'Um bebê está parado na frente de uma casa.',
+    'Uma menina com uma jaqueta branca e sandálias.',
+    'Uma criança está parada na frente de uma casa.',
+    'Uma criança está vestindo uma camisa branca e parada em uma calçada lateral.',
+    'Um garotinho está de fralda e com uma camisa branca.',
+    'Uma criança usando fralda e sapatos está na calçada.',
+    'Uma criança veste uma camisa de cor clara durante o dia.',
+    'Uma criança parada na calçada com uma camisa.',
+    'Foto em preto e branco de uma menina sorrindo.',
+    'um bebê fofo está sozinho com camisa branca'
+  ],
+  'image_domain': 'in-domain'
+}
+```
+
+### 🗃️ Data Fields
+
+The data instances have the following fields:
+
+- `image`: a `PIL.Image.Image` object containing the image.
+- `image_coco_url`: a `str` containing the URL to the original image.
+- `image_date_captured`: a `str` representing the date and time when the image was captured.
+- `image_file_name`: a `str` containing the name of the image file.
+- `image_height`: an `int` representing the height of the image in pixels.
+- `image_width`: an `int` representing the width of the image in pixels.
+- `image_id`: an `int` containing the unique identifier of the image.
+- `image_license`: an `int` representing the license type of the image.
+- `image_open_images_id`: a `str` containing the identifier for the image.
+- `annotations_ids`: a `list` of `int` containing the unique identifiers of the annotations related to the image.
+- `annotations_captions`: a `list` of `str` containing the captions describing the image.
+- `image_domain`: a `str` indicating the domain of the image. It can be: `in-domain`, `near-domain` or `out-of-domain`.
+
+
+## 📋 BibTeX entry and citation info
+
+```bibtex
+@misc{bromonschenkel2024nocapspt,
+  title        = "nocaps Dataset Translated for Portuguese Image Captioning",
+  author       = "Bromonschenkel, Gabriel and Oliveira, Hil{\'a}rio and Paix{\~a}o, Thiago M.",
+  howpublished = "\url{https://huggingface.co/datasets/laicsiifes/nocaps-pt-br}",
+  publisher    = {Hugging Face},
+  year         = "2024"
+}
+```