danidarko/docs · Datasets at Hugging Face

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def doc_to_text(doc, connector):
conn = connector[doc['question']]
return doc['premise'].strip()[:-1] + f' {conn}'

def doc_to_choice(doc):
return [convert_choice(doc['choice1']), convert_choice(doc['choice2'])]
doc_to_text_et = partial(doc_to_text, connector={'cause': 'sest', 'effect': 'seetõttu'})
doc_to_text_ht = partial(doc_to_text, connector={'cause': 'poukisa', 'effect': 'donk sa'})
doc_to_text_it = partial(doc_to_text, connector={'cause': 'perché', 'effect': 'quindi'})
doc_to_text_id = partial(doc_to_text, connector={'cause': 'karena', 'effect': 'maka'})
doc_to_text_qu = partial(doc_to_text, connector={'cause': 'imataq', 'effect': 'chaymi'})
doc_to_text_sw = partial(doc_to_text, connector={'cause': 'kwa sababu', 'effect': 'kwa hiyo'})
doc_to_text_zh = partial(doc_to_text, connector={'cause': '因为', 'effect': '所以'})
doc_to_text_ta = partial(doc_to_text, connector={'cause': 'காரணமாக', 'effect': 'எனவே'})
doc_to_text_th = partial(doc_to_text, connector={'cause': 'เพราะ', 'effect': 'ดังนั้น'})
doc_to_text_tr = partial(doc_to_text, connector={'cause': 'çünkü', 'effect': 'bu yüzden'})
doc_to_text_vi = partial(doc_to_text, connector={'cause': 'bởi vì', 'effect': 'vì vậy'})

# File: lm-evaluation-harness-main/lm_eval/tasks/xnli/utils.py
import argparse
import yaml
LANGUAGES = {'ar': {'QUESTION_WORD': 'صحيح', 'ENTAILMENT_LABEL': 'نعم', 'NEUTRAL_LABEL': 'لذا', 'CONTRADICTION_LABEL': 'رقم'}, 'bg': {'QUESTION_WORD': 'правилно', 'ENTAILMENT_LABEL': 'да', 'NEUTRAL_LABEL': 'така', 'CONTRADICTION_LABEL': 'не'}, 'de': {'QUESTION_WORD': 'richtig', 'ENTAILMENT_LABEL': 'Ja', 'NEUTRAL_LABEL': 'Auch', 'CONTRADICTION_LABEL': 'Nein'}, 'el': {'QUESTION_WORD': 'σωστός', 'ENTAILMENT_LABEL': 'Ναί', 'NEUTRAL_LABEL': 'Έτσι', 'CONTRADICTION_LABEL': 'όχι'}, 'en': {'QUESTION_WORD': 'right', 'ENTAILMENT_LABEL': 'Yes', 'NEUTRAL_LABEL': 'Also', 'CONTRADICTION_LABEL': 'No'}, 'es': {'QUESTION_WORD': 'correcto', 'ENTAILMENT_LABEL': 'Sí', 'NEUTRAL_LABEL': 'Asi que', 'CONTRADICTION_LABEL': 'No'}, 'fr': {'QUESTION_WORD': 'correct', 'ENTAILMENT_LABEL': 'Oui', 'NEUTRAL_LABEL': 'Aussi', 'CONTRADICTION_LABEL': 'Non'}, 'hi': {'QUESTION_WORD': 'सही', 'ENTAILMENT_LABEL': 'हाँ', 'NEUTRAL_LABEL': 'इसलिए', 'CONTRADICTION_LABEL': 'नहीं'}, 'ru': {'QUESTION_WORD': 'правильно', 'ENTAILMENT_LABEL': 'Да', 'NEUTRAL_LABEL': 'Так', 'CONTRADICTION_LABEL': 'Нет'}, 'sw': {'QUESTION_WORD': 'sahihi', 'ENTAILMENT_LABEL': 'Ndiyo', 'NEUTRAL_LABEL': 'Hivyo', 'CONTRADICTION_LABEL': 'Hapana'}, 'th': {'QUESTION_WORD': 'ถูกต้อง', 'ENTAILMENT_LABEL': 'ใช่', 'NEUTRAL_LABEL': 'ดังนั้น', 'CONTRADICTION_LABEL': 'ไม่'}, 'tr': {'QUESTION_WORD': 'doğru', 'ENTAILMENT_LABEL': 'Evet', 'NEUTRAL_LABEL': 'Böylece', 'CONTRADICTION_LABEL': 'Hayır'}, 'ur': {'QUESTION_WORD': 'صحیح', 'ENTAILMENT_LABEL': 'جی ہاں', 'NEUTRAL_LABEL': 'اس لئے', 'CONTRADICTION_LABEL': 'نہیں'}, 'vi': {'QUESTION_WORD': 'đúng', 'ENTAILMENT_LABEL': 'Vâng', 'NEUTRAL_LABEL': 'Vì vậy', 'CONTRADICTION_LABEL': 'Không'}, 'zh': {'QUESTION_WORD': '正确', 'ENTAILMENT_LABEL': '是的', 'NEUTRAL_LABEL': '所以', 'CONTRADICTION_LABEL': '不是的'}}

def gen_lang_yamls(output_dir: str, overwrite: bool) -> None:
err = []
for lang in LANGUAGES.keys():
file_name = f'xnli_{lang}.yaml'
try:
QUESTION_WORD = LANGUAGES[lang]['QUESTION_WORD']
ENTAILMENT_LABEL = LANGUAGES[lang]['ENTAILMENT_LABEL']
NEUTRAL_LABEL = LANGUAGES[lang]['NEUTRAL_LABEL']
CONTRADICTION_LABEL = LANGUAGES[lang]['CONTRADICTION_LABEL']
with open(f'{output_dir}/{file_name}', 'w' if overwrite else 'x', encoding='utf8') as f:
f.write('# Generated by utils.py\n')
yaml.dump({'include': 'xnli_common_yaml', 'dataset_name': lang, 'task': f'xnli_{lang}', 'doc_to_text': '', 'doc_to_choice': f'{{{{[premise+", {QUESTION_WORD}? {ENTAILMENT_LABEL}, "+hypothesis,premise+", {QUESTION_WORD}? {NEUTRAL_LABEL}, "+hypothesis,premise+", {QUESTION_WORD}? {CONTRADICTION_LABEL}, "+hypothesis]}}}}'}, f, allow_unicode=True)
except FileExistsError:
err.append(file_name)
if len(err) > 0:
raise FileExistsError(f"Files were not created because they already exist (use --overwrite flag): {', '.join(err)}")

def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument('--overwrite', default=False, action='store_true', help='Overwrite files if they already exist')
parser.add_argument('--output-dir', default='.', help='Directory to write yaml files to')
args = parser.parse_args()
gen_lang_yamls(output_dir=args.output_dir, overwrite=args.overwrite)
if __name__ == '__main__':
main()

# File: lm-evaluation-harness-main/lm_eval/tasks/xwinograd/utils.py
import argparse
from typing import Dict, List
import yaml
LANGUAGES = ['en', 'fr', 'jp', 'pt', 'ru', 'zh']

def doc_to_text(doc: Dict) -> int:
answer_to_num = {'1': 0, '2': 1}
return answer_to_num[doc['answer']]

def doc_to_target(doc: Dict) -> str:
idx = doc['sentence'].index('_') + 1
return doc['sentence'][idx:].strip()

def doc_to_choice(doc: Dict) -> List[str]:
idx = doc['sentence'].index('_')
options = [doc['option1'], doc['option2']]
return [doc['sentence'][:idx] + opt for opt in options]

def gen_lang_yamls(output_dir: str, overwrite: bool) -> None:
err = []
for lang in LANGUAGES:
file_name = f'xwinograd_{lang}.yaml'
try:
with open(f'{output_dir}/{file_name}', 'w' if overwrite else 'x', encoding='utf-8') as f:
f.write('# Generated by utils.py\n')
yaml.dump({'include': 'xwinograd_common_yaml', 'dataset_name': lang, 'task': f'xwinograd_{lang}'}, f)
except FileExistsError:
err.append(file_name)
if len(err) > 0:
raise FileExistsError(f"Files were not created because they already exist (use --overwrite flag): {', '.join(err)}")

def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument('--overwrite', default=False, action='store_true', help='Overwrite files if they already exist')
parser.add_argument('--output-dir', default='.', help='Directory to write yaml files to')
args = parser.parse_args()
gen_lang_yamls(output_dir=args.output_dir, overwrite=args.overwrite)
if __name__ == '__main__':
main()

# File: lm-evaluation-harness-main/lm_eval/utils.py
import collections
import fnmatch
import functools
import hashlib
import importlib.util
import inspect
import json
import logging
import os

def doc_to_text(doc, connector):

conn = connector[doc['question']]

return doc['premise'].strip()[:-1] + f' {conn}'

def doc_to_choice(doc):

return [convert_choice(doc['choice1']), convert_choice(doc['choice2'])]

doc_to_text_et = partial(doc_to_text, connector={'cause': 'sest', 'effect': 'seetõttu'})

doc_to_text_ht = partial(doc_to_text, connector={'cause': 'poukisa', 'effect': 'donk sa'})

doc_to_text_it = partial(doc_to_text, connector={'cause': 'perché', 'effect': 'quindi'})

doc_to_text_id = partial(doc_to_text, connector={'cause': 'karena', 'effect': 'maka'})

doc_to_text_qu = partial(doc_to_text, connector={'cause': 'imataq', 'effect': 'chaymi'})

doc_to_text_sw = partial(doc_to_text, connector={'cause': 'kwa sababu', 'effect': 'kwa hiyo'})

doc_to_text_zh = partial(doc_to_text, connector={'cause': '因为', 'effect': '所以'})

doc_to_text_ta = partial(doc_to_text, connector={'cause': 'காரணமாக', 'effect': 'எனவே'})

doc_to_text_th = partial(doc_to_text, connector={'cause': 'เพราะ', 'effect': 'ดังนั้น'})

doc_to_text_tr = partial(doc_to_text, connector={'cause': 'çünkü', 'effect': 'bu yüzden'})

doc_to_text_vi = partial(doc_to_text, connector={'cause': 'bởi vì', 'effect': 'vì vậy'})

# File: lm-evaluation-harness-main/lm_eval/tasks/xnli/utils.py

import argparse

import yaml

LANGUAGES = {'ar': {'QUESTION_WORD': 'صحيح', 'ENTAILMENT_LABEL': 'نعم', 'NEUTRAL_LABEL': 'لذا', 'CONTRADICTION_LABEL': 'رقم'}, 'bg': {'QUESTION_WORD': 'правилно', 'ENTAILMENT_LABEL': 'да', 'NEUTRAL_LABEL': 'така', 'CONTRADICTION_LABEL': 'не'}, 'de': {'QUESTION_WORD': 'richtig', 'ENTAILMENT_LABEL': 'Ja', 'NEUTRAL_LABEL': 'Auch', 'CONTRADICTION_LABEL': 'Nein'}, 'el': {'QUESTION_WORD': 'σωστός', 'ENTAILMENT_LABEL': 'Ναί', 'NEUTRAL_LABEL': 'Έτσι', 'CONTRADICTION_LABEL': 'όχι'}, 'en': {'QUESTION_WORD': 'right', 'ENTAILMENT_LABEL': 'Yes', 'NEUTRAL_LABEL': 'Also', 'CONTRADICTION_LABEL': 'No'}, 'es': {'QUESTION_WORD': 'correcto', 'ENTAILMENT_LABEL': 'Sí', 'NEUTRAL_LABEL': 'Asi que', 'CONTRADICTION_LABEL': 'No'}, 'fr': {'QUESTION_WORD': 'correct', 'ENTAILMENT_LABEL': 'Oui', 'NEUTRAL_LABEL': 'Aussi', 'CONTRADICTION_LABEL': 'Non'}, 'hi': {'QUESTION_WORD': 'सही', 'ENTAILMENT_LABEL': 'हाँ', 'NEUTRAL_LABEL': 'इसलिए', 'CONTRADICTION_LABEL': 'नहीं'}, 'ru': {'QUESTION_WORD': 'правильно', 'ENTAILMENT_LABEL': 'Да', 'NEUTRAL_LABEL': 'Так', 'CONTRADICTION_LABEL': 'Нет'}, 'sw': {'QUESTION_WORD': 'sahihi', 'ENTAILMENT_LABEL': 'Ndiyo', 'NEUTRAL_LABEL': 'Hivyo', 'CONTRADICTION_LABEL': 'Hapana'}, 'th': {'QUESTION_WORD': 'ถูกต้อง', 'ENTAILMENT_LABEL': 'ใช่', 'NEUTRAL_LABEL': 'ดังนั้น', 'CONTRADICTION_LABEL': 'ไม่'}, 'tr': {'QUESTION_WORD': 'doğru', 'ENTAILMENT_LABEL': 'Evet', 'NEUTRAL_LABEL': 'Böylece', 'CONTRADICTION_LABEL': 'Hayır'}, 'ur': {'QUESTION_WORD': 'صحیح', 'ENTAILMENT_LABEL': 'جی ہاں', 'NEUTRAL_LABEL': 'اس لئے', 'CONTRADICTION_LABEL': 'نہیں'}, 'vi': {'QUESTION_WORD': 'đúng', 'ENTAILMENT_LABEL': 'Vâng', 'NEUTRAL_LABEL': 'Vì vậy', 'CONTRADICTION_LABEL': 'Không'}, 'zh': {'QUESTION_WORD': '正确', 'ENTAILMENT_LABEL': '是的', 'NEUTRAL_LABEL': '所以', 'CONTRADICTION_LABEL': '不是的'}}

def gen_lang_yamls(output_dir: str, overwrite: bool) -> None:

err = []

for lang in LANGUAGES.keys():

file_name = f'xnli_{lang}.yaml'

try:

QUESTION_WORD = LANGUAGES[lang]['QUESTION_WORD']

ENTAILMENT_LABEL = LANGUAGES[lang]['ENTAILMENT_LABEL']

NEUTRAL_LABEL = LANGUAGES[lang]['NEUTRAL_LABEL']

CONTRADICTION_LABEL = LANGUAGES[lang]['CONTRADICTION_LABEL']

with open(f'{output_dir}/{file_name}', 'w' if overwrite else 'x', encoding='utf8') as f:

f.write('# Generated by utils.py\n')

yaml.dump({'include': 'xnli_common_yaml', 'dataset_name': lang, 'task': f'xnli_{lang}', 'doc_to_text': '', 'doc_to_choice': f'{{{{[premise+", {QUESTION_WORD}? {ENTAILMENT_LABEL}, "+hypothesis,premise+", {QUESTION_WORD}? {NEUTRAL_LABEL}, "+hypothesis,premise+", {QUESTION_WORD}? {CONTRADICTION_LABEL}, "+hypothesis]}}}}'}, f, allow_unicode=True)

except FileExistsError:

err.append(file_name)

if len(err) > 0:

raise FileExistsError(f"Files were not created because they already exist (use --overwrite flag): {', '.join(err)}")

def main() -> None:

parser = argparse.ArgumentParser()

parser.add_argument('--overwrite', default=False, action='store_true', help='Overwrite files if they already exist')

parser.add_argument('--output-dir', default='.', help='Directory to write yaml files to')

args = parser.parse_args()

gen_lang_yamls(output_dir=args.output_dir, overwrite=args.overwrite)

if __name__ == '__main__':

main()

# File: lm-evaluation-harness-main/lm_eval/tasks/xwinograd/utils.py

import argparse

from typing import Dict, List

import yaml

LANGUAGES = ['en', 'fr', 'jp', 'pt', 'ru', 'zh']

def doc_to_text(doc: Dict) -> int:

answer_to_num = {'1': 0, '2': 1}

return answer_to_num[doc['answer']]

def doc_to_target(doc: Dict) -> str:

idx = doc['sentence'].index('_') + 1

return doc['sentence'][idx:].strip()

def doc_to_choice(doc: Dict) -> List[str]:

idx = doc['sentence'].index('_')

options = [doc['option1'], doc['option2']]

return [doc['sentence'][:idx] + opt for opt in options]

def gen_lang_yamls(output_dir: str, overwrite: bool) -> None:

err = []

for lang in LANGUAGES:

file_name = f'xwinograd_{lang}.yaml'

try:

with open(f'{output_dir}/{file_name}', 'w' if overwrite else 'x', encoding='utf-8') as f:

f.write('# Generated by utils.py\n')

yaml.dump({'include': 'xwinograd_common_yaml', 'dataset_name': lang, 'task': f'xwinograd_{lang}'}, f)

except FileExistsError:

err.append(file_name)

if len(err) > 0:

raise FileExistsError(f"Files were not created because they already exist (use --overwrite flag): {', '.join(err)}")

def main() -> None:

parser = argparse.ArgumentParser()

parser.add_argument('--overwrite', default=False, action='store_true', help='Overwrite files if they already exist')

parser.add_argument('--output-dir', default='.', help='Directory to write yaml files to')

args = parser.parse_args()

gen_lang_yamls(output_dir=args.output_dir, overwrite=args.overwrite)

if __name__ == '__main__':

main()

# File: lm-evaluation-harness-main/lm_eval/utils.py

import collections

import fnmatch

import functools

import hashlib

import importlib.util

import inspect

import json

import logging

import os