fixed super_glue and removed unused yaml config

lm_eval/tasks/super_glue/boolq/promptsource-00.yaml

-group:
-  - super-glue-promptsource
-task: "GPT-3 Style"
-dataset_path: super_glue
-dataset_name: boolq
-training_split: train
-validation_split: validation
-use_prompt: "promptsource:GPT-3 Style"
-metric_list:
-  - metric: exact_match
-    aggregation: mean
-    higher_is_better: true
-    ignore_case: true
-    ignore_punctuation: true

lm_eval/tasks/super_glue/boolq/promptsource-01.yaml

-include: promptsource-00.yaml
-group:
-  - super-glue-promptsource
-task: "based on the previous passage"
-use_prompt: "promptsource:based on the previous passage"

lm_eval/tasks/super_glue/boolq/promptsource-02.yaml

-include: promptsource-00.yaml
-group:
-  - super-glue-promptsource
-task: "based on the following passage"
-use_prompt: "promptsource:based on the following passage"

lm_eval/tasks/super_glue/boolq/seq2seq.yaml

 group:
-  - super-glue-lm-eval-v1
+  - super-glue-lm-eval-v1-seq2seq
 task: "boolq-seq2seq"
 dataset_path: super_glue
 dataset_name: boolq

lm_eval/tasks/super_glue/cb/default.yaml

 group:
   - super-glue-lm-eval-v1
-task: "default"
+task: "cb"
 dataset_path: super_glue
 dataset_name: cb
 output_type: multiple_choice
 training_split: train
 validation_split: validation
 doc_to_text: "{{premise}}\nQuestion: {{hypothesis}}. True, False, or Neither?\nAnswer:"
-doc_to_target: "{{answer_choices[labe]}}"
+doc_to_target: "{{answer_choices[label]}}"
 gold_alias: "{{label}}" # this will be cast to an int.
 template_aliases: "{% set answer_choices = ['True', 'False', 'Neither'] %}"
 metric_list:

lm_eval/tasks/super_glue/cb/promptsource-00.yaml

-group:
-  - super-glue-promptsource
-task: "GPT-3 style"
-dataset_path: super_glue
-dataset_name: cb
-training_split: train
-validation_split: validation
-use_prompt: "promptsource:GPT-3 style"
-metric_list:
-  - metric: exact_match
-    aggregation: mean
-    higher_is_better: true
-    ignore_case: true
-    ignore_punctuation: true

lm_eval/tasks/super_glue/cb/promptsource-01.yaml

-include: promptsource-00.yaml
-group:
-  - super-glue-promptsource
-task: "MNLI crowdsource"
-use_prompt: "promptsource:MNLI crowdsource"

lm_eval/tasks/super_glue/cb/promptsource-02.yaml

-include: promptsource-00.yaml
-group:
-  - super-glue-promptsource
-task: "based on the previous passage"
-use_prompt: "promptsource:based on the previous passage"

lm_eval/tasks/super_glue/cb/t5-prompt.yaml

 group:
   - super-glue-t5-prompt
-task: t5-prompt
-reference: "From Raffel et. al. 2019"
+task: super_glue-cb-t5-prompt
 dataset_path: super_glue
 dataset_name: cb
 training_split: train

lm_eval/tasks/super_glue/copa/default.yaml

+group:
+  - super-glue-lm-eval-v1-
+task: "copa"
+dataset_path: super_glue
+dataset_name: copa
+output_type: multiple_choice
+training_split: train
+validation_split: validation
+doc_to_text: !function utils.doc_to_text
+doc_to_target: !function utils.doc_to_target
+gold_alias: "{{label}}" # this will be cast to an int.
+template_aliases: "{% set answer_choices = [{{doc.choice1}}, 'b'] %} {{answer_choices}}"
+metric_list:
+  - metric: acc

lm_eval/tasks/super_glue/copa/promptsource-00.yaml

-group:
-  - super-glue-promptsource
-task: "C1 or C2? premise, so/because…"
-dataset_path: super_glue
-dataset_name: copa
-training_split: train
-validation_split: validation
-use_prompt: "promptsource:C1 or C2? premise, so/because…"
-metric_list:
-  - metric: exact_match
-    aggregation: mean
-    higher_is_better: true
-    ignore_case: true
-    ignore_punctuation: true

lm_eval/tasks/super_glue/copa/promptsource-01.yaml

-include: promptsource-00.yaml
-group:
-  - super-glue-promptsource
-task: "best_option"
-use_prompt: "promptsource:best_option"

lm_eval/tasks/super_glue/copa/promptsource-02.yaml

-include: promptsource-00.yaml
-group:
-  - super-glue-promptsource
-task: "cause_effect"
-use_prompt: "promptsource:cause_effect"

lm_eval/tasks/super_glue/copa/t5-prompt.yaml

 group:
   - super-glue-t5-prompt
-task: t5-prompt
-reference: "From Raffel et. al. 2019"
+task: super_glue-copa-t5-prompt
 dataset_path: super_glue
 dataset_name: copa
 training_split: train

lm_eval/tasks/super_glue/copa/utils.py

+def convert_choice(choice):
+    return choice[0].lower() + choice[1:]
+
+
+def doc_to_text(doc):
+    # Drop the period
+    connector = {
+        "cause": "because",
+        "effect": "therefore",
+    }[doc["question"]]
+    return doc["premise"].strip()[:-1] + f" {connector}"
+
+
+def doc_to_target(doc):
+    correct_choice = doc["choice1"] if doc["label"] == 0 else doc["choice2"]
+    # Connect the sentences
+    return " " + convert_choice(correct_choice)

lm_eval/tasks/super_glue/record/t5-prompt.yaml

 group:
   - super-glue-t5-prompt
-task: t5-prompt
-reference: "From Raffel et. al. 2019"
+task: super_glue-record-t5-prompt
 dataset_path: super_glue
 dataset_name: record
 training_split: train

lm_eval/tasks/super_glue/wic/default.yaml

+group:
+  - super-glue-lm-eval-v1
+task: "wic"
+dataset_path: super_glue
+dataset_name: wic
+output_type: multiple_choice
+training_split: train
+validation_split: validation
+doc_to_text: !function utils.doc_to_text
+doc_to_target: !function utils.doc_to_target
+gold_alias: "{{label}}" # this will be cast to an int.
+template_aliases: "{% set answer_choices = ['no', 'yes'] %}"
+metric_list:
+  - metric: acc

lm_eval/tasks/super_glue/wic/promptsource-00.yaml

-group:
-  - super-glue-promptsource
-task: "GPT-3-prompt"
-dataset_path: super_glue
-dataset_name: wic
-training_split: train
-validation_split: validation
-use_prompt: "promptsource:GPT-3-prompt"
-metric_list:
-  - metric: exact_match
-    aggregation: mean
-    higher_is_better: true
-    ignore_case: true
-    ignore_punctuation: true

lm_eval/tasks/super_glue/wic/promptsource-01.yaml

-include: promptsource-00.yaml
-group:
-  - super-glue-promptsource
-task: "GPT-3-prompt-with-label"
-use_prompt: "promptsource:GPT-3-prompt-with-label"

lm_eval/tasks/super_glue/wic/promptsource-02.yaml

-include: promptsource-00.yaml
-group:
-  - super-glue-promptsource
-task: "affirmation_true_or_false"
-use_prompt: "promptsource:affirmation_true_or_false"