Unverified Commit 6fbebb4b authored by Angelika Romanou's avatar Angelika Romanou Committed by GitHub
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Add INCLUDE tasks (#2769)



* Add INCLUDE tasks

* pacify pre-commit

---------
Co-authored-by: default avatarBaber <baber@hey.com>
parent bb4fa95e
include: _persian_few_shot_og_template_yaml
description: در زیر سؤالات چند گزینه ای (همراه با پاسخ) در مورد Social Science آمده
است.
process_docs: !function 'utils.process_social_science'
task: include_base_44_persian_few_shot_og_social_science
include: _persian_few_shot_og_template_yaml
description: در زیر سؤالات چند گزینه ای (همراه با پاسخ) در مورد STEM آمده است.
process_docs: !function 'utils.process_stem'
task: include_base_44_persian_few_shot_og_stem
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)
group: include_base_44_polish
task:
- include_base_44_polish_few_shot_og_professional_certification
- include_base_44_polish_few_shot_og_social_science
- include_base_44_polish_few_shot_og_stem
aggregate_metric_list:
- metric: acc
weight_by_size: true
metadata:
version: 0.0
dataset_path: CohereForAI/include-base-44
dataset_name: Polish
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
include: _polish_few_shot_og_template_yaml
description: Poniżej znajdują się pytania wielokrotnego wyboru (z odpowiedziami) na
temat Professional certification.
process_docs: !function 'utils.process_professional_certification'
task: include_base_44_polish_few_shot_og_professional_certification
include: _polish_few_shot_og_template_yaml
description: Poniżej znajdują się pytania wielokrotnego wyboru (z odpowiedziami) na
temat Social Science.
process_docs: !function 'utils.process_social_science'
task: include_base_44_polish_few_shot_og_social_science
include: _polish_few_shot_og_template_yaml
description: Poniżej znajdują się pytania wielokrotnego wyboru (z odpowiedziami) na
temat STEM.
process_docs: !function 'utils.process_stem'
task: include_base_44_polish_few_shot_og_stem
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)
group: include_base_44_portuguese
task:
- include_base_44_portuguese_few_shot_og_stem
- include_base_44_portuguese_few_shot_og_social_science
- include_base_44_portuguese_few_shot_og_arts_humanities
- include_base_44_portuguese_few_shot_og_health_oriented_education
- include_base_44_portuguese_few_shot_og_business_commerce
- include_base_44_portuguese_few_shot_og_applied_science
aggregate_metric_list:
- metric: acc
weight_by_size: true
metadata:
version: 0.0
dataset_path: CohereForAI/include-base-44
dataset_name: Portuguese
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
include: _portuguese_few_shot_og_template_yaml
description: A seguir estão perguntas de múltipla escolha (com respostas) sobre Applied
Science.
process_docs: !function 'utils.process_applied_science'
task: include_base_44_portuguese_few_shot_og_applied_science
include: _portuguese_few_shot_og_template_yaml
description: A seguir estão perguntas de múltipla escolha (com respostas) sobre Arts
& Humanities.
process_docs: !function 'utils.process_arts_humanities'
task: include_base_44_portuguese_few_shot_og_arts_humanities
include: _portuguese_few_shot_og_template_yaml
description: A seguir estão perguntas de múltipla escolha (com respostas) sobre Business
& Commerce.
process_docs: !function 'utils.process_business_commerce'
task: include_base_44_portuguese_few_shot_og_business_commerce
include: _portuguese_few_shot_og_template_yaml
description: A seguir estão perguntas de múltipla escolha (com respostas) sobre Health
oriented education.
process_docs: !function 'utils.process_health_oriented_education'
task: include_base_44_portuguese_few_shot_og_health_oriented_education
include: _portuguese_few_shot_og_template_yaml
description: A seguir estão perguntas de múltipla escolha (com respostas) sobre Social
Science.
process_docs: !function 'utils.process_social_science'
task: include_base_44_portuguese_few_shot_og_social_science
include: _portuguese_few_shot_og_template_yaml
description: A seguir estão perguntas de múltipla escolha (com respostas) sobre STEM.
process_docs: !function 'utils.process_stem'
task: include_base_44_portuguese_few_shot_og_stem
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)
group: include_base_44_russian
task:
- include_base_44_russian_few_shot_og_stem
- include_base_44_russian_few_shot_og_health_oriented_education
- include_base_44_russian_few_shot_og_arts_humanities
- include_base_44_russian_few_shot_og_driving_license
- include_base_44_russian_few_shot_og_social_science
- include_base_44_russian_few_shot_og_business_commerce
- include_base_44_russian_few_shot_og_marine_license
- include_base_44_russian_few_shot_og_applied_science
aggregate_metric_list:
- metric: acc
weight_by_size: true
metadata:
version: 0.0
dataset_path: CohereForAI/include-base-44
dataset_name: Russian
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
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