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README.md

@@ -28,7 +28,7 @@ This is a dataset containing annotated video frames of Plains zebras collected a
 - **Curated by:** Jenna Kline
 - **Homepage:** [wildwing](https://imageomics.github.io/wildwing/)
 - **Repository:** [https://github.com/Imageomics/wildwing](https://github.com/Imageomics/wildwing)
-- **Paper:** [MMLA: Multi-Environment, Multi-Species, Low-Altitude Aerial Footage Dataset](https://arxiv.org/abs/2504.07744)
+- **Paper:** [WildWing: An open-source, autonomous and affordable UAS for animal behaviour video monitoring](https://doi.org/10.1111/2041-210X.70018)
 
 
 <!-- Provide a longer summary of what this dataset is. -->
@@ -52,34 +52,80 @@ The dataset is intended for use in training and evaluating computer vision model
 | `session_2`       | 2025-02-01    | P0940098  | 6,564        | 4096x2160     |
 | **Total Frames:** |  |  | **29,268** |  |
 
+This table shows the data collected at Ol Pejeta Conservancy in Laikipia, Kenya, with session information, dates, frame counts, and pixel resolution.
+
+The dataset includes frames extracted from drone videos captured during five distinct data collection sessions. Each session represents a separate field excursion lasting approximately one hour, conducted at a specific geographic location. Multiple sessions may occur on the same day but in different locations or targeting different animal groups. During each session, multiple drone videos were recorded to capture animals in their natural habitat under varying environmental conditions.
 
 ## Dataset Structure
 ```​
 /dataset/
-    <session_1>/
-        classes.txt>
-        <video_id>_000000.jpg
-        <video_id>_000000.txt
-        <video_id>_000001.jpg
-        ...
-        <video_id>_<frame_number>.jpg
-        <video_id>_<frame_number>.txt
-    <session_2>/
-        classes.txt
-        <video_id>_000000.jpg
-        <video_id>_000000.txt
-        <video_id>_000001.jpg
-        ...
-        <video_id>_<frame_number>.jpg
-        <video_id>_<frame_number>.txt
+    classes.txt
+    session_1/
+        P0800081/
+            partition_1/
+                P0800081_000000.jpg
+                P0800081_000000.txt
+                ...
+                P0800081_007099.txt
+            partition_2/
+                P0800081_007100.jpg
+                P0800081_007100.txt
+                ...
+                P0800081_010048.txt
+        P0830086/
+            P0830086_000000.jpg
+            P0830086_000000.txt
+            ...
+            P0830086_002438.txt
+        P0840087/
+            P0840087_000000.jpg
+            P0840087_000000.txt
+            ...
+            P0840087_004770.txt
+        P0860090/
+            P0860090_000000.jpg
+            P0860090_000000.txt
+            ...
+            P0860090_001753.txt
+        P0870091/
+            P0870091_20250311_000000.jpg
+            P0870091_20250311_000000.txt
+            ...
+            P0870091_20250311_003060.txt
+        metadata.txt
+    session_2/
+        P0910095/
+            partition_1/
+                P0910095_000000.jpg
+                P0910095_000000.txt
+                ...
+                P0910095_002999.txt
+            partition_2/
+                P0910095_003000.jpg
+                P0910095_003000.txt
+                ...
+                P0910095_005977.txt
+        P0940098/
+            partition_1/
+                P0940098_20250311_000000.jpg
+                P0940098_20250311_000000.txt
+                ...
+                P0940098_20250311_003499.txt
+            partition_2/
+                P0940098_20250311_003500.jpg
+                P0940098_20250311_003500.txt
+                ...
+                P0940098_20250311_006563.txt
+        metadata.txt
 ```
 
 ### Data Instances
 All images are names <video_id>_<frame_number>.jpg, each within a folder named for the date of the session. The annotations are in COCO format and are stored in a corresponding .txt file with the same name as the image. 2025-01-31 and 2025-02-01 are the two days of data collection, with a total of 7 sessions. 2025-01-31 has 5 sessions and 2025-02-01 has 2 sessions. 
 
+Note on data partitions: 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.
 
-### Data Fields
 
+### Data Fields
 
 **classes.txt**:
   - `0`: zebra
@@ -203,30 +249,7 @@ This dataset (the compilation) has been marked as dedicated to the public domain
   publisher = {Hugging Face}
 }
 ```
-**Papers**
-
-```​
-@misc{kline2025mmlamultienvironmentmultispecieslowaltitude,
-      title={MMLA: Multi-Environment, Multi-Species, Low-Altitude Aerial Footage 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},
-      year={2025},
-      eprint={2504.07744},
-      archivePrefix={arXiv},
-      primaryClass={cs.CV},
-      url={https://arxiv.org/abs/2504.07744}, 
-}
-```
-```​
-article{kline2025wildwing,
-  title={WildWing: An open-source, autonomous and affordable UAS for animal behaviour video monitoring},
-  author={Kline, Jenna and Zhong, Alison and Irizarry, Kevyn and Stewart, Charles V and Stewart, Christopher and Rubenstein, Daniel I and Berger-Wolf, Tanya},
-  journal={Methods in Ecology and Evolution},
-  year={2025},
-  doi={https://doi.org/10.1111/2041-210X.70018}
-  publisher={Wiley Online Library}
-}
 
-```
 
 ## Acknowledgements