OpikEvaluationDataset test branch

[lrcouto]

Reopened from #125

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This branch is to test OpikEvaluationDataset (kedro-org/kedro-plugins#1364). PR is to make it easier to see differences compared to main.

How to test

• Clone the opik-evaluation branch of kedro-academy
• Set up credentials in conf/local/credentials.yml:

opik_credentials:
  api_key: "opik-api-key"
  workspace: "workspace-name"

openai:
  openai_api_key: "openai-api-key"

Then we can run the pipeline and check the result on the opik dashboard:

kedro run --pipeline intent_detection_evaluation_opik --params model_name=gpt-4o

Expected in the Opik dashboard:

• A new dataset named evaluations/intent_agent_evaluation appears under Datasets
• Items are visible with auto-generated UUIDs (human-readable IDs are stripped, this is expected)
• An experiment run appears under Experiments with scoring results per item

Run the pipeline a second time without changing the local file. Content hash deduplication means no new items are created in Opik, the item count stays the same.

Expected: dataset item count unchanged; a new experiment run is recorded.

Then, add a new item to data/intent_detection/evaluation/intent_evaluation.json and rerun. The new item should appear in the remote dataset after load.