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lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/_mmlu.yaml

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+group: mmlu_flan_n_shot_generative
+task:
+  - mmlu_flan_n_shot_generative_stem
+  - mmlu_flan_n_shot_generative_other
+  - mmlu_flan_n_shot_generative_social_sciences
+  - mmlu_flan_n_shot_generative_humanities

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/_mmlu_flan_generative_template_yaml

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+group: mmlu_flan_n_shot_generative
+dataset_path: hails/mmlu_no_train # a copy of `cais/mmlu` with no auxiliary_train split
+test_split: test
+fewshot_split: dev
+output_type: generate_until
+doc_to_text: "Q: {{question.strip()}}\n(A) {{choices[0]}} (B) {{choices[1]}} (C) {{choices[2]}} (D) {{choices[3]}}\nA: "
+doc_to_target: "{{['(A)', '(B)', '(C)', '(D)'][answer]}}"
+filter_list:
+  - name: "strict-match"
+    filter:
+      - function: "take_first"
+  - name: "flexible-extract"
+    filter:
+      - function: !function utils.MultiChoiceRegexFilter
+        group_select: 0
+        regex_pattern: "(\\([A-Z]\\))"
+        ignore_case: true
+        ignore_punctuation: true
+      - function: "take_first"
+generation_kwargs:
+  until:
+    - "</s>"
+    - "Q:"
+    - "<|im_end|>"
+metric_list:
+  - metric: exact_match
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 1.0

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_abstract_algebra.yaml

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+"dataset_name": "abstract_algebra"
+"description": "The following are multiple choice questions (with answers) about abstract\
+  \ algebra.\n\n"
+"group": "mmlu_flan_n_shot_generative_stem"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_abstract_algebra"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_anatomy.yaml

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+"dataset_name": "anatomy"
+"description": "The following are multiple choice questions (with answers) about anatomy.\n\
+  \n"
+"group": "mmlu_flan_n_shot_generative_stem"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_anatomy"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_astronomy.yaml

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+"dataset_name": "astronomy"
+"description": "The following are multiple choice questions (with answers) about astronomy.\n\
+  \n"
+"group": "mmlu_flan_n_shot_generative_stem"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_astronomy"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_business_ethics.yaml

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+"dataset_name": "business_ethics"
+"description": "The following are multiple choice questions (with answers) about business\
+  \ ethics.\n\n"
+"group": "mmlu_flan_n_shot_generative_other"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_business_ethics"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_clinical_knowledge.yaml

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+"dataset_name": "clinical_knowledge"
+"description": "The following are multiple choice questions (with answers) about clinical\
+  \ knowledge.\n\n"
+"group": "mmlu_flan_n_shot_generative_other"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_clinical_knowledge"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_college_chemistry.yaml

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+"dataset_name": "college_chemistry"
+"description": "The following are multiple choice questions (with answers) about college\
+  \ chemistry.\n\n"
+"group": "mmlu_flan_n_shot_generative_stem"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_college_chemistry"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_college_mathematics.yaml

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+"dataset_name": "college_mathematics"
+"description": "The following are multiple choice questions (with answers) about college\
+  \ mathematics.\n\n"
+"group": "mmlu_flan_n_shot_generative_stem"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_college_mathematics"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_college_physics.yaml

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+"dataset_name": "college_physics"
+"description": "The following are multiple choice questions (with answers) about college\
+  \ physics.\n\n"
+"group": "mmlu_flan_n_shot_generative_stem"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_college_physics"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_computer_security.yaml

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+"dataset_name": "computer_security"
+"description": "The following are multiple choice questions (with answers) about computer\
+  \ security.\n\n"
+"group": "mmlu_flan_n_shot_generative_stem"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_computer_security"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_electrical_engineering.yaml

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+"dataset_name": "electrical_engineering"
+"description": "The following are multiple choice questions (with answers) about electrical\
+  \ engineering.\n\n"
+"group": "mmlu_flan_n_shot_generative_stem"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_electrical_engineering"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_elementary_mathematics.yaml

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+"dataset_name": "elementary_mathematics"
+"description": "The following are multiple choice questions (with answers) about elementary\
+  \ mathematics.\n\n"
+"group": "mmlu_flan_n_shot_generative_stem"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_elementary_mathematics"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_formal_logic.yaml

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+"dataset_name": "formal_logic"
+"description": "The following are multiple choice questions (with answers) about formal\
+  \ logic.\n\n"
+"group": "mmlu_flan_n_shot_generative_humanities"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_formal_logic"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_high_school_biology.yaml

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+"dataset_name": "high_school_biology"
+"description": "The following are multiple choice questions (with answers) about high\
+  \ school biology.\n\n"
+"group": "mmlu_flan_n_shot_generative_stem"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_high_school_biology"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_high_school_european_history.yaml

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+"dataset_name": "high_school_european_history"
+"description": "The following are multiple choice questions (with answers) about high\
+  \ school european history.\n\n"
+"group": "mmlu_flan_n_shot_generative_humanities"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_high_school_european_history"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_high_school_geography.yaml

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+"dataset_name": "high_school_geography"
+"description": "The following are multiple choice questions (with answers) about high\
+  \ school geography.\n\n"
+"group": "mmlu_flan_n_shot_generative_social_sciences"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_high_school_geography"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_high_school_government_and_politics.yaml

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+"dataset_name": "high_school_government_and_politics"
+"description": "The following are multiple choice questions (with answers) about high\
+  \ school government and politics.\n\n"
+"group": "mmlu_flan_n_shot_generative_social_sciences"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_high_school_government_and_politics"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_high_school_mathematics.yaml

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+"dataset_name": "high_school_mathematics"
+"description": "The following are multiple choice questions (with answers) about high\
+  \ school mathematics.\n\n"
+"group": "mmlu_flan_n_shot_generative_stem"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_high_school_mathematics"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_high_school_physics.yaml

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+"dataset_name": "high_school_physics"
+"description": "The following are multiple choice questions (with answers) about high\
+  \ school physics.\n\n"
+"group": "mmlu_flan_n_shot_generative_stem"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_high_school_physics"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_high_school_psychology.yaml

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+"dataset_name": "high_school_psychology"
+"description": "The following are multiple choice questions (with answers) about high\
+  \ school psychology.\n\n"
+"group": "mmlu_flan_n_shot_generative_social_sciences"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_high_school_psychology"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_high_school_statistics.yaml

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+"dataset_name": "high_school_statistics"
+"description": "The following are multiple choice questions (with answers) about high\
+  \ school statistics.\n\n"
+"group": "mmlu_flan_n_shot_generative_stem"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_high_school_statistics"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_high_school_world_history.yaml

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+"dataset_name": "high_school_world_history"
+"description": "The following are multiple choice questions (with answers) about high\
+  \ school world history.\n\n"
+"group": "mmlu_flan_n_shot_generative_humanities"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_high_school_world_history"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_human_aging.yaml

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+"dataset_name": "human_aging"
+"description": "The following are multiple choice questions (with answers) about human\
+  \ aging.\n\n"
+"group": "mmlu_flan_n_shot_generative_other"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_human_aging"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_human_sexuality.yaml

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+"dataset_name": "human_sexuality"
+"description": "The following are multiple choice questions (with answers) about human\
+  \ sexuality.\n\n"
+"group": "mmlu_flan_n_shot_generative_social_sciences"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_human_sexuality"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_jurisprudence.yaml

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+"dataset_name": "jurisprudence"
+"description": "The following are multiple choice questions (with answers) about jurisprudence.\n\
+  \n"
+"group": "mmlu_flan_n_shot_generative_humanities"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_jurisprudence"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_logical_fallacies.yaml

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+"dataset_name": "logical_fallacies"
+"description": "The following are multiple choice questions (with answers) about logical\
+  \ fallacies.\n\n"
+"group": "mmlu_flan_n_shot_generative_humanities"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_logical_fallacies"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_management.yaml

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+"dataset_name": "management"
+"description": "The following are multiple choice questions (with answers) about management.\n\
+  \n"
+"group": "mmlu_flan_n_shot_generative_other"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_management"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_medical_genetics.yaml

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+"dataset_name": "medical_genetics"
+"description": "The following are multiple choice questions (with answers) about medical\
+  \ genetics.\n\n"
+"group": "mmlu_flan_n_shot_generative_other"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_medical_genetics"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_miscellaneous.yaml

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+"dataset_name": "miscellaneous"
+"description": "The following are multiple choice questions (with answers) about miscellaneous.\n\
+  \n"
+"group": "mmlu_flan_n_shot_generative_other"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_miscellaneous"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_moral_scenarios.yaml

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+"dataset_name": "moral_scenarios"
+"description": "The following are multiple choice questions (with answers) about moral\
+  \ scenarios.\n\n"
+"group": "mmlu_flan_n_shot_generative_humanities"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_moral_scenarios"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_nutrition.yaml

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+"dataset_name": "nutrition"
+"description": "The following are multiple choice questions (with answers) about nutrition.\n\
+  \n"
+"group": "mmlu_flan_n_shot_generative_other"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_nutrition"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_philosophy.yaml

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+"dataset_name": "philosophy"
+"description": "The following are multiple choice questions (with answers) about philosophy.\n\
+  \n"
+"group": "mmlu_flan_n_shot_generative_humanities"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_philosophy"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_prehistory.yaml

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+"dataset_name": "prehistory"
+"description": "The following are multiple choice questions (with answers) about prehistory.\n\
+  \n"
+"group": "mmlu_flan_n_shot_generative_humanities"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_prehistory"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_professional_accounting.yaml

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+"dataset_name": "professional_accounting"
+"description": "The following are multiple choice questions (with answers) about professional\
+  \ accounting.\n\n"
+"group": "mmlu_flan_n_shot_generative_other"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_professional_accounting"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_professional_psychology.yaml

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+"dataset_name": "professional_psychology"
+"description": "The following are multiple choice questions (with answers) about professional\
+  \ psychology.\n\n"
+"group": "mmlu_flan_n_shot_generative_social_sciences"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_professional_psychology"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_public_relations.yaml

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+"dataset_name": "public_relations"
+"description": "The following are multiple choice questions (with answers) about public\
+  \ relations.\n\n"
+"group": "mmlu_flan_n_shot_generative_social_sciences"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_public_relations"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_security_studies.yaml

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+"dataset_name": "security_studies"
+"description": "The following are multiple choice questions (with answers) about security\
+  \ studies.\n\n"
+"group": "mmlu_flan_n_shot_generative_social_sciences"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_security_studies"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_sociology.yaml

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+"dataset_name": "sociology"
+"description": "The following are multiple choice questions (with answers) about sociology.\n\
+  \n"
+"group": "mmlu_flan_n_shot_generative_social_sciences"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_sociology"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_us_foreign_policy.yaml

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+"dataset_name": "us_foreign_policy"
+"description": "The following are multiple choice questions (with answers) about us\
+  \ foreign policy.\n\n"
+"group": "mmlu_flan_n_shot_generative_social_sciences"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_us_foreign_policy"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_virology.yaml

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+"dataset_name": "virology"
+"description": "The following are multiple choice questions (with answers) about virology.\n\
+  \n"
+"group": "mmlu_flan_n_shot_generative_other"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_virology"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/mmlu_world_religions.yaml

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+"dataset_name": "world_religions"
+"description": "The following are multiple choice questions (with answers) about world\
+  \ religions.\n\n"
+"group": "mmlu_flan_n_shot_generative_humanities"
+"include": "_mmlu_flan_generative_template_yaml"
+"task": "mmlu_flan_n_shot_generative_world_religions"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/generative/utils.py

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+import re
+import sys
+import unicodedata
+
+from lm_eval.filters.extraction import RegexFilter
+
+
+class MultiChoiceRegexFilter(RegexFilter):
+    """ """
+
+    def __init__(
+        self,
+        regex_pattern: str = r"#### (\-?[0-9\.\,]+)",
+        group_select=0,
+        fallback: str = "[invalid]",
+        ignore_case=False,
+        ignore_punctuation=False,
+        regexes_to_ignore=None,
+    ) -> None:
+        """
+        regex_pattern: The basic regex pattern to use. If fails to match, we will use the customized match procedure
+                        - step 1 : We parse the choices between ([A-Z])s then try to find these choices in the response.
+                        - step 2 : We parse the choice with regex :[\s]*([A-?]), where ? varies by number of choices.
+        group_select: Selects the (group_select)th match from the findall result.
+        ignore_case: Ignores the case during step 1 matching
+        ignore_punctuation: Remove the punctuation during step 1 matching
+        regexes_to_ignore: Remove these regexes during step 1 matching
+        """
+        super().__init__(regex_pattern, group_select, fallback)
+        self.ignore_case = ignore_case
+        self.ignore_punctuation = ignore_punctuation
+        self.regexes_to_ignore = regexes_to_ignore
+
+    def apply(self, resps, docs):
+        # here, we assume we have a list, in which each element is
+        # a list of model responses for some particular input/target pair.
+        # so we process each of these (same input/target response sets)
+        # independently (and keep them a list.)
+
+        def find_match(regex, resp, convert_dict={}):
+            match = regex.findall(resp)
+            if match:
+                match = match[self.group_select]
+                if isinstance(match, tuple):
+                    match = [m for m in match if m][0]
+                match = match.strip()
+                if match and match in convert_dict:
+                    match = convert_dict[match]
+            return match
+
+        punct_tbl = dict.fromkeys(
+            i
+            for i in range(sys.maxunicode)
+            if unicodedata.category(chr(i)).startswith("P")
+        )
+
+        def filter_ignores(st):
+            if self.regexes_to_ignore is not None:
+                for s in self.regexes_to_ignore:
+                    st = re.sub(s, "", st)
+
+            if self.ignore_case:
+                st = st.lower()
+
+            if self.ignore_punctuation:
+                # https://stackoverflow.com/a/266162
+                st = st.translate(punct_tbl)
+            return st
+
+        filtered_resps = []
+
+        for r, doc in zip(resps, docs):
+            fallback_regexes = []
+            choice_to_alpha = {}
+            next_alpha = "A"
+
+            without_paren_fallback_regexes = []
+            without_paren_to_target = {}
+
+            choices = doc["choices"]
+            for c in choices:
+                m = filter_ignores(c.strip())
+                fallback_regexes.append(f"{re.escape(m)}")
+                choice_to_alpha[m] = f"({next_alpha})"
+
+                without_paren_fallback_regexes.append(next_alpha)
+                without_paren_to_target[next_alpha] = f"({next_alpha})"
+
+                next_alpha = chr(ord(next_alpha) + 1)
+            fallback_regex = re.compile("|".join(fallback_regexes))
+            without_paren_fallback_regex = "|".join(without_paren_fallback_regexes)
+            without_paren_fallback_regex = re.compile(
+                f":[\s]*({without_paren_fallback_regex})"
+            )
+
+            filtered = []
+            for resp in r:
+                match = find_match(self.regex, resp)
+                if not match:
+                    match = find_match(
+                        fallback_regex, filter_ignores(resp), choice_to_alpha
+                    )
+                    if not match:
+                        match = find_match(
+                            without_paren_fallback_regex, resp, without_paren_to_target
+                        )
+                if not match:
+                    match = self.fallback
+                filtered.append(match)
+            filtered_resps.append(filtered)
+
+        return filtered_resps

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/loglikelihood/_mmlu.yaml

@@ -0,0 +1,6 @@
+group: mmlu_flan_n_shot_loglikelihood
+task:
+  - mmlu_flan_n_shot_loglikelihood_stem
+  - mmlu_flan_n_shot_loglikelihood_other
+  - mmlu_flan_n_shot_loglikelihood_social_sciences
+  - mmlu_flan_n_shot_loglikelihood_humanities

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/loglikelihood/_mmlu_flan_loglikelihood_template_yaml

@@ -0,0 +1,16 @@
+dataset_path: hails/mmlu_no_train # a copy of `cais/mmlu` with no auxiliary_train split
+test_split: test
+fewshot_split: dev
+output_type: multiple_choice
+doc_to_text: "Q: {{question.strip()}}\n(A) {{choices[0]}} (B) {{choices[1]}} (C) {{choices[2]}} (D) {{choices[3]}}\nA: "
+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
+metadata:
+  version: 0.0

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/loglikelihood/mmlu_abstract_algebra.yaml

@@ -0,0 +1,6 @@
+"dataset_name": "abstract_algebra"
+"description": "The following are multiple choice questions (with answers) about abstract\
+  \ algebra.\n\n"
+"group": "mmlu_flan_n_shot_loglikelihood_stem"
+"include": "_mmlu_flan_loglikelihood_template_yaml"
+"task": "mmlu_flan_n_shot_loglikelihood_abstract_algebra"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/loglikelihood/mmlu_anatomy.yaml

@@ -0,0 +1,6 @@
+"dataset_name": "anatomy"
+"description": "The following are multiple choice questions (with answers) about anatomy.\n\
+  \n"
+"group": "mmlu_flan_n_shot_loglikelihood_stem"
+"include": "_mmlu_flan_loglikelihood_template_yaml"
+"task": "mmlu_flan_n_shot_loglikelihood_anatomy"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/loglikelihood/mmlu_college_biology.yaml

@@ -0,0 +1,6 @@
+"dataset_name": "college_biology"
+"description": "The following are multiple choice questions (with answers) about college\
+  \ biology.\n\n"
+"group": "mmlu_flan_n_shot_loglikelihood_stem"
+"include": "_mmlu_flan_loglikelihood_template_yaml"
+"task": "mmlu_flan_n_shot_loglikelihood_college_biology"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/loglikelihood/mmlu_college_chemistry.yaml

@@ -0,0 +1,6 @@
+"dataset_name": "college_chemistry"
+"description": "The following are multiple choice questions (with answers) about college\
+  \ chemistry.\n\n"
+"group": "mmlu_flan_n_shot_loglikelihood_stem"
+"include": "_mmlu_flan_loglikelihood_template_yaml"
+"task": "mmlu_flan_n_shot_loglikelihood_college_chemistry"

lm-evaluation-harness/lm_eval/tasks/mmlu/flan_n_shot/loglikelihood/mmlu_college_mathematics.yaml

@@ -0,0 +1,6 @@
+"dataset_name": "college_mathematics"
+"description": "The following are multiple choice questions (with answers) about college\
+  \ mathematics.\n\n"
+"group": "mmlu_flan_n_shot_loglikelihood_stem"
+"include": "_mmlu_flan_loglikelihood_template_yaml"
+"task": "mmlu_flan_n_shot_loglikelihood_college_mathematics"