HoneyHive Docs

We allow exporting all datasets via our SDKs. This allows you to use your datasets for:

Evaluation: Run ad-hoc experiments or continuous integrations tests against a reference dataset
Fine-Tuning: Use datasets for fine-tuning and validating your custom model

Prerequisites:

Get your API key & project ID by following the steps detailed here.

Expected time: few minutes

import honeyhive

s = honeyhive.HoneyHive(
    bearer_auth="HONEYHIVE_API_KEY",
    server_url="HONEYHIVE_SERVER_URL" # Optional / Required for self-hosted or dedicated deployments
)

datapoints = []
res = s.datapoints.get_datapoints(project='PROJECT_NAME', dataset_name='DATASET_NAME')

if res.object is not None:
    datapoints = res.object.datapoints
    pass

import { HoneyHive } from "honeyhive";

async function run() {
  const sdk = new HoneyHive({
    bearerAuth: "HONEYHIVE_API_KEY",
    serverURL: "HONEYHIVE_SERVER_URL" // Optional / Required for self-hosted or dedicated deployments
  });
  const project: string = "PROJECT_NAME";
  const datasetName: string = "DATASET_NAME";

  let datapoints = [];
  const res = await sdk.datapoints.getDatapoints(project, datapointIds, datasetName);

  if (res.statusCode == 200) {
    // handle response
    datapoints = res.object.datapoints;
  }
}

run();