> ## Documentation Index > Fetch the complete documentation index at: https://docs.mka1.com/llms.txt > Use this file to discover all available pages before exploring further. # Import historical eval results from Hugging Face > Imports simplified historical samples.jsonl-style eval results from a Hugging Face dataset repository into a completed eval suite run shape. Aggregates are recomputed from samples and include canonical score metrics for leaderboards. ## OpenAPI ````yaml https://apigw.mka1.com/speakeasy.json post /api/v1/llm/evals/imports/huggingface-results openapi: 3.1.1 info: title: MKA1 API version: 1.1.0 description: >- The MKA1 API is a RESTful API that provides access to the MKA1 platform. Learn how to get started with the API and the TypeScript SDK [here](https://mka1.apidocumentation.com/guides/getting-started). license: name: Proprietary servers: - url: https://apigw.mka1.com description: MKA1 API Gateway - url: / description: Relative server URL (configurable via SDK constructor) security: [] tags: - name: Resource Authorization description: >- Manage permissions for LLM resources. Create resources, grant/revoke permissions, and delete resources. Only resource owners can grant, revoke, or delete permissions. x-displayName: Resource Authorization - name: Embeddings description: >- Text embedding API endpoints for generating vector representations of text. Create semantic embeddings for search, clustering, and similarity matching using various embedding models. x-displayName: Embeddings - name: Feedback description: >- User feedback API for rating and commenting on chat completions. Collect thumbs up/down ratings and detailed feedback to improve model responses and track user satisfaction. x-displayName: Feedback - name: Images description: >- Image generation API endpoints for creating images from text descriptions. Generate images with control over size, quality, and style. x-displayName: Images - name: MCP Vault description: >- MCP vault API for storing user-owned MCP server configurations and encrypted credentials. Agents reference vault IDs so secrets are resolved only at tool execution time. x-displayName: MCP Vault - name: Speech description: >- Speech API endpoints for audio processing. Convert text to natural-sounding speech (TTS) or transcribe speech to text (STT) in different languages. x-displayName: Speech - name: Usage description: >- Usage tracking and analytics API for monitoring token consumption, request counts, and cost analysis. View detailed statistics per user, model, and time period. x-displayName: Usage - name: Extract description: >- Structured data extraction API for extracting information from files. Define JSON schemas to extract structured data from images, PDFs, and documents. Supports reusable schema templates. x-displayName: Extract - name: Text Classification description: >- Text classification API for categorizing text into predefined labels. Use AI models to classify text content for sentiment analysis, topic categorization, and content moderation. x-displayName: Text Classification - name: Responses description: >- Agent-powered responses API for creating AI agents with autonomous tool usage. Build conversational assistants that can use web search, file operations, image generation, code execution, computer use simulation, and MCP integrations. Supports background processing, streaming, and real-time status tracking. x-displayName: Responses - name: Files description: >- File management API for uploading, storing, and managing files with automatic expiration and S3 integration. Upload files that can be used with Assistants, Vector Stores, and other features. Files are stored in S3 with metadata tracked in PostgreSQL. Supports automatic cleanup of expired files. x-displayName: Files - name: Vector Stores description: >- Vector store API for storing and searching documents using embeddings. Create vector stores, upload files with automatic chunking and embedding generation, and perform semantic search. Files are processed asynchronously using Temporal workflows for durability. Supports automatic cleanup of expired stores and LanceDB for efficient vector storage. x-displayName: Vector Stores - name: Conversations description: >- Conversation management API for storing and retrieving conversation state across Response API calls. Create conversations, add items (user messages, assistant messages, system messages), and maintain conversation history. Supports metadata tracking and multi-turn dialogue state management. x-displayName: Conversations - name: Guardrails description: >- AI safety guardrails API for configuring content moderation and security policies. Set up ban word lists, prompt injection detection, and system prompt leakage prevention. Guardrails apply to all requests from an account and can be tested before deployment. x-displayName: Guardrails - name: Models description: >- Model listing API for discovering available models. Returns model IDs, ownership, and metadata for all registered models in the gateway. x-displayName: Models - name: Skills description: >- Skills API for managing versioned bundles of instructions and files following the Agent Skills standard. Create, version, and download reusable skill packages that include SKILL.md manifests for agent environments. x-displayName: Skills - name: Chat Completions description: >- **Deprecated: Use the Responses API (`/api/v1/llm/responses`) instead.** Chat completion endpoints with support for streaming, tool calls, and multiple providers. x-deprecated: true x-displayName: Chat Completions - name: Batches x-displayName: Batches - name: Evals x-displayName: Evals - name: Fine-Tuning x-displayName: Fine-Tuning - name: Memory Stores x-displayName: Memory Stores - name: Prompts x-displayName: Prompts - name: Tables description: Manage table schemas, data operations, search, and indices. x-displayName: Tables - name: Text Store description: >- Manage text stores with hybrid (vector + full-text) search and grouped text sets. x-displayName: Text Store - name: GraphRAG description: >- Construct and query lightweight knowledge graphs backed by Redis and LanceDB. x-displayName: GraphRAG - name: API Key x-displayName: API Key - name: Sessions description: Create, inspect, access, and terminate sandbox sessions. x-displayName: Sessions - name: Browser description: >- Connect to browser sessions through the gateway port proxy. Browser sessions expose a Chrome DevTools Protocol endpoint on port 9222. x-displayName: Browser - name: Execution description: Run shell commands and code inside an existing sandbox session. x-displayName: Execution - name: Workspace description: >- Inspect the workspace manifest, transfer files or archives, and download generated artifacts. x-displayName: Workspace - name: Sandbox Usage x-displayName: Sandbox Usage - name: Agents description: Create and manage reusable agent definitions. x-displayName: Agents - name: Agent Versions description: Inspect an agent's configuration history and roll back to a prior version. x-displayName: Agent Versions - name: Agent Runs description: Execute saved agents and inspect persisted run results. x-displayName: Agent Runs - name: Agent Schedules description: Create and manage scheduled or recurring saved agent runs. x-displayName: Agent Schedules - name: schema-5_other x-displayName: other paths: /api/v1/llm/evals/imports/huggingface-results: post: tags: - Evals summary: Import historical eval results from Hugging Face description: >- Imports simplified historical samples.jsonl-style eval results from a Hugging Face dataset repository into a completed eval suite run shape. Aggregates are recomputed from samples and include canonical score metrics for leaderboards. operationId: importHistoricalEvalResults parameters: - name: X-HuggingFace-Token in: header required: true description: >- Caller-owned Hugging Face token with read access to the source dataset repository. Gateway does not use its server-side Hugging Face token for historical imports. schema: type: string example: hf_your_read_token - name: X-On-Behalf-Of in: header required: false schema: type: string description: Optional external end-user identifier forwarded by the API gateway. requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/ImportHistoricalEvalResultsRequest' example: source: type: huggingface repo: meetkai/lm-eval-harness-result revision: main path_prefix: qwen/ur/ suite_name: MKA1 historical eval results create_missing_tasks: true metadata: owner: eval-team responses: '200': description: OK content: application/json: schema: $ref: '#/components/schemas/EvalHistoricalImportObject' example: object: eval.import source: type: huggingface repo: meetkai/lm-eval-harness-result revision: main suite_id: eval_suite_aa87e2b1112a455b8deabed784372198 suite_version: 1 created_suite: true created_suite_version: true dry_run: false discovered_files: 30 imported_runs: 30 skipped_runs: 0 imported_samples: 8870 security: - bearerAuth: [] x-codeSamples: - lang: python label: Python (SDK) source: |- from meetkai_mka1 import SDK with SDK( bearer_auth="", ) as sdk: res = sdk.llm.evals.import_historical_results(x_hugging_face_token="hf_your_read_token", source={ "path_prefix": "qwen/ur/", }, suite_name="MKA1 historical eval results", create_missing_tasks=True, dry_run=False, metadata={ "owner": "eval-team", }) # Handle response print(res) - lang: typescript label: Typescript (SDK) source: |- import { SDK } from "@meetkai/mka1"; const sdk = new SDK({ bearerAuth: "", }); async function run() { const result = await sdk.llm.evals.importHistoricalResults({ xHuggingFaceToken: "hf_your_read_token", importHistoricalEvalResultsRequest: { source: { pathPrefix: "qwen/ur/", }, suiteName: "MKA1 historical eval results", metadata: { "owner": "eval-team", }, }, }); console.log(result); } run(); - lang: csharp label: CSharp (SDK) source: |- using MeetKai.MKA1; using MeetKai.MKA1.Types.Components; using System.Collections.Generic; var sdk = new SDK(bearerAuth: ""); var res = await sdk.Llm.Evals.ImportHistoricalResultsAsync( xHuggingFaceToken: "hf_your_read_token", body: new MeetKai.MKA1.Types.Components.ImportHistoricalEvalResultsRequest() { Source = new ImportHistoricalEvalResultsRequestSource() { PathPrefix = "qwen/ur/", }, SuiteName = "MKA1 historical eval results", Metadata = new Dictionary() { { "owner", "eval-team" }, }, } ); // handle response components: schemas: ImportHistoricalEvalResultsRequest: type: object properties: source: type: object properties: type: const: huggingface default: huggingface repo: type: string pattern: ^[A-Za-z0-9][A-Za-z0-9_.-]*\/[A-Za-z0-9][A-Za-z0-9_.-]*$ default: meetkai/lm-eval-harness-result revision: type: string minLength: 1 default: main path_prefix: type: string minLength: 1 files: type: array minItems: 1 maxItems: 100 items: type: string minLength: 1 default: type: huggingface repo: meetkai/lm-eval-harness-result revision: main suite_id: type: string description: >- Existing suite to import into. Missing tasks are appended as a new version by default. suite_name: type: string minLength: 1 maxLength: 255 default: Historical lm-eval harness results suite_description: type: string maxLength: 10000 create_missing_tasks: type: boolean default: true dry_run: type: boolean default: false limit_files: type: integer minimum: 1 maximum: 100 description: >- Maximum number of result files to import from Hugging Face, capped at 100. Repository listing imports default to 50; explicit source.files imports are not capped unless this is set. metadata: type: object propertyNames: type: string maxLength: 64 additionalProperties: type: string maxLength: 512 default: {} EvalHistoricalImportObject: type: object properties: object: const: eval.import source: type: object properties: type: const: huggingface repo: type: string revision: type: string required: - type - repo - revision suite_id: type: string suite_version: type: integer minimum: -9007199254740991 maximum: 9007199254740991 created_suite: type: boolean created_suite_version: type: boolean dry_run: type: boolean discovered_files: type: integer minimum: 0 maximum: 9007199254740991 imported_runs: type: integer minimum: 0 maximum: 9007199254740991 skipped_runs: type: integer minimum: 0 maximum: 9007199254740991 imported_samples: type: integer minimum: 0 maximum: 9007199254740991 required: - object - source - suite_id - suite_version - created_suite - created_suite_version - dry_run - discovered_files - imported_runs - skipped_runs - imported_samples securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: API Key description: >- Gateway auth: send `Authorization: Bearer `. For multi-user server-side integrations, you can also send `X-On-Behalf-Of: `. ````