dataset_path: DreamMr/HR-Bench
dataset_name: hrbench_version_split
dataset_kwargs:
  token: True
task: "hrbench8k"
test_split: hrbench_8k
output_type: generate_until
doc_to_visual: !function utils.hrbench_doc_to_visual
doc_to_text: !function utils.hrbench_doc_to_text
doc_to_target: "answer"
# The return value of process_results will be used by metrics
process_results: !function utils.hrbench_process_results
# Note that the metric name can be either a registed metric function (such as the case for GQA) or a key name returned by process_results
metric_list:
  - metric: single
    aggregation: !function utils.hrbench_aggregate_results
    higher_is_better: true
  - metric: cross
    aggregation: !function utils.hrbench_aggregate_results
    higher_is_better: true
  - metric: average
    aggregation: !function utils.hrbench_aggregate_results
    higher_is_better: true