| dataset_path: data/evaluation/ViewSpatial | |
| dataset_kwargs: | |
| token: True | |
| # cache_dir: vsibench | |
| # video: True | |
| task: ViewSpatial | |
| test_split: test | |
| output_type: generate_until | |
| doc_to_visual: !function utils.ViewSpatial_doc_to_visual | |
| doc_to_text: !function utils.ViewSpatial_doc_to_text | |
| doc_to_target: "ground_truth" | |
| generation_kwargs: | |
| max_new_tokens: 16 | |
| temperature: 0 | |
| top_p: 1.0 | |
| num_beams: 1 | |
| do_sample: false | |
| # The return value of process_results will be used by metrics | |
| process_results: !function utils.ViewSpatial_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: ViewSpatial_score | |
| aggregation: !function utils.ViewSpatial_aggregate_results | |
| higher_is_better: true | |
| lmms_eval_specific_kwargs: | |
| default: | |
| pre_prompt: "" | |
| mca_post_prompt: "Answer with the option's letter from the given choices directly." | |
| na_post_prompt: "Please answer the question using a single word or phrase." | |
| gemini_api: | |
| pre_prompt: "" | |
| mca_post_prompt: "Answer with the option's letter from the given choices directly." | |
| na_post_prompt: "Do not response anything other than a single number!" | |
| gpt4v: | |
| pre_prompt: "" | |
| mca_post_prompt: "Answer with the option's letter from the given choices directly." | |
| na_post_prompt: "Do not response anything other than a single number!" | |
| metadata: | |
| - version: 0.0 |