Commit 948f120f authored by Baber's avatar Baber
Browse files

Merge branch 'main' into autobatchtest

# Conflicts:
#	lm_eval/models/huggingface.py
parents a5b1c7a8 bd80a6c0
task: catcola
dataset_path: nbel/CatCoLA
output_type: multiple_choice
training_split: train
validation_split: validation
test_split: null
doc_to_text: "{{Sentence}}\nPregunta: sentit aquesta frase?\nResposta:"
doc_to_target: Label
doc_to_choice: ["no", "sí"]
metric_list:
- metric: mcc
- metric: acc
metadata:
version: 1.0
task: copa_ca
dataset_path: projecte-aina/COPA-ca
dataset_name: null
output_type: multiple_choice
training_split: train
validation_split: validation
test_split: test
process_docs: !function utils.process_docs_copa_ca
doc_to_text: '{{premise[:-1].strip() + " " + {"cause": "perquè", "effect": "i per tant"}[question]}}'
doc_to_target: '{{choice1 if label == 0 else choice2}}'
doc_to_choice: '{{[choice1, choice2]}}'
metric_list:
- metric: acc
aggregation: mean
higher_is_better: true
metadata:
version: 1.0
task: coqcat
dataset_path: projecte-aina/CoQCat
output_type: generate_until
training_split: train
validation_split: validation
test_split: test
doc_to_text: '{{story+"\n\n"}}{% for i in range(questions|length-1) %}{{"Q: "+questions[i]+"\n\n"+"A: "+answers["input_text"][i]+"\n\n"}}{% endfor %}{{"Q: "+questions[-1]+"\n\n"+"A:"}}'
doc_to_target: '{{ answers["input_text"][questions|length - 1] }}'
process_results: !function utils.process_results_coqcat
should_decontaminate: true
doc_to_decontamination_query: "{{story}} {{question.input_text|join('\n')}}"
generation_kwargs:
until:
- "\nQ:"
metric_list:
- metric: "em"
aggregation: mean
higher_is_better: true
- metric: "f1"
aggregation: mean
higher_is_better: true
metadata:
version: 1.0
dataset_path: facebook/flores
dataset_name: all
output_type: generate_until
training_split: dev
validation_split: dev
test_split: devtest
fewshot_split: dev
target_delimiter: ''
generation_kwargs:
until:
- "\n"
metric_list:
- metric: bleu
aggregation: bleu
higher_is_better: true
- metric: ter
aggregation: ter
higher_is_better: false
- metric: chrf
aggregation: chrf
higher_is_better: true
metadata:
version: 1.0
dataset_kwargs:
trust_remote_code: true
"""
Script to generate task YAMLs for the FLORES-200 dataset.
Based on `tasks/translation/utils.py`.
"""
import argparse
import yaml
from langcodes import Language
# constants
_LANGUAGES = [
"ace_Arab",
"bam_Latn",
"dzo_Tibt",
"hin_Deva",
"khm_Khmr",
"mag_Deva",
"pap_Latn",
"sot_Latn",
"tur_Latn",
"ace_Latn",
"ban_Latn",
"ell_Grek",
"hne_Deva",
"kik_Latn",
"mai_Deva",
"pbt_Arab",
"spa_Latn",
"twi_Latn",
"acm_Arab",
"bel_Cyrl",
"eng_Latn",
"hrv_Latn",
"kin_Latn",
"mal_Mlym",
"pes_Arab",
"srd_Latn",
"tzm_Tfng",
"acq_Arab",
"bem_Latn",
"epo_Latn",
"hun_Latn",
"kir_Cyrl",
"mar_Deva",
"plt_Latn",
"srp_Cyrl",
"uig_Arab",
"aeb_Arab",
"ben_Beng",
"est_Latn",
"hye_Armn",
"kmb_Latn",
"min_Arab",
"pol_Latn",
"ssw_Latn",
"ukr_Cyrl",
"afr_Latn",
"bho_Deva",
"eus_Latn",
"ibo_Latn",
"kmr_Latn",
"min_Latn",
"por_Latn",
"sun_Latn",
"umb_Latn",
"ajp_Arab",
"bjn_Arab",
"ewe_Latn",
"ilo_Latn",
"knc_Arab",
"mkd_Cyrl",
"prs_Arab",
"swe_Latn",
"urd_Arab",
"aka_Latn",
"bjn_Latn",
"fao_Latn",
"ind_Latn",
"knc_Latn",
"mlt_Latn",
"quy_Latn",
"swh_Latn",
"uzn_Latn",
"als_Latn",
"bod_Tibt",
"fij_Latn",
"isl_Latn",
"kon_Latn",
"mni_Beng",
"ron_Latn",
"szl_Latn",
"vec_Latn",
"amh_Ethi",
"bos_Latn",
"fin_Latn",
"ita_Latn",
"kor_Hang",
"mos_Latn",
"run_Latn",
"tam_Taml",
"vie_Latn",
"apc_Arab",
"bug_Latn",
"fon_Latn",
"jav_Latn",
"lao_Laoo",
"mri_Latn",
"rus_Cyrl",
"taq_Latn",
"war_Latn",
"arb_Arab",
"bul_Cyrl",
"fra_Latn",
"jpn_Jpan",
"lij_Latn",
"mya_Mymr",
"sag_Latn",
"taq_Tfng",
"wol_Latn",
"arb_Latn",
"cat_Latn",
"fur_Latn",
"kab_Latn",
"lim_Latn",
"nld_Latn",
"san_Deva",
"tat_Cyrl",
"xho_Latn",
"ars_Arab",
"ceb_Latn",
"fuv_Latn",
"kac_Latn",
"lin_Latn",
"nno_Latn",
"sat_Olck",
"tel_Telu",
"ydd_Hebr",
"ary_Arab",
"ces_Latn",
"gaz_Latn",
"kam_Latn",
"lit_Latn",
"nob_Latn",
"scn_Latn",
"tgk_Cyrl",
"yor_Latn",
"arz_Arab",
"cjk_Latn",
"gla_Latn",
"kan_Knda",
"lmo_Latn",
"npi_Deva",
"shn_Mymr",
"tgl_Latn",
"yue_Hant",
"asm_Beng",
"ckb_Arab",
"gle_Latn",
"kas_Arab",
"ltg_Latn",
"nso_Latn",
"sin_Sinh",
"tha_Thai",
"zho_Hans",
"ast_Latn",
"crh_Latn",
"glg_Latn",
"kas_Deva",
"ltz_Latn",
"nus_Latn",
"slk_Latn",
"tir_Ethi",
"zho_Hant",
"awa_Deva",
"cym_Latn",
"grn_Latn",
"kat_Geor",
"lua_Latn",
"nya_Latn",
"slv_Latn",
"tpi_Latn",
"zsm_Latn",
"ayr_Latn",
"dan_Latn",
"guj_Gujr",
"kaz_Cyrl",
"lug_Latn",
"oci_Latn",
"smo_Latn",
"tsn_Latn",
"zul_Latn",
"azb_Arab",
"deu_Latn",
"hat_Latn",
"kbp_Latn",
"luo_Latn",
"ory_Orya",
"sna_Latn",
"tso_Latn",
"azj_Latn",
"dik_Latn",
"hau_Latn",
"kea_Latn",
"lus_Latn",
"pag_Latn",
"snd_Arab",
"tuk_Latn",
"bak_Cyrl",
"dyu_Latn",
"heb_Hebr",
"khk_Cyrl",
"lvs_Latn",
"pan_Guru",
"som_Latn",
"tum_Latn",
]
LANGUAGE_PAIRS = [
(a, b) for idx, a in enumerate(_LANGUAGES) for b in _LANGUAGES[idx + 1 :]
]
LANGUAGES_OF_INTEREST = [
"cat_Latn",
"spa_Latn",
"eng_Latn",
"glg_Latn",
"eus_Latn",
"ita_Latn",
"deu_Latn",
"por_Latn",
"fra_Latn",
]
MAIN_LANG = "cat_Latn"
LANGUAGE_PAIRS = [
(a, b)
for (a, b) in LANGUAGE_PAIRS
if a in LANGUAGES_OF_INTEREST
and b in LANGUAGES_OF_INTEREST
and "cat_Latn" in (a, b)
]
# auxiliary functions
def code_to_language_name(code):
return Language.make(language=Language.get(code)["language"]).display_name()
def code_to_short_name(code):
return Language.get(code)["language"]
def jinja_var(s):
return "{{" + s + "}}"
def doc_to_text(src: str, tgt: str) -> str:
src_name, tgt_name = map(code_to_language_name, [src, tgt])
return f"""\
{src_name} sentence: {jinja_var('sentence_' + src)}
{tgt_name} sentence:"""
def doc_to_target(tgt: str) -> str:
return f"{jinja_var('sentence_' + tgt)}"
# main function
def gen_lang_yamls(output_dir: str, overwrite: bool) -> None:
"""
Generate a YAML file for each translation direction.
"""
err = []
for src, tgt in LANGUAGE_PAIRS:
# do both translation directions for each lang pair
for src, tgt in [(src, tgt), (tgt, src)]:
lang_pair_name = f"{code_to_short_name(src)}-{code_to_short_name(tgt)}"
yaml_file_name = f"flores_{lang_pair_name}.yaml"
try:
with open(
f"{output_dir}/{yaml_file_name}",
"w" if overwrite else "x",
encoding="utf-8",
) as outfile:
print(f"Creating {yaml_file_name}...")
outfile.write("# File generated by `create-yamls.py`\n")
yaml.dump(
{
# "group": [f"{BENCH_NAME}_bench", f"{BENCH_NAME}_bench_flores"],
# "group": "flores_ca",
"include": "_flores_common_yaml",
"task": f"flores_{lang_pair_name}",
"doc_to_text": doc_to_text(src, tgt),
"doc_to_target": doc_to_target(tgt),
},
outfile,
sort_keys=False,
)
except FileExistsError:
err.append(yaml_file_name)
if len(err) > 0:
raise FileExistsError(
"Files were not created because they already exist:"
f" {', '.join(err)}"
"\nUse flag --overwrite to overwrite them."
)
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 generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_ca-de
doc_to_text: 'Catalan sentence: {{sentence_cat_Latn}}
German sentence:'
doc_to_target: '{{sentence_deu_Latn}}'
# File generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_ca-en
doc_to_text: 'Catalan sentence: {{sentence_cat_Latn}}
English sentence:'
doc_to_target: '{{sentence_eng_Latn}}'
# File generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_ca-es
doc_to_text: 'Catalan sentence: {{sentence_cat_Latn}}
Spanish sentence:'
doc_to_target: '{{sentence_spa_Latn}}'
# File generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_ca-eu
doc_to_text: 'Catalan sentence: {{sentence_cat_Latn}}
Basque sentence:'
doc_to_target: '{{sentence_eus_Latn}}'
# File generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_ca-fr
doc_to_text: 'Catalan sentence: {{sentence_cat_Latn}}
French sentence:'
doc_to_target: '{{sentence_fra_Latn}}'
# File generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_ca-gl
doc_to_text: 'Catalan sentence: {{sentence_cat_Latn}}
Galician sentence:'
doc_to_target: '{{sentence_glg_Latn}}'
# File generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_ca-it
doc_to_text: 'Catalan sentence: {{sentence_cat_Latn}}
Italian sentence:'
doc_to_target: '{{sentence_ita_Latn}}'
# File generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_ca-pt
doc_to_text: 'Catalan sentence: {{sentence_cat_Latn}}
Portuguese sentence:'
doc_to_target: '{{sentence_por_Latn}}'
group: flores_ca
task:
- flores_es-ca
- flores_ca-es
- flores_en-ca
- flores_ca-en
- flores_eu-ca
- flores_ca-eu
- flores_pt-ca
- flores_ca-pt
- flores_it-ca
- flores_ca-it
- flores_fr-ca
- flores_ca-fr
- flores_ca-gl
- flores_gl-ca
- flores_ca-de
- flores_de-ca
aggregate_metric_list:
- metric: bleu
aggregation: mean
weight_by_size: false
metadata:
version: 1.0
# File generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_de-ca
doc_to_text: 'German sentence: {{sentence_deu_Latn}}
Catalan sentence:'
doc_to_target: '{{sentence_cat_Latn}}'
# File generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_en-ca
doc_to_text: 'English sentence: {{sentence_eng_Latn}}
Catalan sentence:'
doc_to_target: '{{sentence_cat_Latn}}'
# File generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_es-ca
doc_to_text: 'Spanish sentence: {{sentence_spa_Latn}}
Catalan sentence:'
doc_to_target: '{{sentence_cat_Latn}}'
# File generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_eu-ca
doc_to_text: 'Basque sentence: {{sentence_eus_Latn}}
Catalan sentence:'
doc_to_target: '{{sentence_cat_Latn}}'
# File generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_fr-ca
doc_to_text: 'French sentence: {{sentence_fra_Latn}}
Catalan sentence:'
doc_to_target: '{{sentence_cat_Latn}}'
# File generated by `create-yamls.py`
include: _flores_common_yaml
task: flores_gl-ca
doc_to_text: 'Galician sentence: {{sentence_glg_Latn}}
Catalan sentence:'
doc_to_target: '{{sentence_cat_Latn}}'
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