mlx-bun library API
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    manifest: {
        id: "datasets";
        jobs: readonly [{ gpu: "shared"; isolation: "task"; kind: "dataset" }];
        panel: {
            entry: "@mlx-bun/module-datasets/panel";
            framed: false;
            path: "/dataset";
            tag: "mlx-datasets-panel";
            title: "Build Dataset";
        };
        requires: readonly ["jobs", "storage", "modelHost"];
        routes: readonly [
            {
                id: "templates";
                method: "GET";
                mount: "root";
                path: "/api/dataset/templates";
                response: "json";
                summary: "List the thirteen dataset templates with their input fields";
            },
            {
                id: "submit";
                method: "POST";
                mount: "root";
                path: "/api/dataset/submit";
                response: "json";
                summary: "Start a dataset job for a template; returns the job id and the output directory";
            },
        ];
        storage: readonly [
            {
                key: "datasets";
                kind: "directory";
                path: "datasets";
                purpose: "Generated train.jsonl and valid.jsonl, one directory per job";
            },
        ];
        summary: "Template-driven JSONL dataset generation: thirteen templates, an in-process job that calls the served model, and a Docker verifier for generated Python.";
        title: "Datasets";
    } = ...

    Type Declaration

    • Readonlyid: "datasets"
    • Readonlyjobs: readonly [{ gpu: "shared"; isolation: "task"; kind: "dataset" }]
    • Readonlypanel: {
          entry: "@mlx-bun/module-datasets/panel";
          framed: false;
          path: "/dataset";
          tag: "mlx-datasets-panel";
          title: "Build Dataset";
      }
    • Readonlyrequires: readonly ["jobs", "storage", "modelHost"]
    • Readonlyroutes: readonly [
          {
              id: "templates";
              method: "GET";
              mount: "root";
              path: "/api/dataset/templates";
              response: "json";
              summary: "List the thirteen dataset templates with their input fields";
          },
          {
              id: "submit";
              method: "POST";
              mount: "root";
              path: "/api/dataset/submit";
              response: "json";
              summary: "Start a dataset job for a template; returns the job id and the output directory";
          },
      ]
    • Readonlystorage: readonly [
          {
              key: "datasets";
              kind: "directory";
              path: "datasets";
              purpose: "Generated train.jsonl and valid.jsonl, one directory per job";
          },
      ]
    • Readonlysummary: "Template-driven JSONL dataset generation: thirteen templates, an in-process job that calls the served model, and a Docker verifier for generated Python."
    • Readonlytitle: "Datasets"