update

lm_eval/tasks/bbh/multistep_arithmetic_two.yaml

-# Generated by _generate_configs.py
-dataset_name: multistep_arithmetic_two
-include: _template_yaml
-task: bbh_multistep_arithmetic_two

lm_eval/tasks/bbh/navigate.yaml

-# Generated by _generate_configs.py
-dataset_name: navigate
-include: _template_yaml
-task: bbh_navigate

lm_eval/tasks/bbh/object_counting.yaml

-# Generated by _generate_configs.py
-dataset_name: object_counting
-include: _template_yaml
-task: bbh_object_counting

lm_eval/tasks/bbh/penguins_in_a_table.yaml

-# Generated by _generate_configs.py
-dataset_name: penguins_in_a_table
-include: _template_yaml
-task: bbh_penguins_in_a_table

lm_eval/tasks/bbh/reasoning_about_colored_objects.yaml

-# Generated by _generate_configs.py
-dataset_name: reasoning_about_colored_objects
-include: _template_yaml
-task: bbh_reasoning_about_colored_objects

lm_eval/tasks/bbh/ruin_names.yaml

-# Generated by _generate_configs.py
-dataset_name: ruin_names
-include: _template_yaml
-task: bbh_ruin_names

lm_eval/tasks/bbh/salient_translation_error_detection.yaml

-# Generated by _generate_configs.py
-dataset_name: salient_translation_error_detection
-include: _template_yaml
-task: bbh_salient_translation_error_detection

lm_eval/tasks/bbh/snarks.yaml

-# Generated by _generate_configs.py
-dataset_name: snarks
-include: _template_yaml
-task: bbh_snarks

lm_eval/tasks/bbh/sports_understanding.yaml

-# Generated by _generate_configs.py
-dataset_name: sports_understanding
-include: _template_yaml
-task: bbh_sports_understanding

lm_eval/tasks/bbh/temporal_sequences.yaml

-# Generated by _generate_configs.py
-dataset_name: temporal_sequences
-include: _template_yaml
-task: bbh_temporal_sequences

lm_eval/tasks/bbh/tracking_shuffled_objects_five_objects.yaml

-# Generated by _generate_configs.py
-dataset_name: tracking_shuffled_objects_five_objects
-include: _template_yaml
-task: bbh_tracking_shuffled_objects_five_objects

lm_eval/tasks/bbh/tracking_shuffled_objects_seven_objects.yaml

-# Generated by _generate_configs.py
-dataset_name: tracking_shuffled_objects_seven_objects
-include: _template_yaml
-task: bbh_tracking_shuffled_objects_seven_objects

lm_eval/tasks/bbh/tracking_shuffled_objects_three_objects.yaml

-# Generated by _generate_configs.py
-dataset_name: tracking_shuffled_objects_three_objects
-include: _template_yaml
-task: bbh_tracking_shuffled_objects_three_objects

lm_eval/tasks/bbh/web_of_lies.yaml

-# Generated by _generate_configs.py
-dataset_name: web_of_lies
-include: _template_yaml
-task: bbh_web_of_lies

lm_eval/tasks/bbh/word_sorting.yaml

-# Generated by _generate_configs.py
-dataset_name: word_sorting
-include: _template_yaml
-task: bbh_word_sorting

lm_eval/tasks/mmlu/_generate_configs.py

@@ -115,4 +115,4 @@ if __name__ == "__main__":
         file_save_path = args.save_prefix_path + f"_{subject}.yaml"
         eval_logger.info(f"Saving yaml for subset {subject} to {file_save_path}")
         with open(file_save_path, "w") as yaml_file:
-            yaml.dump(yaml_dict, yaml_file)
+            yaml.dump(yaml_dict, yaml_file, width=float("inf"))

lm_eval/tasks/mmlu/flan_n_shot/_mmlu_flan_generative_template_yaml

 group: mmlu_flan
 dataset_path: cais/mmlu
-validation_split: validation
+# validation_split: validation
+test_split: test
 fewshot_split: dev
-doc_to_text: "Q: {{question.strip()}}\n(A) {{choices[0]}} (B) {{choices[1]}} (C) {{choices[2]}} (D) {{choices[3]}}\nA:"
+# doc_to_text: "Q: {{question.strip()}}\n(A) {{choices[0]}} (B) {{choices[1]}} (C) {{choices[2]}} (D) {{choices[3]}}\nA: "
+doc_to_text: "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:"
 output_type: greedy_until
-doc_to_target: "{{['(A)', '(B)', '(C)', '(D)'][answer]}}"
+# doc_to_target: "{{['(A)', '(B)', '(C)', '(D)'][answer]}}"
+doc_to_target: "{{['A', 'B', 'C', 'D'][answer]}}"
 metric_list:
   - metric: exact_match
     aggregation: mean
     higher_is_better: true
-    ignore_case: true
-    ignore_punctuation: true
+    # ignore_case: true
+    # ignore_punctuation: true
 generation_kwargs:
   until:
     - "</s>"
-  do_sample: false
-  temperature: 0.0
+#   do_sample: false
+#   temperature: 0.0
\ No newline at end of file

lm_eval/tasks/mmlu/flan_n_shot/_mmlu_flan_loglikelihood_template_yaml

 group: mmlu_flan_loglikelihood
 dataset_path: cais/mmlu
-validation_split: validation
+# validation_split: validation
+test_split: test
 fewshot_split: dev
-doc_to_text: "Q: {{question.strip()}}\n(A) {{choices[0]}} (B) {{choices[1]}} (C) {{choices[2]}} (D) {{choices[3]}}\nA:"
 output_type: multiple_choice
-doc_to_choice: ['(A)', '(B)', '(C)', '(D)']
+doc_to_text: "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:"
+doc_to_choice: ["A", "B", "C", "D"]
 doc_to_target: answer
 metric_list:
   - metric: acc
     aggregation: mean
     higher_is_better: true
+  - metric: acc_norm
+    aggregation: mean
+    higher_is_better: true
\ No newline at end of file

lm_eval/tasks/mmlu/flan_n_shot/mmlu_abstract_algebra.yaml

 dataset_name: abstract_algebra
-description: 'The following are multiple choice questions (with answers) about abstract
-  algebra.
+description: 'The following are multiple choice questions (with answers) about abstract algebra.
 
 
   '

lm_eval/tasks/mmlu/flan_n_shot/mmlu_business_ethics.yaml

 dataset_name: business_ethics
-description: 'The following are multiple choice questions (with answers) about business
-  ethics.
+description: 'The following are multiple choice questions (with answers) about business ethics.
 
 
   '