dataset_path: lmms-lab/LMMs-Eval-Lite
dataset_kwargs:
  token: True
task : "flickr30k_test_lite"
dataset_name: flickr30k_test
test_split: lite
output_type: generate_until
doc_to_visual: !function utils.flickr_doc_to_visual
doc_to_text: !function utils.flickr_doc_to_text
doc_to_target: "answer"
generation_kwargs:
  max_new_tokens: 64
  temperature: 0
  top_p: 1.0
  num_beams: 1
  do_sample: false
process_results: !function utils.flickr_process_result
# 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: flickr_Bleu_4 
    aggregation : !function utils.flickr_bleu4
    higher_is_better : true
  - metric: flickr_Bleu_3
    aggregation : !function utils.flickr_bleu3
    higher_is_better : true
  - metric: flickr_Bleu_2
    aggregation : !function utils.flickr_bleu2
    higher_is_better : true
  - metric: flickr_Bleu_1
    aggregation : !function utils.flickr_bleu1
    higher_is_better : true
  - metric: flickr_METEOR
    aggregation : !function utils.flickr_meteor
    higher_is_better : true
  - metric: flickr_ROUGE_L
    aggregation : !function utils.flickr_rougel
    higher_is_better : true
  - metric: flickr_CIDEr
    aggregation : !function utils.flickr_cider
    higher_is_better : true
  #- metric: flickr_SPICE
  #  aggregation : !function utils.flickr_spice
  #  higher_is_better : true
metadata:
  - version: 0.0
