task: vizwiz_vqa_val_lite
test_split: lite 
dataset_path: lmms-lab/LMMs-Eval-Lite
dataset_name: vizwiz_vqa_val
output_type: generate_until
doc_to_visual: !function utils.vizwiz_vqa_doc_to_visual
doc_to_text: !function utils.vizwiz_vqa_doc_to_text
doc_to_target: "answer"
generation_kwargs:
  until:
    - "ASSISTANT:"
metadata:
  - version: 0.0
lmms_eval_specific_kwargs:
  default:
    pre_prompt: ""
    post_prompt: "\nWhen the provided information is insufficient, respond with 'Unanswerable'.\nAnswer the question using a single word or phrase."
process_results: !function utils.vizwiz_vqa_process_results

metric_list:
  - metric: exact_match
    aggregation: mean
    higher_is_better: true
    ignore_case: true
    ignore_punctuation: true
  # - metric: submission
  #   aggregation: !function utils.vizwiz_vqa_aggregate_submissions
  #   higher_is_better: true