umamas09 created a dataset of 12,357 Mediapipe Holistic sequences for 118 American Sign Language signs related to primary school mathematics and classroom communication. The dataset was last updated on 2025-11-22. It is designed for developing real-time mobile applications and educational tools for deaf children.
Use Cases
- Train real-time sign language recognition models for mobile apps based on the 12,357 Mediapipe Holistic sequences.
- Develop classroom translation tools for deaf students based on the 118 essential mathematics and classroom signs.
- Create educational technology for primary school mathematics instruction based on signs for numbers and operations like 'plus', 'minus', 'multiply', and 'divide'.
- Build interactive learning aids for deaf children based on signs for classroom objects like 'book', 'paper', and 'pencil'.
Strengths
- Contains 12,357 clean Mediapipe Holistic sequences.
- Focuses on 118 essential signs for primary school mathematics and classroom communication.
- Includes ready-to-train splits for machine learning.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Freshness should be verified as the last update was 2025-11-22.
Provenance
- Source
- huggingface
- Freshness
- Last updated 2025-11-22 18:00:24.