{ "$schema": "http://json-schema.org/draft/2020-12/schema", "$id": "https://docs.ai4os.eu/projects/ai4-metadata/latest/_static/schemata/ai4-apps-v2.1.0.json", "type": "object", "properties": { "metadata_version": { "description": "Version of the metadata schema.", "pattern": "^[0-9]{1,}.[0-9]{1,}.[0-9]{1,}$", "example": "2.1.0", "type": "string" }, "title": { "description": "Name of the Data Science application.", "type": "string", "user_friendly": "Title", "example": "Deep Learning Model for Metadata Classification" }, "summary": { "description": "Short text describing the value of the Data Science application.", "type": "string", "user_friendly": "Summary", "example": "This model classifies metadata using deep learning techniques." }, "description": { "description": "Elaborated description of the Data Science application.", "type": "string", "user_friendly": "Description", "example": "This model uses a deep learning architecture to classify metadata into different categories. The model is trained on a dataset of 10,000 metadata entries and achieves an accuracy of 90%." }, "doi" : { "description": "DOI of the Data Science application.", "type": "string", "format": "doi", "user_friendly": "Digital Object Identifier", "example": "10.5281/zenodo.1234567" }, "links": { "title": "links", "type": "object", "properties": { "documentation": { "description": "URL pointing to the relevant documentation.", "type": "string", "format": "uri", "user_friendly": "Documentation URL", "example": "https://example.org/docs" }, "source_code": { "description": "URL pointing to the relevant source code.", "type": "string", "format": "uri", "user_friendly": "Source Code URL", "example": "https://example.org/code" }, "docker_image": { "description": "URL pointing to the relevant Docker image.", "type": "string", "format": "uri", "user_friendly": "Docker Image URL", "example": "https://example.org/docker" }, "zenodo_doi": { "description": "DOI of the Zenodo record.", "type": "string", "format": "uri", "user_friendly": "Link to Zenodo DOI", "example": "https://doi.org/10.5281/zenodo.1234567" }, "dataset": { "description": "URL pointing to the relevant training dataset.", "type": "string", "format": "uri", "user_friendly": "Traning Dataset URL", "example": "https://example.org/dataset" }, "weights": { "description": "URL of file containing weights from training", "type": "string", "format": "uri", "user_friendly": "Weights URL", "example": "https://example.org/weights" }, "citation": { "description": "URL pointing to the relevant citation. Please use a Citation File Format (CFF) if possible.", "type": "string", "format": "uri", "user_friendly": "Citation URL", "example": "https://example.org/citation.cff" }, "base_model": { "description": "URL pointing to a base model if this model is a fine-tune, adaptation, etc. of another one.", "type": "string", "format": "uri", "user_friendly": "Base Model URL", "example": "https://example.org/base_model" } }, "required": [ "source_code" ] }, "dates": { "title": "dates", "type": "object", "properties": { "created": { "description": "Creation date of the Data Science application.", "type": "string", "format": "date", "user_friendly": "Creation Date", "example": "2022-01-01" }, "updated": { "description": "Last update date of the Data Science application.", "type": "string", "format": "date", "user_friendly": "Last Update Date", "example": "2024-12-31" } }, "required": [ "created", "updated" ] }, "libraries": { "description": "Libraries used in the Data Science application.", "type": "array", "uniqueItems": true, "items": { "type": "string", "enum": [ "TensorFlow", "PyTorch", "Keras", "Scikit-learn", "XGBoost", "LightGBM", "CatBoost", "Other" ] }, "user_friendly": "Libraries used", "example": ["TensorFlow", "PyTorch"] }, "tasks": { "description": "Topic/s for the tasks that categorize the Data Science application.", "type": "array", "uniqueItems": true, "items": { "type": "string", "enum": [ "Computer Vision", "Natural Language Processing", "Time Series", "Recommender Systems", "Anomaly Detection", "Regression", "Classification", "Clustering", "Dimensionality Reduction", "Generative Models", "Graph Neural Networks", "Optimization", "Reinforcement Learning", "Transfer Learning", "Uncertainty Estimation", "Other" ] }, "user_friendly": "Model Tasks", "example": ["Computer Vision", "Natural Language Processing"] }, "categories": { "description": "Platform categories for the tasks that categorize the Data Science application.", "type": "array", "uniqueItems": true, "items": { "type": "string", "enum": [ "AI4 pre trained", "AI4 trainable", "AI4 inference", "AI4 tools" ] }, "user_friendly": "AI4 Platform Categories", "example": ["AI4 pre trained", "AI4 trainable"] }, "tags": { "description": "User provided tags to best describe the Data Science application.", "type": "array", "uniqueItems": true, "items": { "type": "string" }, "user_friendly": "Tags", "example": ["Deep Learning", "Metadata Classification"] }, "data-type": { "description": "Data type used in the Data Science application.", "type": "array", "uniqueItems": true, "items": { "type": "string", "enum": [ "Image", "Text", "Time Series", "Tabular", "Graph", "Audio", "Video", "Other" ] }, "user_friendly": "Data Type", "example": ["Text"] }, "resources": { "description": "Resources (CPU, GPU, storage) needed for the application.", "type": "object", "properties": { "inference": { "description": "Minimum / recommended resources needed for inference.", "type": "object", "properties": { "cpu": { "description": "Number of CPUs needed for inference.", "user_friendly": "Number of CPUs", "type": "integer", "minimum": 0, "example": 1 }, "gpu": { "description": "Number of GPUs needed for inference.", "user_friendly": "Number of GPUs", "type": "integer", "minimum": 0, "example": 1 }, "memory_MB": { "description": "Memory needed for inference (in MB).", "user_friendly": "Memory RAM", "type": "integer", "minimum": 0, "example": 8000 }, "gpu_memory_MB": { "description": "GPU memory needed for inference (in MB).", "user_friendly": "GPU Memory", "type": "integer", "minimum": 0, "example": 8000 }, "gpu_compute_capability": { "description": "GPU compute capability needed for inference. Check https://developer.nvidia.com/cuda-gpus", "user_friendly": "GPU Compute Capability", "type": "number", "minimum": 0, "example": 6.1 }, "storage_MB": { "description": "Storage needed for inference (in MB).", "user_friendly": "Storage", "type": "integer", "minimum": 0, "example": 10000 } } } } } }, "required": [ "metadata_version", "title", "summary", "description", "links", "libraries", "tasks", "categories", "tags" ], "not": { "anyOf": [ { "required": ["tosca"] }, { "required": ["sources"] }, { "required": ["dataset_url"] }, { "required": ["cite_url"] }, { "required": ["date_creation"] }, { "required": ["keywords"] } ] } }