from typing import Literal AGG_SCORE_METRICS_TYPE = Literal["agg_score_metrics", "agg_score_metrics_prob_raw", "agg_score_metrics_acc"] agg_score_metrics_dict_prob = { "ar": [ 'custom|alghafa:mcq_exams_test_ar|0/prob_norm_token', 'custom|alghafa:meta_ar_msa|0/prob_norm', 'custom|alghafa:multiple_choice_grounded_statement_soqal_task|0/prob_norm_token', 'custom|arabic_mmlu_native:_average|0/prob_norm_pmi', 'custom|arc_easy_ar|0/prob_norm_token', 'custom|hellaswag-ar|0/prob_norm_token', 'custom|mlqa-ar|0/qa_ar_f1', 'custom|piqa_ar|0/prob_norm_token', 'custom|race_ar|0/prob_norm_token', 'custom|sciq_ar|0/prob_norm_token', 'custom|tydiqa-ar|0/qa_ar_f1', 'custom|x-codah-ar|0/prob_norm_token', 'custom|x-csqa-ar|0/prob_norm_pmi', 'custom|xnli-2.0-bool-v2-ar|0/prob', 'custom|arcd|0/qa_ar_f1', 'custom|xstory_cloze-ar|0/prob_norm_token' ], "fr": [ 'custom|belebele-fr|0/prob_norm_token', 'custom|fquadv2|0/qa_fr_f1', 'custom|french-hellaswag|0/prob_norm_token', 'custom|mintaka-fr|0/qa_fr_f1', 'custom|meta_mmlu-fr:_average|0/prob_norm_pmi', 'custom|x-codah-fr|0/prob_norm_token', 'custom|x-csqa-fr|0/prob_norm_pmi', 'custom|xnli-2.0-bool-v2-fr|0/prob', 'custom|arc-fr|0/prob_norm_pmi' ], "hi": [ 'custom|belebele-hi|0/prob_norm_token', 'custom|hellaswag-hi|0/prob_norm_token', 'custom|hi-arc:easy|0/arc_norm_token', 'custom|indicqa.hi|0/qa_hi_f1', 'custom|meta_mmlu-hi:_average|0/prob_norm_pmi', 'custom|x-codah-hi|0/prob_norm_token', 'custom|x-csqa-hi|0/prob_norm_pmi', 'custom|xcopa-hi|0/prob_norm_token', 'custom|indicnxnli-hi-bool-v2-hi|0/prob_norm_token', 'custom|xstory_cloze-hi|0/prob_norm_token' ], "ru": [ 'custom|arc-ru|0/prob_norm_pmi', 'custom|belebele-ru|0/prob_norm_token', 'custom|hellaswag-ru|0/prob_norm_token', 'custom|parus|0/prob_norm_token', 'custom|rummlu:_average|0/prob_norm_pmi', 'custom|ruopenbookqa|0/prob_norm_token', 'custom|tydiqa-ru|0/qa_ru_f1', 'custom|x-codah-ru|0/prob_norm_token', 'custom|x-csqa-ru|0/prob_norm_pmi', 'custom|xnli-2.0-bool-v2-ru|0/prob', 'custom|sber_squad|0/qa_ru_f1', 'custom|xstory_cloze-ru|0/prob_norm_token', 'custom|xquad-ru|0/qa_ru_f1' ], "sw": [ 'custom|belebele-sw|0/prob_norm_token', 'custom|arc-sw:easy|0/prob_norm_token', 'custom|kenswquad|0/qa_sw_f1', 'custom|tydiqa-sw|0/qa_sw_f1', 'custom|m3exam-sw|0/prob_norm_token', 'custom|x-csqa-sw|0/prob_norm_pmi', 'custom|xcopa-sw|0/prob_norm_token', 'custom|xnli-2.0-bool-v2-sw|0/prob_norm', 'custom|xstory_cloze-sw|0/prob_norm_token' ], "te": [ 'custom|belebele-te|0/prob_norm_token', 'custom|custom_hellaswag-te|0/prob_norm_token', 'custom|indicqa.te|0/qa_te_f1', 'custom|mmlu-te:_average|0/prob_norm_token', 'custom|indicnxnli-te-bool-v2-te|0/prob_norm_token', 'custom|xcopa-te|0/prob_norm_token', 'custom|xstory_cloze-te|0/prob_norm_token' ], "th": [ 'custom|belebele-th|0/prob_norm_token', 'custom|m3exam-th|0/prob_norm_token', 'custom|meta_mmlu-th:_average|0/prob_norm_pmi', 'custom|xnli-2.0-bool-v2-th|0/prob', 'custom|custom_hellaswag-th|0/prob_norm_token', 'custom|thaiqa|0/qa_th_f1', 'custom|xquad-th|0/qa_th_f1', ], "tr": [ 'custom|arc-v2-tr|0/prob_norm', 'custom|belebele-tr|0/prob_norm', 'custom|exams-tr:_average|0/prob_norm', 'custom|hellaswag-tr|0/prob_norm', 'custom|mmlu-tr:_average|0/prob_norm_pmi', 'custom|tqduad2|0/qa_tr_f1', 'custom|xcopa-tr|0/prob_norm', 'custom|xnli-2.0-bool-v2-tr|0/prob', 'custom|xquad-tr|0/qa_tr_f1' ], "zh": [ 'custom|agieval_NEW_LINE:_average|0/prob_norm_pmi', 'custom|belebele-zh|0/prob_norm_token', 'custom|c3|0/prob_norm_token', 'custom|ceval_NEW_LINE:_average|0/prob_norm_token', 'custom|cmmlu:_average|0/prob_norm_token', 'custom|cmrc|0/qa_zh_f1', 'custom|hellaswag-zh|0/prob_norm_token', 'custom|m3exam-zh|0/prob_norm_token', 'custom|mlqa-zh|0/qa_zh_f1', 'custom|x-codah-zh|0/prob_norm_token', 'custom|x-csqa-zh|0/prob_norm_pmi', 'custom|xcopa-zh|0/prob_norm_token', 'custom|ocnli-bool-v2-zh|0/prob', 'custom|chinese-squad|0/qa_zh_f1', 'custom|xstory_cloze-zh|0/prob_norm_token', 'custom|xwinograd-zh|0/prob_norm_token' ] } def transform_for_prob_raw(metric: str): # The pmi can't be used for unormalized probabilities # Secondly the acc_norm_token is better in terms of monotonicity for this evaluation metric splitted_metric = metric.split("/") # If it's generative metric we don't do anything if not "prob" in splitted_metric[-1]: return metric return "/".join(splitted_metric[:-1] + ["prob_raw_norm_token"]) agg_score_metrics_dict_prob_raw = { lang: [transform_for_prob_raw(metric) for metric in metrics] for lang, metrics in agg_score_metrics_dict_prob.items() } agg_score_metrics_dict_acc = { lang: [metric.replace("/prob", "/acc") for metric in metrics] for lang, metrics in agg_score_metrics_dict_prob.items() } agg_score_metrics_dict_both = { lang: agg_score_metrics_dict_prob[lang] + agg_score_metrics_dict_acc[lang] for lang in agg_score_metrics_dict_prob.keys() } agg_score_metrics = { "prob": agg_score_metrics_dict_prob, "prob_raw": agg_score_metrics_dict_prob_raw, "acc": agg_score_metrics_dict_acc, "both": agg_score_metrics_dict_both } # Allow to override default groupping behaviour for aggregate tasks # The key is the task name and value is the list of tasks to use for the average custom_task_aggregate_groups = { 'custom|agieval_NEW_LINE': [ 'gaokao-biology', 'gaokao-chemistry', 'gaokao-chinese', 'gaokao-geography', 'gaokao-history', 'gaokao-physics', 'jec-qa-ca', 'jec-qa-kd', 'logiqa-zh' ] } def is_agg_score_col(col: str, agg_score_type: AGG_SCORE_METRICS_TYPE, lang: str): metric_name = col if agg_score_type == "agg_score_metrics_prob_raw": return metric_name in agg_score_metrics_dict_prob_raw.get(lang, []) elif agg_score_type == "agg_score_metrics_acc": return metric_name in agg_score_metrics_dict_acc.get(lang, []) return agg_score_metrics_dict_prob.get(lang, []) # agg_score_metrics = { # "ar": [ # 'custom|alghafa:mcq_exams_test_ar|0/acc_norm_token', # 'custom|alghafa:meta_ar_msa|0/acc_norm', # 'custom|alghafa:multiple_choice_grounded_statement_soqal_task|0/acc_norm_token', # 'custom|arabic_mmlu_native:_average|0/acc_norm_pmi', # 'custom|arc_easy_ar|0/acc_norm_token', # 'custom|hellaswag-ar|0/acc_norm_token', # 'custom|mlqa-ar|0/qa_ar_f1', # 'custom|piqa_ar|0/acc_norm_token', # 'custom|race_ar|0/acc_norm_token', # 'custom|sciq_ar|0/acc_norm_token', # 'custom|tydiqa-ar|0/qa_ar_f1', # 'custom|x-codah-ar|0/acc_norm_token', # 'custom|x-csqa-ar|0/acc_norm_pmi', # 'custom|xnli-2.0-bool-v2-ar|0/acc', # 'custom|arcd|0/qa_ar_f1', # 'custom|xstory_cloze-ar|0/acc_norm_token' # ], # "fr": [ # 'custom|belebele-fr|0/acc_norm_token', # 'custom|fquadv2|0/qa_fr_f1', # 'custom|french-hellaswag|0/acc_norm_token', # 'custom|mintaka-fr|0/qa_fr_f1', # 'custom|meta_mmlu-fr:_average|0/acc_norm_pmi', # 'custom|pawns-v2-fr|0/acc', # 'custom|x-codah-fr|0/acc_norm_token', # 'custom|x-csqa-fr|0/acc_norm_pmi', # 'custom|xnli-2.0-bool-v2-fr|0/acc', # 'custom|arc-fr|0/acc_norm_pmi' # ], # "hi": [ # 'custom|belebele-hi|0/acc_norm_token', # 'custom|hellaswag-hi|0/acc_norm_token', # 'custom|hi-arc:easy|0/arc_norm_token', # 'custom|indicqa.hi|0/qa_hi_f1', # 'custom|meta_mmlu-hi:_average|0/acc_norm_pmi', # 'custom|x-codah-hi|0/acc_norm_token', # 'custom|x-csqa-hi|0/acc_norm_pmi', # 'custom|xcopa-hi|0/acc_norm_token', # 'custom|indicnxnli-hi-bool-v2-hi|0/acc_norm_token', # 'custom|xstory_cloze-hi|0/acc_norm_token' # ], # "ru": [ # 'custom|arc-ru|0/acc_norm_pmi', # 'custom|belebele-ru|0/acc_norm_token', # 'custom|hellaswag-ru|0/acc_norm_token', # 'custom|parus|0/acc_norm_token', # 'custom|rummlu:_average|0/acc_norm_pmi', # 'custom|ruopenbookqa|0/acc_norm_token', # 'custom|tydiqa-ru|0/qa_ru_f1', # 'custom|x-codah-ru|0/acc_norm_token', # 'custom|x-csqa-ru|0/acc_norm_pmi', # 'custom|xnli-2.0-bool-v2-ru|0/acc', # 'custom|sber_squad|0/qa_ru_f1', # 'custom|xstory_cloze-ru|0/acc_norm_token', # 'custom|xquad-ru|0/qa_ru_f1' # ], # "sw": [ # 'custom|belebele-sw|0/acc_norm_token', # 'custom|arc-sw:easy|0/acc_norm_token', # 'custom|kenswquad|0/qa_sw_f1', # 'custom|tydiqa-sw|0/qa_sw_f1', # 'custom|m3exam-sw|0/acc_norm_token', # 'custom|x-csqa-sw|0/acc_norm_pmi', # 'custom|xcopa-sw|0/acc_norm_token', # 'custom|xnli-2.0-bool-v2-sw|0/acc_norm', # 'custom|xstory_cloze-sw|0/acc_norm_token' # ], # "te": [ # 'custom|belebele-te|0/acc_norm_token', # 'custom|custom_hellaswag-te|0/acc_norm_token', # 'custom|indicqa.te|0/qa_te_f1', # 'custom|mmlu-te:_average|0/acc_norm_token', # 'custom|indicnxnli-te-bool-v2-te|0/acc_norm_token', # 'custom|xcopa-te|0/acc_norm_token', # 'custom|xstory_cloze-te|0/acc_norm_token' # ], # "th": [ # 'custom|belebele-th|0/acc_norm_token', # 'custom|m3exam-th|0/acc_norm_token', # 'custom|meta_mmlu-th:_average|0/acc_norm_pmi', # 'custom|xnli-2.0-bool-v2-th|0/acc', # 'custom|custom_hellaswag-th|0/acc_norm_token', # 'custom|thaiqa|0/qa_th_f1', # 'custom|xquad-th|0/qa_th_f1', # 'custom|thai-exams:tgat|0/acc_norm_token' # ], # "tr": [ # 'custom|arc-v2-tr|0/acc_norm', # 'custom|belebele-tr|0/acc_norm', # 'custom|exams-tr:_average|0/acc_norm', # 'custom|hellaswag-tr|0/acc_norm', # 'custom|mmlu-tr:_average|0/acc_norm_pmi', # 'custom|tqduad2|0/qa_tr_f1', # 'custom|xcopa-tr|0/acc_norm', # 'custom|xnli-2.0-bool-v2-tr|0/acc', # 'custom|xquad-tr|0/qa_tr_f1' # ], # "zh": [ # 'custom|agieval_NEW_LINE:_average|0/acc_norm_pmi', # 'custom|belebele-zh|0/acc_norm_token', # 'custom|c3|0/acc_norm_token', # 'custom|ceval_NEW_LINE:_average|0/acc_norm_token', # 'custom|cmmlu:_average|0/acc_norm_token', # 'custom|cmrc|0/qa_zh_f1', # 'custom|hellaswag-zh|0/acc_norm_token', # 'custom|m3exam-zh|0/acc_norm_token', # 'custom|mlqa-zh|0/qa_zh_f1', # 'custom|x-codah-zh|0/acc_norm_token', # 'custom|x-csqa-zh|0/acc_norm_pmi', # 'custom|xcopa-zh|0/acc_norm_token', # 'custom|ocnli-bool-v2-zh|0/acc', # 'custom|chinese-squad|0/qa_zh_f1', # 'custom|xstory_cloze-zh|0/acc_norm_token', # 'custom|xwinograd-zh|0/acc_norm_token' # ] # }