Add short description to yaml for API and update some descriptions/links for clarity

README.md

@@ -12,7 +12,16 @@ tags:
 - CV
 - drone
 - zebra
+- Grevy's
+- plains
+- KABR
+- Mpala
+- YOLO
+- "animal detection"
+- "wildlife monitoring"
+- conservation
 size_categories: 10K<n<100K
+description: "Annotated video frames of giraffes, Grevy's zebras, and Plains zebras collected at the Mpala Research Center in Kenya (as part of the KABR project in Jan. 2023). The dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery and is designed to facilitate research in wildlife monitoring and conservation using autonomous drones. Annotations indicate the presence of animals in the images in YOLO format."
 ---
 
 
@@ -30,7 +39,7 @@ The annotations indicate the presence of animals in the images in YOLO format. T
 
 - **Curated by:** Jenna Kline
 - **Homepage:** [mmla project](https://github.com/Imageomics/mmla)
-- **Repository:** [https://github.com/Imageomics/mmla](https://github.com/Imageomics/mmla)
+- **Repository:** [Imageomics/mmla](https://github.com/Imageomics/mmla)
 - **Paper:** [MMLA: Multi-Environment, Multi-Species, Low-Altitude Aerial Footage Dataset](https://arxiv.org/abs/2504.07744)
 
 
@@ -64,7 +73,7 @@ The dataset includes frames extracted from drone videos captured during five dis
 
 
 ## Dataset Structure
-```​
+```
 /dataset/
     classes.txt
     session_1/
@@ -260,7 +269,7 @@ The dataset includes frames extracted from drone videos captured during five dis
 ```
 
 ### Data Instances
-All images are named <video_id_frame>.jpg, each within a folder named for the date of the session. The annotations are in YOLO format and are stored in a corresponding .txt file with the same name as the image. 
+All images are named `<video_id_frame>.jpg`, each within a folder named for the date of the session. The annotations are in YOLO format and are stored in a corresponding .txt file with the same name as the image. 
 
 Note on data partitions: DJI saves video files into 3GB chunks, so each session is divided into multiple video files. HuggingFace limits folders to 10,000 files per folder, so each video file is further divided into partitions of 10,000 files. The partition folders are named `partition_1`, `partition_2`, etc. The original video files are not included in the dataset.
 
@@ -274,14 +283,14 @@ Note on data partitions: DJI saves video files into 3GB chunks, so each session
   - `3`: dog
 
 Note: only zebras and giraffes appear in this dataset; onager and dog classes are included to be consistent across MMLA data collected at other locations, 
-see the data from [Ol Pejeta Conservancy](https://huggingface.co/datasets/imageomics/mmla_opc) and [The Wilds](https://huggingface.co/datasets/imageomics/mmla_wilds) datasets.
+see the MMLA datasets from [Ol Pejeta Conservancy](https://huggingface.co/datasets/imageomics/mmla_opc) and [The Wilds](https://huggingface.co/datasets/imageomics/mmla_wilds).
 
 **frame_id.txt**:
-  - `class`: Class of the object in the image (0 for zebra)
-  - `x_center`: X coordinate of the center of the bounding box (normalized to [0, 1])
-  - `y_center`: Y coordinate of the center of the bounding box (normalized to [0, 1])
-  - `width`: Width of the bounding box (normalized to [0, 1])
-  - `height`: Height of the bounding box (normalized to [0, 1])
+  - `class`: Class of the object in the image (`0` for zebra)
+  - `x_center`: X coordinate of the center of the bounding box (normalized to `[0, 1]`)
+  - `y_center`: Y coordinate of the center of the bounding box (normalized to `[0, 1]`)
+  - `width`: Width of the bounding box (normalized to `[0, 1]`)
+  - `height`: Height of the bounding box (normalized to `[0, 1]`)
 
 <!-- ### Data Splits
 [More Information Needed] -->
@@ -301,7 +310,7 @@ The dataset was created to facilitate research in wildlife monitoring and conser
 ### Source Data
 
 <!-- This section describes the source data (e.g., news text and headlines, social media posts, translated sentences, ...). As well as an original source it was created from (e.g., sampling from Zenodo records, compiling images from different aggregators, etc.) -->
-Please see the original [KABR dataset](https://huggingface.co/datasets/imageomics/KABR) for more information on the source data.
+Please see the original [KABR mini-scene dataset](https://huggingface.co/datasets/imageomics/KABR) for more information on the source data.
 
 #### Data Collection and Processing
 
@@ -368,8 +377,7 @@ This section is meant to convey recommendations with respect to the bias, risk,
 
 ## Licensing Information
 
-This dataset (the compilation) has been marked as dedicated to the public domain by applying the [CC0-1.0 Public Domain Waiver](https://creativecommons.org/publicdomain/zero/1.0/). However, images may be licensed under different terms (as noted above).
-
+This dataset is dedicated to the public domain for the benefit of scientific pursuits. We ask that you cite the dataset and paper using the below citations if you make use of it in your research.
 
 ## Citation
 
@@ -377,7 +385,7 @@ This dataset (the compilation) has been marked as dedicated to the public domain
 **BibTeX:**
 
 **Data**
-```​
+```
 @misc{kline2025mmla,
   author       = {Kline, Jenna and Kholiavchenko, Maksim and Zhong, Alison and Ramirez, Michelle and Stevens, Samuel and Van Tiel, Nina and Campolongo, Elizabeth and Thompson, Matthew and Ramesh Babu, Reshma and Banerji, Namrata and Sheets, Alec and Magersupp, Mia and Balasubramaniam, Sowbaranika and Duporge, Isla and Miliko, Jackson and Rosser, Neil and Stewart, Charles V. and Berger-Wolf, Tanya and Rubenstein, Daniel I.},
   title        = {MMLA Mpala Dataset},
@@ -392,7 +400,7 @@ This dataset (the compilation) has been marked as dedicated to the public domain
 If you use this dataset, please cite the original full length videos it is derived from: [KABR mini-scene raw videos](https://huggingface.co/datasets/imageomics/KABR-mini-scene-raw-videos) and [KABR raw videos](https://huggingface.co/datasets/imageomics/KABR-raw-videos).
 
 **Paper**
-```​
+```
 @misc{kline2025mmla,
       title={MMLA: Multi-Environment, Multi-Species, Low-Altitude Drone Dataset}, 
       author={Jenna Kline and Samuel Stevens and Guy Maalouf and Camille Rondeau Saint-Jean and Dat Nguyen Ngoc and Majid Mirmehdi and David Guerin and Tilo Burghardt and Elzbieta Pastucha and Blair Costelloe and Matthew Watson and Thomas Richardson and Ulrik Pagh Schultz Lundquist},
@@ -406,11 +414,11 @@ If you use this dataset, please cite the original full length videos it is deriv
 
 
 
-Please consider citing our related papers, listed below.
+Please consider also citing our related papers, listed below.
 
 **Related Papers**
 
-```​
+```
 @inproceedings{kholiavchenko2024kabr,
   title={KABR: In-situ dataset for kenyan animal behavior recognition from drone videos},
   author={Kholiavchenko, Maksim and Kline, Jenna and Ramirez, Michelle and Stevens, Sam and Sheets, Alec and Babu, Reshma and Banerji, Namrata and Campolongo, Elizabeth and Thompson, Matthew and Van Tiel, Nina and others},
@@ -420,7 +428,7 @@ Please consider citing our related papers, listed below.
 }
 ```
 
-```​
+```
 @misc{kline2025kabrtools,
       title={kabr-tools: Automated Framework for Multi-Species Behavioral Monitoring}, 
       author={Jenna Kline and Maksim Kholiavchenko and Samuel Stevens and Nina van Tiel and Alison Zhong and Namrata Banerji and Alec Sheets and Sowbaranika Balasubramaniam and Isla Duporge and Matthew Thompson and Elizabeth Campolongo and Jackson Miliko and Neil Rosser and Tanya Berger-Wolf and Charles V. Stewart and Daniel I. Rubenstein},