docs: Updated README

README.md

@@ -1,18 +1,18 @@
 ---
 annotations_creators:
 - crowdsourced
-language: []
+language:
+- en
 language_creators:
 - crowdsourced
 license:
 - apache-2.0
 multilinguality: []
-pretty_name: Wildfire image classification dataset collected using images from web
-  searches.
+pretty_name: Imagenette
 size_categories:
 - 1K<n<10K
 source_datasets:
-- original
+- extended
 task_categories:
 - image-classification
 task_ids:
@@ -48,14 +48,13 @@ task_ids:
 
 ## Dataset Description
 
-- **Homepage:** https://pyronear.org/pyro-vision/datasets.html#openfire
-- **Repository:** https://github.com/pyronear/pyro-vision
-- **Point of Contact:** Pyronear <https://pyronear.org/en/>
+- **Homepage:** https://github.com/fastai/imagenette
+- **Repository:** https://github.com/fastai/imagenette
+- **Point of Contact:** Jeremy Howard <https://github.com/fastai/imagenette>
 
 ### Dataset Summary
 
-OpenFire is an image classification dataset for wildfire detection, collected
-from web searches.
+A smaller subset of 10 easily classified classes from [Imagenet](https://huggingface.co/datasets/imagenet-1k#dataset-summary), and a little more French.
 
 ### Supported Tasks and Leaderboards
 
@@ -63,7 +62,7 @@ from web searches.
 
 ### Languages
 
-English
+The class labels in the dataset are in English.
 
 ## Dataset Structure
 
@@ -73,67 +72,69 @@ 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,
+  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1024x755 at 0x19FA12186D8>,
+  'label': 'tench',
 }
 ```
 
 ### 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.
+- `image`: A `PIL.Image.Image` object containing the image.
+- `label`: the expected class label of 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.
+|          |train|validation|
+|----------|----:|---------:|
+|imagenette| 9469|      3925|
+
 
 ## 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.
+cf. https://huggingface.co/datasets/imagenet-1k#curation-rationale
 
 ### 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.
+Imagenette is a subset of [ImageNet](https://huggingface.co/datasets/imagenet-1k). Information about data collection of the source data can be found [here](https://huggingface.co/datasets/imagenet-1k#initial-data-collection-and-normalization).
 
 ### 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.
+cf. https://huggingface.co/datasets/imagenet-1k#annotation-process
 
 #### Who are the annotators?
 
-François-Guillaume Fernandez
+cf. https://huggingface.co/datasets/imagenet-1k#who-are-the-annotators
 
 ### Personal and Sensitive Information
 
-[More Information Needed]
+cf. https://huggingface.co/datasets/imagenet-1k#personal-and-sensitive-information
 
 ## Considerations for Using the Data
 
 ### Social Impact of Dataset
 
-[More Information Needed]
+cf. https://huggingface.co/datasets/imagenet-1k#social-impact-of-dataset
 
 ### Discussion of Biases
 
-[More Information Needed]
+cf. https://huggingface.co/datasets/imagenet-1k#discussion-of-biases
 
 ### Other Known Limitations
 
-[More Information Needed]
+cf. https://huggingface.co/datasets/imagenet-1k#other-known-limitations
 
 ## Additional Information
 
 ### Dataset Curators
 
-François-Guillaume Fernandez
+cf. https://huggingface.co/datasets/imagenet-1k#dataset-curators
+and Jeremy Howard
 
 ### Licensing Information
 
@@ -142,12 +143,16 @@ François-Guillaume Fernandez
 ### Citation Information
 
 ```
-@software{Pyronear_PyroVision_2019,
-    title={Pyrovision: wildfire early detection},
-    author={Pyronear contributors},
+@software{Howard_Imagenette_2019,
+    title={Imagenette: A smaller subset of 10 easily classified classes from Imagenet},
+    author={Jeremy Howard},
     year={2019},
-    month={October},
+    month={March},
     publisher = {GitHub},
-    howpublished = {\url{https://github.com/pyronear/pyro-vision}}
+    url = {https://github.com/fastai/imagenette}
 }
 ```
+
+### Contributions
+
+This dataset was added to HuggingFace Datasets by [@frgfm](https://huggingface.co/frgfm).