> ## Documentation Index > Fetch the complete documentation index at: https://docs.orq.ai/llms.txt > Use this file to discover all available pages before exploring further. # Retrieve a dataset > Retrieves a specific dataset by its unique identifier **Related guide**: Datasets guide. See the [Datasets guide](/docs/ai-studio/optimize/datasets) for a walkthrough with examples. ## OpenAPI ````yaml get /v2/datasets/{dataset_id} openapi: 3.1.0 info: title: orq.ai API version: '2.0' description: orq.ai API documentation servers: - url: https://my.orq.ai security: - ApiKey: [] tags: - name: Chunking description: Split text into smaller chunks for retrieval and generation workflows. - name: File Systems description: >- Create and manage persistent file systems that agents and MCP clients read from and write to. - name: Knowledge Bases description: Create and manage knowledge bases used by agents and retrieval workflows. - name: Memory Stores description: Create and manage memory stores, memories, and memory documents. - name: Evals description: Run an evaluator against a conversation and its result - description: List models available through the AI Router. name: Models - name: Policies - name: Alerts description: >- Alerts evaluate a Reporting API metric on a fixed interval and fire notifications through notifiers when the value breaches a threshold. Each breach opens a trigger that tracks the incident until the value recovers. - name: Annotation Queues description: Annotation queues collect spans for human review. - name: API keys description: >- API keys authenticate programmatic access to the workspace. They expose opaque tokens, per-domain access grants, and budget and rate-limit constraints. - name: Audit Logs description: Audit logs record workspace entity changes and access-relevant events. - name: Budgets description: >- Budgets govern spend, token usage, and request rate across six scopes: workspace, project, identity, API key, provider, and model. Every applicable budget is enforced, and the most restrictive limit applies per dimension. - name: Files description: File upload and retrieval operations. - name: Guardrail Rules description: >- Guardrail Rules conditionally enforce evaluators and plugins for AI Gateway traffic. Rules may be scoped to a project or the whole workspace. - name: Identities description: >- Identities represent end users from your system for usage and engagement tracking. - name: Management keys description: >- Management keys are workspace-scoped credentials that authenticate programmatic access to workspace administration surfaces (API keys, budgets). Unlike project-scoped API keys, a management key always operates at the workspace level. - name: MCP Gateway description: >- Register upstream MCP servers, discover and sync their tools, and assemble gateways that expose a curated tool surface to MCP clients. - name: Model Catalog description: >- Browse the orq.ai model catalog: every model orq offers, across every provider, with pricing, capabilities and benchmark data. List endpoints only return models that are not deprecated. This API is public, requires no authentication, and is rate limited to 120 requests per minute per IP. Responses carry a 5-minute cache-control max-age. - name: Notifiers description: Notifier destinations used to send delivery and workflow notifications. - name: Projects description: Projects organize resources within a workspace - name: Routing Rules description: >- Routing Rules conditionally select models and enforce request plugins for AI Gateway traffic. Rules are evaluated by ascending priority and may be scoped to a project or the whole workspace. - name: Skills description: >- Skills are modular instructions you can use to codify processes and conventions - name: Smart Routers description: >- Create and manage workspace Smart Routers. A Smart Router selects a model from an eligible pool for each request according to a quality, balanced, or cost profile. - name: Webhooks description: >- Create and manage webhooks that deliver workspace events to external HTTPS endpoints. - name: Workspace Security description: >- Workspace-level domain verification and IP allowlist controls. These operations are restricted to workspace administrators. - name: Workspace Settings description: >- Workspace-level settings managed with a workspace credential. A workspace is the tenant, so these settings are a singleton — there is nothing to create or delete, only read and update. - name: Responses - description: Run agents on a cron cadence. Minimum firing interval is 1 hour. name: Agent Schedules - name: Embeddings - name: Logs description: >- OpenTelemetry log query API. Search, filter, aggregate, and facet log records ingested via OTLP. - name: Reporting description: >- GenAI reporting API over canonical analytics rollups. Accepts a metric name, time range, grain, group-by, and filters; returns a typed time series and optional totals. - name: Traces description: >- Query and inspect ingested trace data: search trace summaries, aggregate metrics, and read individual traces and their spans. externalDocs: url: https://docs.orq.ai description: orq.ai Documentation paths: /v2/datasets/{dataset_id}: get: tags: - Datasets summary: Retrieve a dataset description: Retrieves a specific dataset by its unique identifier operationId: RetrieveDataset parameters: - schema: anyOf: - type: string - type: string format: ulid pattern: ^[0-9A-HJKMNP-TV-Z]{26}$ readOnly: true description: The id of the resource description: The unique identifier of the dataset required: true description: The unique identifier of the dataset name: dataset_id in: path responses: '200': description: Dataset retrieved successfully. Returns the complete dataset object. content: application/json: schema: type: object properties: _id: anyOf: - type: string - type: string format: ulid pattern: ^[0-9A-HJKMNP-TV-Z]{26}$ readOnly: true description: The id of the resource description: The unique identifier of the dataset display_name: type: string minLength: 1 maxLength: 128 description: The display name of the dataset project_id: anyOf: - type: string - type: string format: ulid pattern: ^[0-9A-HJKMNP-TV-Z]{26}$ readOnly: true description: The id of the resource description: The unique identifier of the project it belongs to workspace_id: anyOf: - type: string - type: string format: ulid pattern: ^[0-9A-HJKMNP-TV-Z]{26}$ readOnly: true description: The id of the resource description: The unique identifier of the workspace it belongs to metadata: type: object properties: total_versions: type: number datapoints_count: type: number required: - total_versions - datapoints_count created_by_id: anyOf: - type: string - type: string format: ulid pattern: ^[0-9A-HJKMNP-TV-Z]{26}$ readOnly: true description: The id of the resource - type: 'null' description: The unique identifier of the user who created the dataset updated_by_id: anyOf: - type: string - type: string format: ulid pattern: ^[0-9A-HJKMNP-TV-Z]{26}$ readOnly: true description: The id of the resource - type: 'null' description: >- The unique identifier of the user who last updated the dataset created: anyOf: - format: date-time type: string - format: date-time type: string default: '2026-08-29T10:50:23.037Z' readOnly: true format: date-time description: The date and time the resource was created updated: anyOf: - type: string format: date-time default: '2026-08-29T10:50:23.038Z' - format: date-time type: string readOnly: true format: date-time description: The date and time the resource was last updated required: - _id - display_name - project_id - workspace_id - metadata '404': description: Dataset not found with the given id content: application/json: schema: $ref: '#/components/schemas/HonoApiError' components: schemas: HonoApiError: type: object properties: code: type: string description: HTTP status code message: type: string description: Error message required: - message securitySchemes: ApiKey: type: http scheme: bearer bearerFormat: JWT ````