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README.md

@@ -30,6 +30,8 @@ This is a dataset containing annotated video frames of giraffes, Grevy's zebras,
 - **Repository:** [https://github.com/Imageomics/wildwing](https://github.com/Imageomics/wildwing)
 - **Papers:** 
 
+  - [MMLA: Multi-Environment, Multi-Species, Low-Altitude Aerial Footage Dataset](https://arxiv.org/abs/2504.07744)
+
   - [WildWing: An open-source, autonomous and affordable UAS for animal behaviour video monitoring](https://doi.org/10.1111/2041-210X.70018)
 
   - [Deep Dive KABR](https://doi.org/10.1007/s11042-024-20512-4)
@@ -38,7 +40,6 @@ This is a dataset containing annotated video frames of giraffes, Grevy's zebras,
 
 
 
-
 <!-- Provide a longer summary of what this dataset is. -->
 This dataset contains video frames collected as part of the [Kenyan Animal Behavior Recognition (KABR)](https://kabrdata.xyz/) project at the [Mpala Research Center](https://mpala.org/) in Kenya in January 2023. 
 
@@ -47,14 +48,14 @@ Sessions 1 and 2 are part of the [original KABR data release](https://huggingfac
 The dataset consists of 104,062 frames. Each frame is accompanied by annotations in COCO format, indicating the presence of zebras and giraffes and their bounding boxes within the images. The annotations were completed manually by the dataset curator using [CVAT](https://www.cvat.ai/) and [kabr-tools](https://github.com/Imageomics/kabr-tools).
 
 
-| Session | Date Collected | Total Frames | Species                         |
-|---------|---------------|--------------|---------------------------------|
-|  `session_1`       | 2023-01-12    | 16,891       | Giraffe                         |
-|  `session_2`      | 2023-01-17    | 11,165       | Plains zebra                    |
-|  `session_3`       | 2023-01-18    | 17,940       | Grevy's zebra                   |
-|  `session_4`       | 2023-01-20    | 33,960       | Grevy's zebra                   |
-|  `session_5`       | 2023-01-21    | 24,106       | Giraffe, Plains and Grevy's zebras |
-| **Total Frames:** |  | **104,062** | |
+| Session | Date Collected | Total Frames | Species | Video File IDs |
+|---------|---------------|--------------|---------|----------------|
+| `session_1` | 2023-01-12 | 16,891 | Giraffe | DJI_0001, DJI_0002 |
+| `session_2` | 2023-01-17 | 11,165 | Plains zebra | DJI_0005, DJI_0006 |
+| `session_3` | 2023-01-18 | 17,940 | Grevy's zebra | DJI_0068, DJI_0069, DJI_0070, DJI_0071 |
+| `session_4` | 2023-01-20 | 33,960 | Grevy's zebra | DJI_0142, DJI_0143, DJI_0144, DJI_0145, DJI_0146, DJI_0147 |
+| `session_5` | 2023-01-21 | 24,106 | Giraffe, Plains and Grevy's zebras | DJI_0206, DJI_0208, DJI_0210, DJI_0211 |
+| **Total Frames:** | | **104,062** | | |
 
 This table shows the data collected at Mpala Research Center in Laikipia, Kenya, with session information, dates, frame counts, and primary species observed.
 
@@ -65,39 +66,212 @@ The dataset is intended for use in training and evaluating computer vision model
 ## Dataset Structure
 ```​
 /dataset/
-    <session_1>/
-        <classes.txt>
-        <video_id_frame 0>.jpg
-        <video_id_frame 0>.txt
-        <video_id_frame 1>.jpg
-        ...
-        <video_id_frame n>.jpg
-        <video_id_frame n>.txt
-    <session_2>/
-        <classes.txt>
-        ...
-    <session_3>/
-        <classes.txt>
-        ...
-    <session_4>/
-        <classes.txt>
-        ...
-    <session_5>
-        <classes.txt>
-        ...
-        <video_id_frame n>.jpg
-        <video_id_frame n>.txt
+    classes.txt
+    session_1/
+        DJI_0001/
+            partition_1/
+              DJI_0001_000000.jpg
+              DJI_0001_000001.txt
+              ...
+              DJI_0001_004999.txt
+            partition_2/
+              DJI_0001_005000.jpg
+              DJI_0001_005000.txt
+              ...
+              DJI_0001_008700.txt
+        DJI_0002/
+          DJI_0002_000000.jpg
+          DJI_0002_000001.txt
+          ...
+          DJI_0002_008721.txt
+        metadata.txt
+    session_2/
+        DJI_0005/
+          DJI_0005_001260.jpg
+          DJI_0005_001260.txt
+          ...
+          DJI_0005_008715.txt
+        DJI_0006/
+          partition_1/
+            DJI_0006_000000.jpg
+            DJI_0006_000001.txt
+            ...
+            DJI_0006_005351.txt
+          partition_2/
+            DJI_0006_005352.jpg
+            DJI_0006_005352.txt
+            ...
+            DJI_0006_008719.txt
+        metadata.txt
+    session_3/
+        DJI_0068/
+          DJI_0068_000780.jpg
+          DJI_0068_000780.txt
+          ...
+          DJI_0068_005790.txt
+        DJI_0069/
+          partition_1/
+            DJI_0069_000000.jpg
+            DJI_0069_000001.txt
+            ...
+            DJI_0069_004999.txt
+          partition_2/
+            DJI_0069_005000.jpg
+            DJI_0069_005000.txt
+            ...
+            DJI_0069_005815.txt
+        DJI_0070/
+          partition_1/
+            DJI_0070_000000.jpg
+            DJI_0070_000001.txt
+            ...
+            DJI_0069_004999.txt
+          partition_2/
+            DJI_0070_005000.jpg
+            DJI_0070_005000.txt
+            ...
+            DJI_0070_005812.txt
+        DJI_0071/
+          DJI_0071_000000.jpg
+          DJI_0071_000000.txt
+          ...
+          DJI_0071_001357.txt
+        metadata.txt
+    session_4/
+        DJI_0142/
+            partition_1/
+                DJI_0142_000000.jpg
+                DJI_0142_000000.txt
+                ...
+                DJI_0142_002999.txt
+            partition_2/
+                DJI_0142_003000.jpg
+                DJI_0142_003000.txt
+                ...
+                DJI_0142_005799.txt
+        DJI_0143/
+            partition_1/
+                DJI_0143_000000.jpg
+                DJI_0143_000000.txt
+                ...
+                DJI_0143_002999.txt
+            partition_2/
+                DJI_0143_003000.jpg
+                DJI_0143_003000.txt
+                ...
+                DJI_0143_005816.txt
+        DJI_0144/
+            partition_1/
+                DJI_0144_000000.jpg
+                DJI_0144_000000.txt
+                ...
+                DJI_0144_002999.txt
+            partition_2/
+                DJI_0144_003000.jpg
+                DJI_0144_003000.txt
+                ...
+                DJI_0144_005790.txt
+        DJI_0145/
+            partition_1/
+                DJI_0145_000000.jpg
+                DJI_0145_000000.txt
+                ...
+                DJI_0145_002999.txt
+            partition_2/
+                DJI_0145_003000.jpg
+                DJI_0145_003000.txt
+                ...
+                DJI_0145_005811.txt
+        DJI_0146/
+            partition_1/
+                DJI_0146_000000.jpg
+                DJI_0146_000000.txt
+                ...
+                DJI_0146_002999.txt
+            partition_2/
+                DJI_0146_003000.jpg
+                DJI_0146_003000.txt
+                ...
+                DJI_0146_005809.txt
+        DJI_0147/
+            partition_1/
+                DJI_0147_000000.jpg
+                DJI_0147_000000.txt
+                ...
+                DJI_0147_002999.txt
+            partition_2/
+                DJI_0147_003000.jpg
+                DJI_0147_003000.txt
+                ...
+                DJI_0147_005130.txt
+        metadata.txt
+    session_5/
+        DJI_0206/
+            partition_1/
+                DJI_0206_000000.jpg
+                DJI_0206_000000.txt
+                ...
+                DJI_0206_002499.txt
+            partition_2/
+                DJI_0206_002500.jpg
+                DJI_0206_002500.txt
+                ...
+                DJI_0206_004999.txt
+            partition_3/
+                DJI_0206_005000.jpg
+                DJI_0206_005000.txt
+                ...
+                DJI_0206_005802.txt
+        DJI_0208/
+            partition_1/
+                DJI_0208_000000.jpg
+                DJI_0208_000000.txt
+                ...
+                DJI_0208_002999.txt
+            partition_2/
+                DJI_0208_003000.jpg
+                DJI_0208_003000.txt
+                ...
+                DJI_0208_005810.txt
+        DJI_0210/
+            partition_1/
+                DJI_0210_000000.jpg
+                DJI_0210_000000.txt
+                ...
+                DJI_0210_002999.txt
+            partition_2/
+                DJI_0210_003000.jpg
+                DJI_0210_003000.txt
+                ...
+                DJI_0210_005811.txt
+        DJI_0211/
+            partition_1/
+                DJI_0211_000000.jpg
+                DJI_0211_000000.txt
+                ...
+                DJI_0211_002999.txt
+            partition_2/
+                DJI_0211_003000.jpg
+                DJI_0211_003000.txt
+                ...
+                DJI_0211_005809.txt
+        metadata.txt
+
 ```
 
 ### 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 COCO 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.
+
 
 ### Data Fields
 
 **classes.txt**:
-  - `0`: giraffe
-  - `1`: zebra
+  - `0`: zebra
+  - `1`: giraffe
+  - `2`: onager
+  - `3`: dog
 
 **frame_id.txt**:
   - `class`: Class of the object in the image (0 for zebra)
@@ -243,8 +417,10 @@ This dataset (the compilation) has been marked as dedicated to the public domain
   year={2024}
 }
 ```
+
+
 ```​
-article{kline2025wildwing,
+@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},
@@ -254,18 +430,6 @@ article{kline2025wildwing,
 }
 ```
 
-```​
-@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}, 
-}
-```
-
 
 
 ## Acknowledgements