[Task] Added VSIBench debiased & pruned (#975)

* added vsibench_debiased and vsibench_pruned subset

* fixed yaml name

* fixed yaml files

Author: oscarqjh

lmms_eval/tasks/vsibench/_default_template_yaml

@@ -0,0 +1,35 @@
+dataset_path: nyu-visionx/VSI-Bench
+
+output_type: generate_until
+process_docs: !function utils.process_docs
+doc_to_visual: !function utils.vsibench_doc_to_visual
+doc_to_text: !function utils.vsibench_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.vsibench_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: vsibench_score
+    aggregation: !function utils.vsibench_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

lmms_eval/tasks/vsibench/vsibench.yaml

@@ -1,40 +1,9 @@
-dataset_path: nyu-visionx/VSI-Bench
+dataset_name: full
+test_split: test
+task: "vsibench"
 dataset_kwargs:
   token: True
   cache_dir: vsibench
   video: True
-task: vsibench
-test_split: test
-output_type: generate_until
-process_docs: !function utils.process_docs
-doc_to_visual: !function utils.vsibench_doc_to_visual
-doc_to_text: !function utils.vsibench_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.vsibench_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: vsibench_score
-    aggregation: !function utils.vsibench_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
+include: _default_template_yaml
+

lmms_eval/tasks/vsibench/vsibench_debiased.yaml

@@ -0,0 +1,8 @@
+dataset_name: debiased
+test_split: test
+task: "vsibench_debiased"
+dataset_kwargs:
+  token: True
+  cache_dir: vsibench
+  video: True
+include: _default_template_yaml

lmms_eval/tasks/vsibench/vsibench_pruned.yaml

@@ -0,0 +1,8 @@
+dataset_name: full
+test_split: test
+task: "vsibench_pruned"
+dataset_kwargs:
+  token: True
+  cache_dir: vsibench
+  video: True
+include: _default_template_yaml