Update README.md

WIP -- adding to README, will finish later

README.md

@@ -1,35 +1,25 @@
---
-pretty_name: Labeled Information Library of Alexandria (LILA)
+---
 annotations_creators:
 - expert-generated
-language_creators:
-- expert-generated
 license:
 - other
-license_details: Vary depending on the LILA subset used (see individual dataset cards)
-language:
-- en
 language_creators:
 - expert-generated
-license:
-- other
+language:
+- en
 multilinguality:
 - monolingual
-pretty_name: LILA BC is a repository for data sets related to biology and conservation,
-  intended as a resource for both machine learning (ML) researchers and those that
-  want to harness ML for biology and conservation.
 size_categories:
-- 100K<n<1M
+- 10M<n<100M
 source_datasets:
 - original
+task_categories:
+- image-classification
 tags:
 - biodiversity
 - camera trap data
 - wildlife monitoring
-task_categories:
-- image-classification
-task_ids:
-- multi-label-image-classification
+pretty_name: Labeled Information Library of Alexandria (LILA)
 ---
 
 # Dataset Card for LILA 
@@ -73,38 +63,114 @@ LILA BC is a repository for data sets related to biology and conservation, inten
 
 Machine learning depends on labeled data, but accessing such data in biology and conservation is a challenge. Consequently, everyone benefits when labeled data is made available. Biologists and conservation scientists benefit by having data to train on, and free hosting allows teams to multiply the impact of their data (we suggest listing this benefit in grant proposals that fund data collection). ML researchers benefit by having data to experiment with.
 
-LILA BC is intended to host data from a variety of modalities, but emphasis is placed on labeled images; we currently host over ten million labeled images.
+LILA BC is intended to host data from a variety of modalities, but emphasis is placed on labeled images; it currently has over ten million labeled images.
 
 
-LILA BC is maintained by a working group that includes representatives from Ecologize, Zooniverse, the Evolving AI Lab, Snapshot Safari, and Microsoft AI for Earth. Hosting on Microsoft Azure is provided by Microsoft AI for Earth.
 
 ### Supported Tasks and Leaderboards
 
-[More Information Needed]
+No leaderboards exist for LILA.
 
 ### Languages
 
-[More Information Needed]
+The [LILA taxonomy](https://lila.science/taxonomy-mapping-for-camera-trap-data-sets/) is provided in English. 
 
 ## Dataset Structure
 
 ### Data Instances
 
-[More Information Needed]
+Some datasets (e.g. ENA24) have bounding boxes, in which case their data instances look like the following:
+
+```
+  {'id': '1',
+  'file_name': '1.jpg',
+  'width': 1920,
+  'height': 1080,
+  'annotations': {'id': ['d8e94bd2-1df9-11ea-8572-5cf370671a19'],
+   'category_id': [0],
+   'bbox': [[5.47008, 974.41704, 162.279168, 72.973008]],
+   'taxonomy': [{'kingdom': 0,
+     'phylum': 0,
+     'subphylum': 0,
+     'superclass': None,
+     'class': 1,
+     'subclass': None,
+     'infraclass': None,
+     'superorder': None,
+     'order': None,
+     'suborder': None,
+     'infraorder': None,
+     'superfamily': None,
+     'family': None,
+     'subfamily': None,
+     'tribe': None,
+     'genus': None,
+     'species': None,
+     'subspecies': None,
+     'variety': None}]},
+  'image': {'path': 'https://lilablobssc.blob.core.windows.net/ena24/images/1.jpg',
+   'bytes': None}},
+```
+
+Whereas others (e.g. NACTI) do not have bounding boxes:
+
+```
+{'id': '2010_Unit150_Ivan097_img0001.jpg',
+  'file_name': 'part0/sub000/2010_Unit150_Ivan097_img0001.jpg',
+  'width': 2048,
+  'height': 1536,
+  'study': 'CPW',
+  'location': 'San Juan Mntns, Colorado',
+  'annotations': {'id': ['78731496-3aee-11e9-9e0a-0cc47a9dc1ac'],
+   'category_id': [10],
+   'taxonomy': [{'kingdom': 0,
+     'phylum': 0,
+     'subphylum': 0,
+     'superclass': None,
+     'class': 0,
+     'subclass': 0,
+     'infraclass': 0,
+     'superorder': 0,
+     'order': 2,
+     'suborder': 0,
+     'infraorder': None,
+     'superfamily': None,
+     'family': 4,
+     'subfamily': 12,
+     'tribe': 8,
+     'genus': 26,
+     'species': 65,
+     'subspecies': None,
+     'variety': None}]},
+  'bboxes': None,
+  'image': {'path': 'https://lilablobssc.blob.core.windows.net/nacti-unzipped/part0/sub000/2010_Unit150_Ivan097_img0001.jpg',
+   'bytes': None}},
+```
+
+All of the datasets share a common category taxonomy, which is defined on the [LILA website](https://lila.science/taxonomy-mapping-for-camera-trap-data-sets/).
 
 ### Data Fields
 
-[More Information Needed]
+Different datasets may have slightly varying fields, which include:
+
+`id`: image ID \
+`file_name`: the file name \
+`width` and `height`: the dimensions of the image \
+`study`: which research study the image was collected as part of \ 
+`location` : the name of the location at which the image was taken \
+ `annotations`: information about image annotation, which includes `category_id` (the reference to the [ingLILA taxonomy](https://lila.science/taxonomy-mapping-for-camera-trap-data-sets/), the bounding box/boxes (`bbox`/`bboxes`) if any,  as well as any other annotation information. \
+ `image` : the `path` to download the image and any other information that is available, e.g. its size in `bytes`. 
+
 
 ### Data Splits
 
-[More Information Needed]
+This dataset does not have a predefined train/test split.
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-[More Information Needed]
+The datasets that constitute LILA 
 
 ### Source Data
 
@@ -148,7 +214,7 @@ LILA BC is maintained by a working group that includes representatives from Ecol
 
 ### Dataset Curators
 
-[More Information Needed]
+LILA BC is maintained by a working group that includes representatives from Ecologize, Zooniverse, the Evolving AI Lab, Snapshot Safari, and Microsoft AI for Earth. Hosting on Microsoft Azure is provided by Microsoft AI for Earth.
 
 ### Licensing Information