Add 1 new BJJ samples - Version 1.2.0

README.md

@@ -3,22 +3,20 @@ license: mit
 task_categories:
 - image-classification
 - keypoint-detection
-- object-detection
 tags:
 - martial-arts
 - bjj
 - brazilian-jiu-jitsu
 - pose-detection
 - sports-analysis
-- keypoint-detection
 - submissions
 - grappling
 - computer-vision
 language:
 - en
 size_categories:
-- 1K<n<10K
-version: 1.1.0
+- n<1K
+version: 1.2.0
 ---
 
 # BJJ Positions & Submissions Dataset
@@ -34,7 +32,7 @@ This dataset contains pose keypoint annotations for Brazilian Jiu-Jitsu (BJJ) co
 - **Keypoint format**: MS-COCO (17 keypoints per person)
 - **Data format**: [x, y, confidence] for each keypoint
 - **Last updated**: 2025-07-21
-- **Version**: 1.1.0
+- **Version**: 1.2.0
 
 ### Supported Tasks
 
@@ -46,10 +44,10 @@ This dataset contains pose keypoint annotations for Brazilian Jiu-Jitsu (BJJ) co
 
 ## Recent Updates
 
-### Version 1.1.0 (2025-07-21)
-- Added new samples across various positions
-- Improved position coverage and diversity
-- Enhanced submission technique annotations
+### Version 1.2.0 (2025-07-21)
+- Added 1 total samples
+- Improved data structure for better compatibility
+- Enhanced position annotations
 
 ### Position Distribution
 
@@ -72,25 +70,15 @@ This dataset contains pose keypoint annotations for Brazilian Jiu-Jitsu (BJJ) co
 - `total_keypoints`: Total visible keypoints across both athletes
 - `date_added`: Date when sample was added to dataset
 
-### Position Classes
-
-The dataset includes the following BJJ positions and submissions:
-
-**Guard Positions:**
-- `open_guard1/2`: Open guard with athlete designation
-- `closed_guard1/2`: Closed guard with athlete designation  
-- `half_guard1/2`: Half guard with athlete designation
-- `50_50_guard`: Equal leg entanglement position
+### Keypoint Format
 
-**Top Control Positions:**
-- `mount1/2`: Mount position with athlete designation
-- `side_control1/2`: Side control with athlete designation
-- `back1/2`: Back control with athlete designation
-- `turtle1/2`: Turtle position with athlete designation
+Uses MS-COCO 17-keypoint format:
+0. nose, 1. left_eye, 2. right_eye, 3. left_ear, 4. right_ear
+5. left_shoulder, 6. right_shoulder, 7. left_elbow, 8. right_elbow
+9. left_wrist, 10. right_wrist, 11. left_hip, 12. right_hip
+13. left_knee, 14. right_knee, 15. left_ankle, 16. right_ankle
 
-**Neutral/Transition:**
-- `standing`: Standing position
-- `takedown1/2`: Takedown attempt with initiator designation
+Each keypoint: [x, y, confidence] where confidence 0.0-1.0
 
 ## Usage
 
@@ -104,7 +92,7 @@ dataset = load_dataset("carlosj934/BJJ_Positions_Submissions")
 sample = dataset['train'][0]
 print(f"Position: {sample['position']}")
 print(f"Number of people: {sample['num_people']}")
-print(f"Athlete 1 keypoints: {sample['pose1_keypoints']}")
+print(f"Athlete 1 keypoints: {len(sample['pose1_keypoints'])}")
 
 # Filter by specific positions
 guard_samples = dataset['train'].filter(lambda x: 'guard' in x['position'])
@@ -122,13 +110,6 @@ The dataset is continuously updated with new BJJ position and submission samples
 - **Coverage**: 1/18+ positions represented
 - **Focus**: High-quality pose annotations for training robust BJJ classifiers
 
-### Data Quality
-
-- All poses manually verified and labeled
-- Multiple camera angles per position
-- Diverse athlete body types and sizes
-- Clear, unobstructed pose visibility
-
 ## Applications
 
 This dataset can be used for:
@@ -148,7 +129,7 @@ If you use this dataset in your research, please cite:
   title={BJJ Positions and Submissions Dataset},
   author={Carlos J},
   year={2025},
-  version={1.1.0},
+  version={1.2.0},
   publisher={Hugging Face},
   url={https://huggingface.co/datasets/carlosj934/BJJ_Positions_Submissions}
 }
@@ -160,4 +141,4 @@ MIT License - See LICENSE file for details.
 
 ## Contact
 
-For questions or contributions, please reach out through the Hugging Face dataset page or open an issue in the associated repository.
+For questions or contributions, please reach out through the Hugging Face dataset page.

data-00000-of-00001.arrow

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2666e3cd35002869b11070a9d67dac56c29673a1d1fc99ee89ca23da33dd1ce2
-size 3176
+oid sha256:5f60dad2bd584d70e0c118c8492d231825296a0547e2f08b7aca5c350552d861
+size 3328

dataset_info.json

@@ -24,10 +24,8 @@
           "dtype": "float32",
           "_type": "Value"
         },
-        "length": 3,
         "_type": "List"
       },
-      "length": 17,
       "_type": "List"
     },
     "pose1_num_keypoints": {
@@ -40,10 +38,8 @@
           "dtype": "float32",
           "_type": "Value"
         },
-        "length": 3,
         "_type": "List"
       },
-      "length": 17,
       "_type": "List"
     },
     "pose2_num_keypoints": {

state.json

@@ -4,7 +4,7 @@
       "filename": "data-00000-of-00001.arrow"
     }
   ],
-  "_fingerprint": "f00451cd30b9b0f1",
+  "_fingerprint": "67ff4e686df11486",
   "_format_columns": null,
   "_format_kwargs": {},
   "_format_type": null,