MTEB-lite: named reference models (models.csv), per-task calibration (calibration.csv), eng (v2) + eng-super (v3 selection with 46 reference models)
ac198e3 verified | {"task": "STS22.v2", "type": "STS", "main_score": "cosine_spearman", "eval_split": "test", "hf_subsets": ["en"], "dataset": {"path": "mteb/sts22-crosslingual-sts", "revision": "d31f33a128469b20e357535c39b82fb3c3f6f2bd"}, "K": 100, "ids": ["s0", "s1", "s4", "s5", "s7", "s11", "s14", "s18", "s23", "s24", "s27", "s28", "s29", "s31", "s32", "s33", "s34", "s35", "s38", "s40", "s43", "s44", "s45", "s46", "s50", "s53", "s54", "s55", "s57", "s61", "s62", "s64", "s66", "s67", "s68", "s71", "s72", "s73", "s75", "s76", "s78", "s81", "s82", "s83", "s84", "s85", "s90", "s91", "s96", "s97", "s100", "s102", "s103", "s104", "s105", "s107", "s109", "s110", "s112", "s113", "s114", "s116", "s119", "s126", "s127", "s132", "s134", "s135", "s136", "s138", "s143", "s144", "s145", "s146", "s147", "s148", "s150", "s151", "s152", "s153", "s156", "s158", "s160", "s161", "s162", "s163", "s166", "s170", "s171", "s172", "s173", "s175", "s176", "s178", "s183", "s185", "s186", "s187", "s193", "s194"], "estimator": "set_metric", "calibration": {"a": 0.39558564411520386, "b": 0.6778900691097075, "n_fit": 22, "fit_r": 0.8162096447003683, "fit_resid_sd": 0.012950219596595033}, "item_key": "cos", "benchmark": "MTEB(eng, v2)"} |