christian-bick/edugraph-exercises
EduGraph Exercises Dataset EduGraph Exercises is a synthetic ML dataset of math-related visual problems, precisely labeled for training AI models in the education sector. Every image in this dataset is programmatically generated using the EduGraph Ontology to ensure that visual features are mathematically bound to their pedagogical labels. Quick Links Generation Engine: GitHub Repository (Contribute new generators or views!) Ontology: EduGraph Ontology (Semantic… See the full description on the dataset page: https://huggingface.co/datasets/christian-bick/edugraph-exercises.
| Author / organization | christian-bick |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 756 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 15 June 2026 |
| Last updated at source | 29 September 2026 |
Popularity, last 3 days
756 now (+10 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- christian-bick/EduGraph-Classifier-Qwen3.8-27B-GGUFModel · used to train
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.