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GET
/
v1
/
retrievers
/
evaluations
/
datasets
/
{dataset_identifier}
Get evaluation dataset
curl --request GET \
  --url https://api.mixpeek.com/v1/retrievers/evaluations/datasets/{dataset_identifier} \
  --header 'Authorization: Bearer <token>'
{
  "dataset_id": "<string>",
  "dataset_name": "<string>",
  "queries": [
    {
      "query_id": "<string>",
      "query_input": {},
      "relevant_documents": [
        "<string>"
      ],
      "relevance_scores": {}
    }
  ],
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "namespace_id": "<string>",
  "internal_id": "<string>",
  "query_count": 123,
  "description": "<string>",
  "metadata": {}
}

Authorizations

Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

dataset_identifier
string
required

Response

Successful Response

Complete evaluation dataset with metadata.

An evaluation dataset is a collection of queries with ground truth relevance labels, used to measure retriever quality.

dataset_id
string
required

Unique dataset identifier

dataset_name
string
required

Human-readable dataset name

queries
GroundTruthQuery · object[]
required

List of queries with ground truth

created_at
string<date-time>
required

When dataset was created

updated_at
string<date-time>
required

Last update timestamp

namespace_id
string
required

Namespace this dataset belongs to

internal_id
string
required

Internal organization ID

query_count
integer
required

Number of queries in dataset

description
string | null

Dataset description

metadata
Metadata · object | null

Additional metadata (e.g., labeling instructions, version info)