docs: Updated README

README.md

@@ -19,6 +19,135 @@ task_ids:
 - image-classification
 ---
 
-# OpenFire
+# Dataset Card for OpenFire
 
-For more information about this dataset, please refer to its [documentation](https://pyronear.org/pyro-vision/datasets.html#openfire).
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** https://pyronear.org/pyro-vision/datasets.html#openfire
+- **Repository:** https://github.com/pyronear/pyro-vision
+- **Point of Contact:** contact@pyronear.org
+
+### Dataset Summary
+
+OpenFire is an image classification dataset for wildfire detection, collected
+from web searches.
+
+### Supported Tasks and Leaderboards
+
+- `image-classification`: The dataset can be used to train a model for Image Classification.
+
+### Languages
+
+English
+
+## Dataset Structure
+
+### Data Instances
+
+A data point comprises an image URL and its binary label.
+
+```
+{
+  'image_url': 'https://cdn-s-www.ledauphine.com/images/13C08274-6BA6-4577-B3A0-1E6C1B2A573C/FB1200/photo-1338240831.jpg',
+  'is_wildfire': true,
+}
+```
+
+### Data Fields
+
+- `image_url`: the download URL of the image.
+- `is_wildfire`: a boolean value specifying whether there is an ongoing wildfire on the image.
+
+### Data Splits
+
+The data is split into training and validation sets. The training set contains 7143 images and the validation set 792 images.
+
+## Dataset Creation
+
+### Curation Rationale
+
+The curators state that the current wildfire classification datasets typically contain close-up shots of wildfires, with limited variations of weather conditions, luminosity and backrgounds,
+making it difficult to assess for real world performance. They argue that the limitations of datasets have partially contributed to the failure of some algorithms in coping
+with sun flares, foggy / cloudy weather conditions and small scale.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+OpenFire was collected using images publicly indexed by the search engine DuckDuckGo using multiple relevant queries. The images were then manually cleaned to remove errors.
+
+### Annotations
+
+#### Annotation process
+
+Each web search query was designed to yield a single label (with wildfire or without), and additional human verification was used to remove errors.
+
+#### Who are the annotators?
+
+François-Guillaume Fernandez
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+François-Guillaume Fernandez
+
+### Licensing Information
+
+[Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).
+
+### Citation Information
+
+```
+@software{Pyronear_PyroVision_2019,
+    title={Pyrovision: wildfire early detection},
+    author={Pyronear contributors},
+    year={2019},
+    month={October},
+    publisher = {GitHub},
+    howpublished = {\url{https://github.com/pyronear/pyro-vision}}
+}
+```