Update README.md

adding broader summary

README.md

@@ -19,7 +19,7 @@ tags:
 - biodiversity
 - camera trap data
 - wildlife monitoring
-pretty_name: Labeled Information Library of Alexandria (LILA)
+pretty_name: LILA Camera Traps
 ---
 
 # Dataset Card for LILA 
@@ -59,7 +59,12 @@ pretty_name: Labeled Information Library of Alexandria (LILA)
 
 ### Dataset Summary
 
-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. 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 Camera Traps is an aggregate data set of images taken by camera traps, which are devices that automatically (e.g. via motion detection) capture images of wild animals to help ecological research.
+
+This data set is the first time when disparate camera trap data sets have been aggregated into a single training environment with a single [taxonomy](https://lila.science/taxonomy-mapping-for-camera-trap-data-sets/).
+
+This data set consists of only camera trap image data sets, whereas the broader [LILA](lila.science/) website also has other 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 this topic.
+
 
 See below for information about each specific dataset that LILA contains:
 
@@ -492,6 +497,7 @@ N/A
 #### Who are the source language producers?
 
 N/A
+
 ### Annotations
 
 #### Annotation process
@@ -504,7 +510,7 @@ The annotations have been provided by domain experts in fields such as biology a
 
 ### Personal and Sensitive Information
 
-Some of the original data sets included a “human” class label; for privacy reasons, these images were removed. Those labels are still present in the metadata. If those images are important to your work, the [LILA maintainers]([email protected]; in some cases it will be possible to release those images under an alternative license.
+Some of the original data sets included a “human” class label; for privacy reasons, these images were removed. Those labels are still present in the metadata. If those images are important to your work, contact the [LILA maintainers]([email protected]), since in some cases it will be possible to release those images under an alternative license.
 
 ## Considerations for Using the Data