datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
paleo-hebrew-seals-synthetic
PaleoHebrew-Seals Synthetic Corpus
This repository hosts the synthetic corpus part of PaleoHebrew-Seals, a dataset suite for multimodal recognition of Paleo-Hebrew seal inscriptions.
Why this dataset is needed
Annotated real Paleo-Hebrew seal photographs are scarce. The synthetic corpus is designed to provide large-scale supervision for training and augmentation while preserving explicit structure at the character level.
Overview
The corpus contains… See the full description on the dataset page: https://huggingface.co/datasets/mr3vial/paleo-hebrew-seals-synthetic.paleo-hebrew-seals-unambiguous
PaleoHebrew-Seals Real Benchmark (Unambiguous Subset)
This repository hosts the real benchmark part of PaleoHebrew-Seals, a dataset suite for multimodal recognition of Paleo-Hebrew seal inscriptions from photographs.
Why this dataset is needed
Paleo-Hebrew seal inscriptions are difficult for standard OCR systems: the signs are sparse, shallow, frequently worn, and embedded in irregular seal impressions captured under uncontrolled lighting and viewpoint changes.… See the full description on the dataset page: https://huggingface.co/datasets/mr3vial/paleo-hebrew-seals-unambiguous.8414_Cerebral_Palsy_v1.0
Synthetic ROCS Dataset (8,414 Patients)
Overview
This dataset is a fully synthetic reproduction of the patient cohort described in A Big Data Approach to Evaluate Receipt of Optimal Care in Childhood Cerebral Palsy.
It simulates the Receipt of Optimal Care Score (ROCS) framework across 8,414 synthetic patients, modeling event sequences, adherence probabilities, and component-level quality-of-care scores.
All data were algorithmically generated — no real patient data are… See the full description on the dataset page: https://huggingface.co/datasets/DBbun/8414_Cerebral_Palsy_v1.0.100K_Cerebral_Palsy_v1.0
Synthetic ROCS Dataset (100K Patients)
Overview
This dataset is a fully synthetic reproduction of the patient cohort described in A Big Data Approach to Evaluate Receipt of Optimal Care in Childhood Cerebral Palsy.
It simulates the Receipt of Optimal Care Score (ROCS) framework across 100K synthetic patients, modeling event sequences, adherence probabilities, and component-level quality-of-care scores.
All data were algorithmically generated — no real patient data are… See the full description on the dataset page: https://huggingface.co/datasets/DBbun/100K_Cerebral_Palsy_v1.0.