A-Alpha Bio · Schema

DatasetItem

A single dataset item.

protein-interactionsbiotechnologydrug-discoveryantibody-engineeringsynthetic-biologymachine-learningtraining-datadata-licensinglife-sciencesdatasetsprotein-designbioinformatics

Properties

Name Type Description
id string Dataset identifier
name string Display name of the dataset
experiment string Brief description of the experiment
details string Detailed description with bullet points
modes array Available data modes for this dataset
release_date string Release date of the dataset
version string Current version of the dataset
status string Workflow status of this dataset version (draft, pending_review, published, retracted). Non-published statuses are only ever returned to admins previewing with drafts included.
locked boolean Whether the dataset is locked (user has no access to data)
coming_soon boolean Whether the dataset is an upcoming release shown as a teaser. When true the metadata is visible but the data is not yet available to anyone; the card is always locked.
url object URL to the dataset page in the web portal
structure_count integer Number of structure files (.cif) available in the structures directory
tasks array List of task types for this dataset
binder object Binder type for this dataset
target array List of target types for this dataset
product string Product slug for this dataset
product_display_name string Human-readable product name
product_kind object Category of the dataset's product
source object Product release name (for datasets in a named product release)
a_size object Number of A (binder) sequences in the dataset
alpha_size object Number of Alpha (target) sequences in the dataset
total_ppi_count object Total number of protein-protein interactions measured
unique_ppi_count object Number of unique protein-protein interactions
density object Fraction of (a_size * alpha_size) grid actually observed
tags array List of tags for this dataset
has_tutorial boolean Whether this dataset has a Jupyter notebook tutorial available
View JSON Schema on GitHub

JSON Schema

a-alpha-bio-dataset-item.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/a-alpha-bio/refs/heads/main/json-schema/a-alpha-bio-dataset-item.json",
  "title": "DatasetItem",
  "description": "A single dataset item.",
  "x-generated": "2026-08-06",
  "x-method": "derived",
  "x-source": "openapi/a-alpha-bio-atlas-data-product-openapi-original.json#/components/schemas/DatasetItem",
  "properties": {
    "id": {
      "type": "string",
      "title": "Id",
      "description": "Dataset identifier",
      "examples": [
        "ab1001"
      ]
    },
    "name": {
      "type": "string",
      "title": "Name",
      "description": "Display name of the dataset",
      "examples": [
        "AlphaBlock 1001"
      ]
    },
    "experiment": {
      "type": "string",
      "title": "Experiment",
      "description": "Brief description of the experiment",
      "examples": [
        "This dataset explores the local affinity landscape..."
      ]
    },
    "details": {
      "type": "string",
      "title": "Details",
      "description": "Detailed description with bullet points",
      "examples": [
        "* Paratope coverage: >600 mutations..."
      ]
    },
    "modes": {
      "items": {
        "$ref": "#/$defs/DataMode"
      },
      "type": "array",
      "title": "Modes",
      "description": "Available data modes for this dataset",
      "examples": [
        [
          {
            "file_type": "csv.gz",
            "name": "source"
          },
          {
            "file_type": "csv.gz",
            "name": "ml"
          }
        ]
      ]
    },
    "release_date": {
      "type": "string",
      "title": "Release Date",
      "description": "Release date of the dataset",
      "examples": [
        "2024-01-15"
      ]
    },
    "version": {
      "type": "string",
      "title": "Version",
      "description": "Current version of the dataset",
      "examples": [
        "1"
      ]
    },
    "status": {
      "type": "string",
      "title": "Status",
      "description": "Workflow status of this dataset version (draft, pending_review, published, retracted). Non-published statuses are only ever returned to admins previewing with drafts included.",
      "default": "published",
      "examples": [
        "published",
        "draft"
      ]
    },
    "locked": {
      "type": "boolean",
      "title": "Locked",
      "description": "Whether the dataset is locked (user has no access to data)",
      "default": true,
      "examples": [
        false
      ]
    },
    "coming_soon": {
      "type": "boolean",
      "title": "Coming Soon",
      "description": "Whether the dataset is an upcoming release shown as a teaser. When true the metadata is visible but the data is not yet available to anyone; the card is always locked.",
      "default": false,
      "examples": [
        false
      ]
    },
    "url": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Url",
      "description": "URL to the dataset page in the web portal",
      "examples": [
        "https://data.aalphabio.tools/dataset/ab1001"
      ]
    },
    "structure_count": {
      "type": "integer",
      "title": "Structure Count",
      "description": "Number of structure files (.cif) available in the structures directory",
      "default": 0,
      "examples": [
        74973
      ]
    },
    "tasks": {
      "items": {
        "type": "string"
      },
      "type": "array",
      "title": "Tasks",
      "description": "List of task types for this dataset",
      "examples": [
        [
          "optimization",
          "design"
        ]
      ]
    },
    "binder": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Binder",
      "description": "Binder type for this dataset",
      "examples": [
        "VHH"
      ]
    },
    "target": {
      "items": {
        "type": "string"
      },
      "type": "array",
      "title": "Target",
      "description": "List of target types for this dataset",
      "examples": [
        [
          "viral",
          "COVID"
        ]
      ]
    },
    "product": {
      "type": "string",
      "title": "Product",
      "description": "Product slug for this dataset",
      "examples": [
        "atlas-vhh",
        "exclusive",
        "open-source"
      ]
    },
    "product_display_name": {
      "type": "string",
      "title": "Product Display Name",
      "description": "Human-readable product name",
      "examples": [
        "Atlas VHH Consortia",
        "Exclusive",
        "Open Source"
      ]
    },
    "product_kind": {
      "$ref": "#/$defs/ProductKind",
      "description": "Category of the dataset's product",
      "examples": [
        "consortium",
        "exclusive",
        "open-source"
      ]
    },
    "source": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Source",
      "description": "Product release name (for datasets in a named product release)",
      "examples": [
        "VHH Q1 2025"
      ]
    },
    "a_size": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "A Size",
      "description": "Number of A (binder) sequences in the dataset",
      "examples": [
        500
      ]
    },
    "alpha_size": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Alpha Size",
      "description": "Number of Alpha (target) sequences in the dataset",
      "examples": [
        200
      ]
    },
    "total_ppi_count": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Total Ppi Count",
      "description": "Total number of protein-protein interactions measured",
      "examples": [
        100000
      ]
    },
    "unique_ppi_count": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Unique Ppi Count",
      "description": "Number of unique protein-protein interactions",
      "examples": [
        50000
      ]
    },
    "density": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Density",
      "description": "Fraction of (a_size * alpha_size) grid actually observed",
      "examples": [
        0.52
      ]
    },
    "tags": {
      "items": {
        "type": "string"
      },
      "type": "array",
      "title": "Tags",
      "description": "List of tags for this dataset",
      "examples": [
        [
          "dSSM",
          "optimization"
        ]
      ]
    },
    "has_tutorial": {
      "type": "boolean",
      "title": "Has Tutorial",
      "description": "Whether this dataset has a Jupyter notebook tutorial available",
      "default": false,
      "examples": [
        true
      ]
    }
  },
  "type": "object",
  "required": [
    "id",
    "name",
    "experiment",
    "details",
    "modes",
    "release_date",
    "version",
    "product",
    "product_display_name",
    "product_kind"
  ],
  "$defs": {
    "DataMode": {
      "properties": {
        "name": {
          "type": "string",
          "title": "Name",
          "description": "Mode name",
          "examples": [
            "source",
            "ml"
          ]
        },
        "file_type": {
          "type": "string",
          "title": "File Type",
          "description": "File type (csv or csv.gz)",
          "examples": [
            "csv.gz"
          ]
        }
      },
      "type": "object",
      "required": [
        "name",
        "file_type"
      ],
      "title": "DataMode",
      "description": "A data mode available for a dataset."
    },
    "ProductKind": {
      "type": "string",
      "enum": [
        "consortium",
        "exclusive",
        "licensable",
        "open-source"
      ],
      "title": "ProductKind",
      "description": "Category that a `product_types` row belongs to.\n\nStored on `ProductTypeEnum.kind`. Drives access control:\n\n- `open-source` bypasses license and subscription checks.\n- `consortium` gates access behind a `ProductSubscription` scoped to\n  the product (with `product_release.release_date` as the subscriber\n  gate); per-block `dataset_licenses` rows grant perpetual access.\n- `licensable` has no subscription path; access requires a\n  `dataset_licenses` row. Any number of companies can be licensed.\n- `exclusive` has no subscription path AND restricts licensing to a\n  single company — the dataset's `designer`. Exclusive blocks are\n  also always hidden from non-licensees (the\n  `metadata_visible_to_public` flag is ignored)."
    }
  }
}