dataset_path: lmms-lab/alpaca_audio
dataset_kwargs:
  token: True

task: "alpaca_audio"
test_split: test
doc_to_target: "answer"
doc_to_visual: !function utils.doc_to_audio
doc_to_text: !function utils.doc_to_text

generation_kwargs:
  max_new_tokens: 1024
  temperature: 0.2
  top_p: 1.0
  num_beams: 1

lmms_eval_specific_kwargs:
  default:
    pre_prompt: ""
    post_prompt: "\nPlease give a detail answer to the question in the audio."
metric_list:
  - metric: gpt_eval
    aggregation: !function utils.alpaca_audio_aggregate_results
    higher_is_better: true

process_results: !function utils.alpaca_audio_process_results

metadata:
  gpt_eval_model_name: gpt-4o
  version: 0.0
