Qubrid AI Datasets API
Upload and manage CSV training datasets used for fine-tuning models. Datasets must be in CSV format with columns appropriate for the selected task type (QA or non-QA).
Qubrid AI Datasets API is one of 13 APIs that Qubrid AI publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
This API exposes 4 JSON Schema definitions.
Tagged areas include Datasets. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, and 4 JSON Schemas.
This API exposes 4 operations across 2 paths, and defines 4 schemas. It is described by OpenAPI 3.1.0, at version 1.0.0.
Requests are made against a single base URL, https://platform.qubrid.com/api/v1.
Metadata
The identity and technical contract details declared by the specification.
Authentication & Security 1
Qubrid AI Datasets API declares
1 security scheme
for authenticating requests.
It accepts HTTP bearer tokens (QUBRID_API_KEY) (bearerAuth).
By default, every request must be authenticated.
bearerAuth— Qubrid AI API key passed as a bearer token in the Authorization header. Obtain your API key from the Qubrid AI platform dashboard at https://platform.qubrid.co…
Paths & Operations 4
Across 2 paths, the API surfaces 4 operations — 1 DELETE, 2 GET, 1 POST. Each is listed below with its method, path, parameters, and response codes.
Upload and manage CSV training datasets used for fine-tuning models. Datasets must be in CSV format with columns appropriate for the selected task type (QA or non-QA).
Schemas 4
The contract defines 4 schemas that model the data the API accepts and returns. The most detailed are Dataset (6 properties), UploadDatasetRequest (2 properties), DatasetList (1 property), ErrorResponse (1 property). Each schema is shown below with its type and property counts.
Specification
The full machine-readable OpenAPI contract behind this narrative.
Source
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Other APIs Qubrid AI publishes across the network.