Add INCLUDE tasks (#2769)

* Add INCLUDE tasks

* pacify pre-commit

---------
Co-authored-by: Baber <baber@hey.com>

lm_eval/tasks/include/default/Armenian/include_base_44_armenian_arts_humanities.yaml

+include: _armenian_template_yaml
+description: The following is multiple-choice question about Arts & Humanities.
+process_docs: !function 'utils.process_arts_humanities'
+task: include_base_44_armenian_arts_humanities

lm_eval/tasks/include/default/Armenian/include_base_44_armenian_driving_license.yaml

+include: _armenian_template_yaml
+description: The following is multiple-choice question about Driving License.
+process_docs: !function 'utils.process_driving_license'
+task: include_base_44_armenian_driving_license

lm_eval/tasks/include/default/Armenian/include_base_44_armenian_social_science.yaml

+include: _armenian_template_yaml
+description: The following is multiple-choice question about Social Science.
+process_docs: !function 'utils.process_social_science'
+task: include_base_44_armenian_social_science

lm_eval/tasks/include/default/Armenian/include_base_44_armenian_stem.yaml

+include: _armenian_template_yaml
+description: The following is multiple-choice question about STEM.
+process_docs: !function 'utils.process_stem'
+task: include_base_44_armenian_stem

lm_eval/tasks/include/default/Armenian/utils.py

+from functools import partial
+
+
+CATEGORIES = [
+    "Applied Science",
+    "Arts & Humanities",
+    "Business & Commerce",
+    "Driving License",
+    "General knowledge",
+    "Health oriented education",
+    "Marine License",
+    "Medical License",
+    "Professional certification",
+    "STEM",
+    "Social Science",
+]
+
+
+def process_docs(dataset, category):
+    return dataset.filter(lambda x: x["domain"] == category)
+
+
+process_functions = {
+    f"process_{category.lower().replace(' & ', '_').replace(' ', '_')}": partial(
+        process_docs, category=category
+    )
+    for category in CATEGORIES
+}
+
+globals().update(process_functions)

lm_eval/tasks/include/default/Azerbaijani/_azerbaijani_template_yaml

+dataset_path: CohereForAI/include-base-44
+dataset_name: Azerbaijani
+test_split: test
+output_type: multiple_choice
+doc_to_text: "{{question.strip()}}\nA. {{option_a}}\nB. {{option_b}}\nC. {{option_c}}\n
+  D. {{option_d}}\nAnswer:"
+doc_to_choice:
+  - A
+  - B
+  - C
+  - D
+doc_to_target: answer
+metric_list:
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 0.0

lm_eval/tasks/include/default/Azerbaijani/_include_base_44_azerbaijani.yaml

+group: include_base_44_azerbaijani
+task:
+- include_base_44_azerbaijani_business_commerce
+- include_base_44_azerbaijani_applied_science
+- include_base_44_azerbaijani_arts_humanities
+- include_base_44_azerbaijani_social_science
+- include_base_44_azerbaijani_stem
+- include_base_44_azerbaijani_health_oriented_education
+aggregate_metric_list:
+- metric: acc
+  weight_by_size: true
+metadata:
+  version: 0.0

lm_eval/tasks/include/default/Azerbaijani/include_base_44_azerbaijani_applied_science.yaml

+include: _azerbaijani_template_yaml
+description: The following is multiple-choice question about Applied Science.
+process_docs: !function 'utils.process_applied_science'
+task: include_base_44_azerbaijani_applied_science

lm_eval/tasks/include/default/Azerbaijani/include_base_44_azerbaijani_arts_humanities.yaml

+include: _azerbaijani_template_yaml
+description: The following is multiple-choice question about Arts & Humanities.
+process_docs: !function 'utils.process_arts_humanities'
+task: include_base_44_azerbaijani_arts_humanities

lm_eval/tasks/include/default/Azerbaijani/include_base_44_azerbaijani_business_commerce.yaml

+include: _azerbaijani_template_yaml
+description: The following is multiple-choice question about Business & Commerce.
+process_docs: !function 'utils.process_business_commerce'
+task: include_base_44_azerbaijani_business_commerce

lm_eval/tasks/include/default/Azerbaijani/include_base_44_azerbaijani_health_oriented_education.yaml

+include: _azerbaijani_template_yaml
+description: The following is multiple-choice question about Health oriented education.
+process_docs: !function 'utils.process_health_oriented_education'
+task: include_base_44_azerbaijani_health_oriented_education

lm_eval/tasks/include/default/Azerbaijani/include_base_44_azerbaijani_social_science.yaml

+include: _azerbaijani_template_yaml
+description: The following is multiple-choice question about Social Science.
+process_docs: !function 'utils.process_social_science'
+task: include_base_44_azerbaijani_social_science

lm_eval/tasks/include/default/Azerbaijani/include_base_44_azerbaijani_stem.yaml

+include: _azerbaijani_template_yaml
+description: The following is multiple-choice question about STEM.
+process_docs: !function 'utils.process_stem'
+task: include_base_44_azerbaijani_stem

lm_eval/tasks/include/default/Azerbaijani/utils.py

+from functools import partial
+
+
+CATEGORIES = [
+    "Applied Science",
+    "Arts & Humanities",
+    "Business & Commerce",
+    "Driving License",
+    "General knowledge",
+    "Health oriented education",
+    "Marine License",
+    "Medical License",
+    "Professional certification",
+    "STEM",
+    "Social Science",
+]
+
+
+def process_docs(dataset, category):
+    return dataset.filter(lambda x: x["domain"] == category)
+
+
+process_functions = {
+    f"process_{category.lower().replace(' & ', '_').replace(' ', '_')}": partial(
+        process_docs, category=category
+    )
+    for category in CATEGORIES
+}
+
+globals().update(process_functions)

lm_eval/tasks/include/default/Basque/_basque_template_yaml

+dataset_path: CohereForAI/include-base-44
+dataset_name: Basque
+test_split: test
+output_type: multiple_choice
+doc_to_text: "{{question.strip()}}\nA. {{option_a}}\nB. {{option_b}}\nC. {{option_c}}\n
+  D. {{option_d}}\nAnswer:"
+doc_to_choice:
+  - A
+  - B
+  - C
+  - D
+doc_to_target: answer
+metric_list:
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 0.0

lm_eval/tasks/include/default/Basque/_include_base_44_basque.yaml

+group: include_base_44_basque
+task:
+- include_base_44_basque_professional_certification
+aggregate_metric_list:
+- metric: acc
+  weight_by_size: true
+metadata:
+  version: 0.0

lm_eval/tasks/include/default/Basque/include_base_44_basque_professional_certification.yaml

+include: _basque_template_yaml
+description: The following is multiple-choice question about Professional certification.
+process_docs: !function 'utils.process_professional_certification'
+task: include_base_44_basque_professional_certification

lm_eval/tasks/include/default/Basque/utils.py

+from functools import partial
+
+
+CATEGORIES = [
+    "Applied Science",
+    "Arts & Humanities",
+    "Business & Commerce",
+    "Driving License",
+    "General knowledge",
+    "Health oriented education",
+    "Marine License",
+    "Medical License",
+    "Professional certification",
+    "STEM",
+    "Social Science",
+]
+
+
+def process_docs(dataset, category):
+    return dataset.filter(lambda x: x["domain"] == category)
+
+
+process_functions = {
+    f"process_{category.lower().replace(' & ', '_').replace(' ', '_')}": partial(
+        process_docs, category=category
+    )
+    for category in CATEGORIES
+}
+
+globals().update(process_functions)

lm_eval/tasks/include/default/Belarusian/_belarusian_template_yaml

+dataset_path: CohereForAI/include-base-44
+dataset_name: Belarusian
+test_split: test
+output_type: multiple_choice
+doc_to_text: "{{question.strip()}}\nA. {{option_a}}\nB. {{option_b}}\nC. {{option_c}}\n
+  D. {{option_d}}\nAnswer:"
+doc_to_choice:
+  - A
+  - B
+  - C
+  - D
+doc_to_target: answer
+metric_list:
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 0.0

lm_eval/tasks/include/default/Belarusian/_include_base_44_belarusian.yaml

+group: include_base_44_belarusian
+task:
+- include_base_44_belarusian_arts_humanities
+- include_base_44_belarusian_social_science
+- include_base_44_belarusian_stem
+aggregate_metric_list:
+- metric: acc
+  weight_by_size: true
+metadata:
+  version: 0.0