Update README.md

README.md

@@ -29,7 +29,6 @@ size_categories:
 - 1M<n<10M
 language:
 - en
-viewer: false
 ---
 
 # Dataset Card for BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
@@ -45,58 +44,74 @@ BaboonLand is an aerial drone video dataset of wild olive baboons (*Papio anubis
 
 The dataset supports three core subtasks: detection, multi-object tracking, and behavior recognition. It includes (1) a detection dataset derived from ~5.3K-resolution frames via multi-scale tiling (≈30K images), (2) ~0.5 hours of dense tracking annotations, and (3) ~20 hours of behavior “mini-scenes” annotated into 12 behavior classes and additional category for occlusions.
 
-### Supported Tasks and Leaderboards
+### Download & Reconstruct
 
-#### Detection
-We evaluate YOLOv8-X model with input resolution of 768x768 on our dataset and report mAP@50, Precision, and Recall:
+BaboonLand is stored as split ZIP archives (`*.zip.part.*`) tracked with **Git LFS**. You can either download everything at once, or pull only a specific subset (Charades / Dataset / Tracking), then **concatenate parts**.
 
-| Model | mAP@50 | Precision | Recall |
-| --- | ---: | ---: | ---: |
-| YOLOv8-X | 92.62 | 93.70 | 87.60 |
+> **Integrity check:** Compare the printed `md5sum` values with the reference hashes in `BaboonLand/manifest.json`.
 
-#### Tracking
-We evaluate SORT, DeepSORT, StrongSORT, ByteTrack, and BotSort tracking algorithms on our dataset and report MOTA, MOTP, IDF1, Precision, and Recall:
+---
 
-| Tracker | MOTA | MOTP | IDF1 | Precision | Recall |
-| --- | ---: | ---: | ---: | ---: | ---: |
-| SORT | 84.76 | 50.15 | 77.43 | 90.83 | 91.19 |
-| DeepSORT | 84.40 | 87.22 | 81.38 | 90.26 | 91.57 |
-| StrongSORT | 82.48 | 85.37 | 84.98 | 88.00 | 90.10 |
-| ByteTrack | 63.55 | 34.10 | 77.01 | 96.32 | 64.90 |
-| BotSort | 63.81 | 34.31 | 78.24 | 97.21 | 66.16 |
+### Option A — Download everything (all parts)
 
-#### Behavior Classes:
-- Walking/Running
-- Sitting/Standing
-- Fighting/Playing
-- Self-Grooming
-- Being Groomed
-- Grooming Somebody
-- Mutual Grooming
-- Infant-Carrying
-- Foraging
-- Drinking
-- Mounting
-- Sleeping
-- Occluded
+```bash
+git clone https://huggingface.co/datasets/imageomics/BaboonLand
+cd BaboonLand
 
-#### Behavior Recognition
-We evaluate I3D, SlowFast, and X3D models on our dataset and report Micro-Average (Per Instance) and Macro-Average (Per Class) accuracy.
+cat BaboonLand/charades.zip.part.* > BaboonLand/charades.zip
+cat BaboonLand/dataset.zip.part.* > BaboonLand/dataset.zip
+cat BaboonLand/tracking.zip.part.* > BaboonLand/tracking.zip
 
-| Method | WI | Micro Top-1 | Micro Top-3 | Micro Top-5 | Macro Top-1 | Macro Top-3 | Macro Top-5 |
-| --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| I3D | Random | 61.29 | 89.38 | 92.34 | 26.53 | 54.51 | 65.47 |
-| SlowFast | Random | 61.71 | 90.35 | 93.11 | 27.08 | 56.73 | 67.61 |
-| X3D | Random | 63.97 | 91.34 | 95.17 | 30.04 | 60.58 | 72.13 |
-| X3D | K-400 | 64.89 | 92.54 | 96.66 | 31.41 | 62.04 | 74.01 |
+md5sum BaboonLand/charades.zip
+md5sum BaboonLand/dataset.zip
+md5sum BaboonLand/tracking.zip
 
-### Languages
+rm -rf BaboonLand/charades.zip.part.*
+rm -rf BaboonLand/dataset.zip.part.*
+rm -rf BaboonLand/tracking.zip.part.*
+```
 
-English
+---
 
-## Dataset Structure
+### Option B — Download only Charades part
 
-BaboonLand provides original videos, CVAT-formatted annotations, derived mini-scenes, and scripts to generate task-specific training formats (e.g., Ultralytics/YOLO and Charades for SlowFast).
+```bash
+GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/imageomics/BaboonLand
+cd BaboonLand
+
+git lfs pull --include="BaboonLand/charades.zip.part*"
+cat BaboonLand/charades.zip.part.* > BaboonLand/charades.zip
+md5sum BaboonLand/charades.zip
+rm -rf BaboonLand/charades.zip.part.*
+```
+
+---
+
+### Option C — Download only Dataset part
+
+```bash
+GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/imageomics/BaboonLand
+cd BaboonLand
+
+git lfs pull --include="BaboonLand/dataset.zip.part*"
+cat BaboonLand/dataset.zip.part.* > BaboonLand/dataset.zip
+md5sum BaboonLand/dataset.zip
+rm -rf BaboonLand/dataset.zip.part.*
+```
+
+---
+
+### Option D — Download only Tracking part
+
+```bash
+GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/imageomics/BaboonLand
+cd BaboonLand
+
+git lfs pull --include="BaboonLand/tracking.zip.part*"
+cat BaboonLand/tracking.zip.part.* > BaboonLand/tracking.zip
+md5sum BaboonLand/tracking.zip
+rm -rf BaboonLand/tracking.zip.part.*
+```
 
 ### Directory Layout
 
@@ -142,6 +157,59 @@ BaboonLand
     /README.md
 ```
 
+### Supported Tasks and Leaderboards
+
+#### Detection
+We evaluate YOLOv8-X model with input resolution of 768x768 on our dataset and report mAP@50, Precision, and Recall:
+
+| Model | mAP@50 | Precision | Recall |
+| --- | ---: | ---: | ---: |
+| YOLOv8-X | 92.62 | 93.70 | 87.60 |
+
+#### Tracking
+We evaluate SORT, DeepSORT, StrongSORT, ByteTrack, and BotSort tracking algorithms on our dataset and report MOTA, MOTP, IDF1, Precision, and Recall:
+
+| Tracker | MOTA | MOTP | IDF1 | Precision | Recall |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| SORT | 84.76 | 50.15 | 77.43 | 90.83 | 91.19 |
+| DeepSORT | 84.40 | 87.22 | 81.38 | 90.26 | 91.57 |
+| StrongSORT | 82.48 | 85.37 | 84.98 | 88.00 | 90.10 |
+| ByteTrack | 63.55 | 34.10 | 77.01 | 96.32 | 64.90 |
+| BotSort | 63.81 | 34.31 | 78.24 | 97.21 | 66.16 |
+
+#### Behavior Classes:
+- Walking/Running
+- Sitting/Standing
+- Fighting/Playing
+- Self-Grooming
+- Being Groomed
+- Grooming Somebody
+- Mutual Grooming
+- Infant-Carrying
+- Foraging
+- Drinking
+- Mounting
+- Sleeping
+- Occluded
+
+#### Behavior Recognition
+We evaluate I3D, SlowFast, and X3D models on our dataset and report Micro-Average (Per Instance) and Macro-Average (Per Class) accuracy.
+
+| Method | WI | Micro Top-1 | Micro Top-3 | Micro Top-5 | Macro Top-1 | Macro Top-3 | Macro Top-5 |
+| --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| I3D | Random | 61.29 | 89.38 | 92.34 | 26.53 | 54.51 | 65.47 |
+| SlowFast | Random | 61.71 | 90.35 | 93.11 | 27.08 | 56.73 | 67.61 |
+| X3D | Random | 63.97 | 91.34 | 95.17 | 30.04 | 60.58 | 72.13 |
+| X3D | K-400 | 64.89 | 92.54 | 96.66 | 31.41 | 62.04 | 74.01 |
+
+### Languages
+
+English
+
+## Dataset Structure
+
+BaboonLand provides original videos, CVAT-formatted annotations, derived mini-scenes, and scripts to generate task-specific training formats (e.g., Ultralytics/YOLO and Charades for SlowFast).
+
 ### Data Instances
 Each `dataset/video_k/` directory contains: