> ## Documentation Index > Fetch the complete documentation index at: https://docs.mixpeek.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # List evaluation datasets > List all evaluation datasets with pagination ## OpenAPI ````yaml get /v1/retrievers/evaluations/datasets openapi: 3.1.0 info: title: Mixpeek API description: >- This is the Mixpeek API, providing access to various endpoints for data processing and retrieval. termsOfService: https://mixpeek.com/terms contact: name: Mixpeek Support url: https://mixpeek.com/contact email: info@mixpeek.com version: '0.82' servers: - url: https://api.mixpeek.com description: Production security: [] paths: /v1/retrievers/evaluations/datasets: get: tags: - Retriever Evaluations summary: List evaluation datasets description: List all evaluation datasets with pagination operationId: list_datasets_v1_retrievers_evaluations_datasets_get parameters: - name: page in: query required: false schema: type: integer minimum: 1 description: Page number (1-indexed) default: 1 title: Page description: Page number (1-indexed) - name: page_size in: query required: false schema: type: integer maximum: 1000 minimum: 1 description: Items per page default: 20 title: Page Size description: Items per page responses: '200': description: Successful Response content: application/json: schema: $ref: '#/components/schemas/DatasetListResponse' '400': description: Bad Request content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '401': description: Unauthorized content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '403': description: Forbidden content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '404': description: Not Found content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '422': description: Validation Error content: application/json: schema: $ref: '#/components/schemas/HTTPValidationError' '500': description: Internal Server Error content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' components: schemas: DatasetListResponse: properties: datasets: items: $ref: '#/components/schemas/EvaluationDataset' type: array title: Datasets description: List of datasets total: type: integer title: Total description: Total number of datasets page: type: integer title: Page description: Current page number page_size: type: integer title: Page Size description: Items per page type: object required: - datasets - total - page - page_size title: DatasetListResponse description: Response model for listing datasets. ErrorResponse: properties: success: type: boolean title: Success description: Always false for error responses default: false status: type: integer title: Status description: HTTP status code for this error error: $ref: '#/components/schemas/ErrorDetail' description: Error details payload type: object required: - status - error title: ErrorResponse description: Error response model. examples: - error: details: id: ns_123 resource: namespace message: Namespace not found type: NotFoundError status: 404 success: false HTTPValidationError: properties: detail: items: $ref: '#/components/schemas/ValidationError' type: array title: Detail type: object title: HTTPValidationError EvaluationDataset: properties: dataset_id: type: string title: Dataset Id description: Unique dataset identifier dataset_name: type: string title: Dataset Name description: Human-readable dataset name description: anyOf: - type: string - type: 'null' title: Description description: Dataset description queries: items: $ref: '#/components/schemas/GroundTruthQuery' type: array title: Queries description: List of queries with ground truth created_at: type: string format: date-time title: Created At description: When dataset was created updated_at: type: string format: date-time title: Updated At description: Last update timestamp namespace_id: type: string title: Namespace Id description: Namespace this dataset belongs to internal_id: type: string title: Internal Id description: Internal organization ID query_count: type: integer title: Query Count description: Number of queries in dataset metadata: anyOf: - additionalProperties: true type: object - type: 'null' title: Metadata description: Additional metadata (e.g., labeling instructions, version info) type: object required: - dataset_id - dataset_name - queries - created_at - updated_at - namespace_id - internal_id - query_count title: EvaluationDataset description: >- Complete evaluation dataset with metadata. An evaluation dataset is a collection of queries with ground truth relevance labels, used to measure retriever quality. ErrorDetail: properties: message: type: string title: Message description: Human-readable error message type: type: string title: Type description: Stable error type identifier (machine-readable) code: anyOf: - type: string - type: 'null' title: Code description: >- Fine-grained error code for programmatic handling (e.g., namespace_name_taken, feature_extractor_not_found). Present only when consumers may need to branch on a specific error condition. details: anyOf: - additionalProperties: true type: object - type: 'null' title: Details description: >- Optional structured details to help debugging (validation errors, IDs, etc.) type: object required: - message - type title: ErrorDetail description: Error detail model. ValidationError: properties: loc: items: anyOf: - type: string - type: integer type: array title: Location msg: type: string title: Message type: type: string title: Error Type type: object required: - loc - msg - type title: ValidationError GroundTruthQuery: properties: query_id: type: string title: Query Id description: Unique identifier for this query within the dataset query_input: additionalProperties: true type: object title: Query Input description: >- Query input in the same format as retriever execution (e.g., {'text': '...'}) relevant_documents: items: type: string type: array title: Relevant Documents description: List of feature_ids that are relevant for this query relevance_scores: anyOf: - additionalProperties: type: integer type: object - type: 'null' title: Relevance Scores description: >- Optional graded relevance scores (doc_id -> score, 0-5 where 5 is most relevant). Used for NDCG calculation. type: object required: - query_id - query_input - relevant_documents title: GroundTruthQuery description: |- Single query with ground truth relevance labels. This represents one query in an evaluation dataset, along with the list of documents that are considered relevant for that query. ````