""" Hugging Face Dataset Loading Script for African Medical Multimodal Dataset """ import json import os from pathlib import Path import datasets from datasets import DatasetBuilder, DatasetInfo, Features, Value, SplitGenerator, DownloadManager class AfricanMedicalMultimodalConfig(datasets.BuilderConfig): """BuilderConfig for African Medical Multimodal Dataset.""" def __init__(self, **kwargs): """BuilderConfig for African Medical Multimodal Dataset. Args: **kwargs: keyword arguments forwarded to super. """ super(AfricanMedicalMultimodalConfig, self).__init__(**kwargs) class AfricanMedicalMultimodal(DatasetBuilder): """African Medical Multimodal Bone Fracture Dataset.""" BUILDER_CONFIGS = [ AfricanMedicalMultimodalConfig( name="default", version=datasets.Version("1.0.0"), description="African Medical Multimodal Bone Fracture Dataset with X-ray images and comprehensive multimodal data for African healthcare contexts.", ), ] def _info(self): features = Features({ "record_id": Value("string"), "patient_id": Value("string"), "image_path": Value("string"), "fracture_type": Value("string"), "demographics": { "age": Value("int32"), "gender": Value("string"), "country": Value("string"), "region_type": Value("string"), "occupation": Value("string"), "education_level": Value("string"), "primary_language": Value("string"), "secondary_language": Value("string"), }, "clinical_text": { "chief_complaint": { "text": Value("string"), "language": Value("string"), "cultural_expressions": [Value("string")], }, "patient_history": { "text": Value("string"), "language": Value("string"), }, "clinical_notes": { "text": Value("string"), "language": Value("string"), }, }, "clinical_measurements": { "heart_rate": Value("int32"), "blood_pressure_systolic": Value("int32"), "blood_pressure_diastolic": Value("int32"), "temperature": Value("float32"), "height": Value("float32"), "weight": Value("float32"), "pain_scale": Value("int32"), }, "environmental_context": { "season": Value("string"), "injury_time": Value("string"), "weather_conditions": Value("string"), "geographic_hazards": [Value("string")], "transport_time_hours": Value("float32"), }, "mobile_health": { "phone_type": Value("string"), "digital_literacy": Value("string"), "follow_up_preference": Value("string"), "gps_latitude": Value("float32"), "gps_longitude": Value("float32"), } }) return DatasetInfo( description="African Medical Multimodal Bone Fracture Dataset with 1,129 X-ray images and comprehensive multimodal data for African healthcare contexts.", features=features, homepage="https://huggingface.co/datasets/electricsheepafrica/african-medical-multimodal-fracture", license="cc-by-4.0", citation="", ) def _split_generators(self, dl_manager: DownloadManager): """Returns SplitGenerators.""" # Load data splits splits_path = "data/data_splits.json" with open(splits_path, 'r') as f: splits_data = json.load(f) # Load multimodal records records_path = "data/multimodal_records.json" with open(records_path, 'r', encoding='utf-8') as f: all_records = json.load(f) return [ SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={ "records": all_records, "indices": splits_data["train"]["indices"], }, ), SplitGenerator( name=datasets.Split.VALIDATION, gen_kwargs={ "records": all_records, "indices": splits_data["validation"]["indices"], }, ), SplitGenerator( name=datasets.Split.TEST, gen_kwargs={ "records": all_records, "indices": splits_data["test"]["indices"], }, ), ] def _generate_examples(self, records, indices): """Yields examples.""" for idx in indices: if idx < len(records): record = records[idx] yield idx, { "record_id": record.get("record_id", ""), "patient_id": record.get("patient_id", ""), "image_path": record.get("image_path", ""), "fracture_type": record.get("fracture_type", ""), "demographics": { "age": record.get("demographics", {}).get("age", 0), "gender": record.get("demographics", {}).get("gender", ""), "country": record.get("demographics", {}).get("country", ""), "region_type": record.get("demographics", {}).get("region_type", ""), "occupation": record.get("demographics", {}).get("occupation", ""), "education_level": record.get("demographics", {}).get("education_level", ""), "primary_language": record.get("demographics", {}).get("primary_language", ""), "secondary_language": record.get("demographics", {}).get("secondary_language", ""), }, "clinical_text": { "chief_complaint": { "text": record.get("clinical_text", {}).get("chief_complaint", {}).get("text", ""), "language": record.get("clinical_text", {}).get("chief_complaint", {}).get("language", ""), "cultural_expressions": record.get("clinical_text", {}).get("chief_complaint", {}).get("cultural_expressions", []), }, "patient_history": { "text": record.get("clinical_text", {}).get("patient_history", {}).get("text", ""), "language": record.get("clinical_text", {}).get("patient_history", {}).get("language", ""), }, "clinical_notes": { "text": record.get("clinical_text", {}).get("clinical_notes", {}).get("text", ""), "language": record.get("clinical_text", {}).get("clinical_notes", {}).get("language", ""), }, }, "clinical_measurements": { "heart_rate": record.get("clinical_measurements", {}).get("heart_rate", 0), "blood_pressure_systolic": record.get("clinical_measurements", {}).get("blood_pressure_systolic", 0), "blood_pressure_diastolic": record.get("clinical_measurements", {}).get("blood_pressure_diastolic", 0), "temperature": record.get("clinical_measurements", {}).get("temperature", 0.0), "height": record.get("clinical_measurements", {}).get("height", 0.0), "weight": record.get("clinical_measurements", {}).get("weight", 0.0), "pain_scale": record.get("clinical_measurements", {}).get("pain_scale", 0), }, "environmental_context": { "season": record.get("environmental_context", {}).get("season", ""), "injury_time": record.get("environmental_context", {}).get("injury_time", ""), "weather_conditions": record.get("environmental_context", {}).get("weather_conditions", ""), "geographic_hazards": record.get("environmental_context", {}).get("geographic_hazards", []), "transport_time_hours": record.get("environmental_context", {}).get("transport_time_hours", 0.0), }, "mobile_health": { "phone_type": record.get("mobile_health", {}).get("phone_type", ""), "digital_literacy": record.get("mobile_health", {}).get("digital_literacy", ""), "follow_up_preference": record.get("mobile_health", {}).get("follow_up_preference", ""), "gps_latitude": record.get("mobile_health", {}).get("gps_latitude", 0.0), "gps_longitude": record.get("mobile_health", {}).get("gps_longitude", 0.0), } }