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license: cc-by-4.0
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---
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license: cc-by-4.0
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dataset_info:
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features:
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- name: data
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dtype: float32
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shape: [null, 2, 135] # variable length sequences
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- name: label
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dtype: int64
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description: "0–117 (see MathClassroom_ASL_labels.json)"
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splits:
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train: 9,843
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validation: 1,227
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test: 1,287
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---
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# PrimaryMath-Classroom-ASL-118
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**The first public ASL keypoint dataset designed specifically for primary-school mathematics & classroom communication**
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**118 essential signs** • 12,357 clean Mediapipe Holistic sequences • Ready-to-train splits
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Perfect for real-time mobile apps, classroom translation tools, and educational technology for deaf children.
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### Included signs (examples)
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`zero–twenty`, `thirty`, `forty`, `fifty`, `hundred`, `plus`, `minus`, `equal`, `multiply`, `divide`, `book`, `paper`, `pencil`, `teacher`, `student`, `hello`, `yes`, `no`, `help`, `again`, `please`, `thank you`, `sorry`, `red`, `blue`, `green`, `circle`, `square`, `triangle`, `school`, `how many`, `more`, `less`, `count`, `good`, `table`, `chair`, `listen`, `look`, `stand up`, `sit down`, ...
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### Stats
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| Split | Samples |
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|-------------|---------|
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| Train | 9,843 |
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| Validation | 1,227 |
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| Test | 1,287 |
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Keypoints: Mediapipe Holistic (135 landmarks × 2 coordinates)
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### Citation (original sources — MUST CITE)
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```bibtex
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@inproceedings{lazo2025wholebodypose,
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title={WholeBodyPose: A Unified End-to-End Framework for Sign Language Recognition and Pose-Based Training Data},
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author={Lazo-Quispe, Cristian and Castro-Cruz, Renato and Salazar-Espinosa, Mauricio and Bejarano, Gissella},
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booktitle={International Conference on Machine Vision (ICMV)},
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year={2025},
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organization={SPIE}
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}
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Also based on WLASL, MSASL, and ASLCitizen datasets.
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Curated by
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Umama Saif — Final Year Project 2025
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Made with love for deaf education and accessibility ❤️
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Feel free to use, improve, and deploy in real classrooms!
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