Update README.md

README.md

@@ -48,6 +48,8 @@ session = fo.launch_app(dataset)
 
 ## Dataset Details
 
+This dataset is a derived work of the public domain ASL MNIST dataset. The original content is CC0, and we have applied an MIT license to the packaging and any additional code or annotations.
+
 ### Dataset Description
 
 This dataset contains 34,627 grayscale images of American Sign Language (ASL) alphabet hand gestures. Each image is 28x28 pixels and represents one of 24 letters from the ASL alphabet. The dataset excludes the letters J and Z as these require motion to be properly signed and cannot be represented in static images.
@@ -68,8 +70,6 @@ The original data was sourced from Kaggle's Sign Language MNIST dataset and has
 
 ## Uses
 
-### Direct Use
-
 This dataset is ideal for:
 - **Computer vision research**: Training and evaluating image classification models
 - **Sign language recognition**: Developing ASL alphabet recognition systems
@@ -106,8 +106,6 @@ Note: Labels 9 (J) and 25 (Z) are excluded as these letters require motion in AS
 
 ## Dataset Creation
 
-### Curation Rationale
-
 This dataset was created to provide an easily accessible, well-structured version of the ASL alphabet dataset for computer vision research and education. The conversion to FiftyOne format enables:
 - Rich visualization and exploration capabilities
 - Advanced querying and filtering