Update README.md

README.md

@@ -1,3 +1,79 @@
 ---
 license: apache-2.0
+language:
+- en
 ---
+---
+viewer: true
+annotations_creators: []
+language: []
+language_creators: []
+license:
+- cc-by-4.0
+pretty_name: lvis
+size_categories:
+- 1M<n<10M
+source_datasets: []
+tags:
+- segmentation
+- coco
+task_categories:
+- image-segmentation
+task_ids:
+- instance-segmentation
+---
+
+# LVIS
+### Dataset Summary
+
+This dataset is the implementation of LVIS dataset into Hugging Face datasets. Please visit the original website for more information. 
+
+- https://www.lvisdataset.org/
+
+### Loading
+This code returns train, validation and test generators.
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("winvoker/lvis")
+```
+
+Objects is a dictionary which contains annotation information like bbox, class.
+```
+DatasetDict({
+    train: Dataset({
+        features: ['id', 'image', 'height', 'width', 'objects'],
+        num_rows: 100170
+    })
+    validation: Dataset({
+        features: ['id', 'image', 'height', 'width', 'objects'],
+        num_rows: 4809
+    })
+    test: Dataset({
+        features: ['id', 'image', 'height', 'width', 'objects'],
+        num_rows: 19822
+    })
+})
+```
+### Access Generators
+```python
+train = dataset["train"]
+validation = dataset["validation"]
+test = dataset["test"] 
+```
+
+An example row is as follows.
+
+```json
+{  'id': 0, 
+   'image': '000000437561.jpg', 
+   'height': 480, 
+   'width': 640, 
+   'objects': {
+               'bboxes': [[[392, 271, 14, 3]], 
+               'classes': [117], 
+               'segmentation': [[376, 272, 375, 270, 372, 269, 371, 269, 373, 269, 373]]
+               }
+ }
+```