Coactive · Schema

DatasetResponse

CompanyArtificial IntelligenceMultimodal AIComputer VisionVideo IntelligenceImage SearchContent IntelligenceSemantic SearchContextual AdvertisingMetadataMachine LearningMedia

Properties

Name Type Description
created_dt string The created datetime of the resource in ISO 8601 format.
updated_dt stringnull The datetime the resource was last updated in ISO 8601 format.
created_by string ID of the user who added the asset to the dataset.
updated_by stringnull ID of the user who last updated the asset.
deleted_dt stringnull Timestamp if the resource was deleted.
deleted_by stringnull ID of the user who deleted the resource.
id string The unique identifier for the dataset.
name string Name of the dataset, must be unique per organization and must only contain alphanumeric and underscore characters.
embeddings array The encoders of the dataset.
encoders array The encoders of the dataset.
description stringnull A short summary of what the dataset includes or is intended for.
allowed_asset_types array Types of assets allowed in this dataset.
status object The status of the dataset.
keyframe_sampling_method object Sampling method to extract keyframes from videos in dataset.
keyframe_uniform_fps_sampling_rate numbernull FPS rate used for uniform sampling.
store_original boolean Whether the original file is stored.
store_preview boolean Whether preview files are stored.
metadata_fields_to_index arraynull The metadata fields to index for the dataset.
metadata_fields_to_embed arraynull The metadata fields to embed for the dataset.
dataset_config object
View JSON Schema on GitHub

JSON Schema

coactive-datasets-dataset-response-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/coactive/main/json-schema/coactive-datasets-dataset-response-schema.json",
  "title": "DatasetResponse",
  "x-generated": "2026-10-20",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/coactive-datasets-dataset-api-openapi.yml#/components/schemas/datasets_DatasetResponse",
  "type": "object",
  "properties": {
    "created_dt": {
      "type": "string",
      "format": "date-time",
      "description": "The created datetime of the resource in ISO 8601 format."
    },
    "updated_dt": {
      "type": [
        "string",
        "null"
      ],
      "format": "date-time",
      "description": "The datetime the resource was last updated in ISO 8601 format."
    },
    "created_by": {
      "type": "string",
      "description": "ID of the user who added the asset to the dataset."
    },
    "updated_by": {
      "type": [
        "string",
        "null"
      ],
      "description": "ID of the user who last updated the asset."
    },
    "deleted_dt": {
      "type": [
        "string",
        "null"
      ],
      "format": "date-time",
      "description": "Timestamp if the resource was deleted."
    },
    "deleted_by": {
      "type": [
        "string",
        "null"
      ],
      "description": "ID of the user who deleted the resource."
    },
    "id": {
      "type": "string",
      "format": "uuid",
      "description": "The unique identifier for the dataset."
    },
    "name": {
      "type": "string",
      "description": "Name of the dataset, must be unique per organization and must only contain alphanumeric and underscore characters."
    },
    "embeddings": {
      "type": "array",
      "items": {
        "$ref": "#/$defs/datasets_Encoder"
      },
      "description": "The encoders of the dataset."
    },
    "encoders": {
      "type": "array",
      "items": {
        "$ref": "#/$defs/datasets_Encoder"
      },
      "description": "The encoders of the dataset."
    },
    "description": {
      "type": [
        "string",
        "null"
      ],
      "description": "A short summary of what the dataset includes or is intended for."
    },
    "allowed_asset_types": {
      "type": "array",
      "items": {
        "$ref": "#/$defs/datasets_AssetTypeEnum"
      },
      "description": "Types of assets allowed in this dataset."
    },
    "status": {
      "oneOf": [
        {
          "$ref": "#/$defs/datasets_DatasetStatusEnum"
        },
        {
          "type": "null"
        }
      ],
      "description": "The status of the dataset."
    },
    "keyframe_sampling_method": {
      "$ref": "#/$defs/datasets_KeyframeSamplingMethodEnum",
      "description": "Sampling method to extract keyframes from videos in dataset."
    },
    "keyframe_uniform_fps_sampling_rate": {
      "type": [
        "number",
        "null"
      ],
      "format": "double",
      "description": "FPS rate used for uniform sampling."
    },
    "store_original": {
      "type": "boolean",
      "description": "Whether the original file is stored."
    },
    "store_preview": {
      "type": "boolean",
      "description": "Whether preview files are stored."
    },
    "metadata_fields_to_index": {
      "type": [
        "array",
        "null"
      ],
      "items": {
        "type": "string"
      },
      "description": "The metadata fields to index for the dataset."
    },
    "metadata_fields_to_embed": {
      "type": [
        "array",
        "null"
      ],
      "items": {
        "type": "string"
      },
      "description": "The metadata fields to embed for the dataset."
    },
    "dataset_config": {
      "oneOf": [
        {
          "$ref": "#/$defs/datasets_DatasetConfig"
        },
        {
          "type": "null"
        }
      ]
    }
  },
  "required": [
    "created_dt",
    "created_by",
    "id",
    "name",
    "embeddings",
    "encoders",
    "description",
    "allowed_asset_types",
    "status",
    "keyframe_sampling_method",
    "store_original",
    "store_preview"
  ],
  "$defs": {
    "datasets_AssetTypeEnum": {
      "type": "string",
      "enum": [
        "image",
        "video"
      ],
      "description": "Indicates the type of asset",
      "title": "AssetTypeEnum"
    },
    "datasets_CompositeSettings": {
      "type": "object",
      "properties": {
        "maximum_slice_duration_seconds": {
          "type": "integer",
          "description": "Maximum duration in seconds for a single composite slice."
        }
      },
      "required": [
        "maximum_slice_duration_seconds"
      ],
      "title": "CompositeSettings"
    },
    "datasets_DatasetConfig": {
      "type": "object",
      "properties": {
        "embedding_id": {
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "format": "uuid"
          },
          "description": "Mapping from encoder modality to the UUID of the embedding model used for that modality."
        },
        "encoder_name": {
          "type": "object",
          "additionalProperties": {
            "type": "string"
          },
          "description": "Mapping from encoder modality to the name of the encoder model used for that modality."
        },
        "extra_config": {
          "oneOf": [
            {
              "$ref": "#/$defs/datasets_ExtraConfig"
            },
            {
              "type": "null"
            }
          ],
          "description": "Optional extra configuration for composite types."
        },
        "hybrid_search": {
          "oneOf": [
            {
              "$ref": "#/$defs/datasets_HybridSearchConfig"
            },
            {
              "type": "null"
            }
          ],
          "description": "Optional hybrid search configuration specifying modality weights."
        },
        "context_studio_enabled": {
          "type": [
            "boolean",
            "null"
          ],
          "default": false,
          "description": "Whether Context Studio is enabled for this dataset."
        },
        "metadata_fields_to_embed": {
          "type": [
            "array",
            "null"
          ],
          "items": {
            "type": "string"
          },
          "description": "Metadata fields whose values are embedded."
        },
        "metadata_fields_to_index": {
          "type": [
            "array",
            "null"
          ],
          "items": {
            "type": "string"
          },
          "description": "Metadata fields that are indexed for filtering and search."
        },
        "celebrity_detection_enabled": {
          "type": [
            "boolean",
            "null"
          ],
          "default": false,
          "description": "Whether celebrity detection is enabled for this dataset."
        },
        "agentic_search_metadata_description": {
          "type": [
            "object",
            "null"
          ],
          "additionalProperties": {
            "type": "string"
          },
          "description": "Per-key descriptions of metadata fields."
        },
        "asset_identifier_key": {
          "type": [
            "string",
            "null"
          ],
          "description": "The metadata field name that uniquely identifies each asset in the dataset."
        },
        "context_studio_export_json_connection_name": {
          "type": [
            "string",
            "null"
          ],
          "description": "The name of the connection required for external s3 export. (this is related to context_studio feature)."
        }
      },
      "required": [
        "embedding_id",
        "encoder_name"
      ],
      "title": "DatasetConfig"
    },
    "datasets_DatasetStatusEnum": {
      "type": "string",
      "enum": [
        "active",
        "inactive",
        "deleting",
        "deleted"
      ],
      "description": "Indicates the operational status of a dataset",
      "title": "DatasetStatusEnum"
    },
    "datasets_Encoder": {
      "type": "object",
      "properties": {
        "id": {
          "type": "string",
          "format": "uuid",
          "description": "The unique identifier for the encoder."
        },
        "name": {
          "$ref": "#/$defs/datasets_EncoderName",
          "description": "The model used to extract visual and audio features from assets."
        },
        "modality": {
          "type": "string",
          "description": "The supported modality of the encoder."
        },
        "modalities": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "The supported modalities of the encoder."
        }
      },
      "required": [
        "id",
        "name",
        "modality",
        "modalities"
      ],
      "title": "Encoder"
    },
    "datasets_EncoderName": {
      "oneOf": [
        {
          "$ref": "#/$defs/datasets_VisualEncoderNameEnum"
        },
        {
          "type": "string"
        }
      ],
      "description": "The model used to extract visual and audio features from assets.",
      "title": "EncoderName"
    },
    "datasets_ExtraConfig": {
      "type": "object",
      "properties": {
        "composite_settings": {
          "type": "object",
          "additionalProperties": {
            "$ref": "#/$defs/datasets_CompositeSettings"
          },
          "description": "Mapping of composite type name to its settings."
        }
      },
      "required": [
        "composite_settings"
      ],
      "title": "ExtraConfig"
    },
    "datasets_HybridSearchConfig": {
      "type": "object",
      "properties": {
        "weights": {
          "type": "object",
          "additionalProperties": {
            "type": "number",
            "format": "double"
          },
          "description": "Weights for each modality used in hybrid search scoring."
        }
      },
      "required": [
        "weights"
      ],
      "title": "HybridSearchConfig"
    },
    "datasets_KeyframeSamplingMethodEnum": {
      "type": "string",
      "enum": [
        "intelligent",
        "uniform"
      ],
      "description": "Indicates the method used to sample keyframes from a video",
      "title": "KeyframeSamplingMethodEnum"
    },
    "datasets_VisualEncoderNameEnum": {
      "type": "string",
      "enum": [
        "multimodal",
        "multimodal-tx-large2",
        "multimodal-tx-large3",
        "multimodal-tx-large4",
        "nova2-multimodal",
        "resnet-50",
        "resnet-50-reduced"
      ],
      "title": "VisualEncoderNameEnum"
    }
  }
}

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