Add lang

results.py

@@ -168,6 +168,7 @@ class MTEBResults(datasets.GeneratorBasedBuilder):
             features=datasets.Features(
                 {
                     "mteb_dataset_name": datasets.Value("string"),
+                    "eval_language": datasets.Value("string"),
                     "metric": datasets.Value("string"),
                     "score": datasets.Value("float"),
                 }
@@ -210,7 +211,6 @@ class MTEBResults(datasets.GeneratorBasedBuilder):
                 langs = res_dict.keys() if is_multilingual else ["en"]
                 for lang in langs:
                     if lang in SKIP_KEYS: continue
-                    ds_name += f" ({lang})" if is_multilingual else ""
                     test_result_lang = res_dict.get(lang) if is_multilingual else res_dict
                     for (metric, score) in test_result_lang.items():
                         if not isinstance(score, dict):
@@ -219,6 +219,7 @@ class MTEBResults(datasets.GeneratorBasedBuilder):
                             if any([x in sub_metric for x in SKIP_KEYS]): continue
                             out.append({
                                 "mteb_dataset_name": ds_name,
+                                "eval_language": lang if is_multilingual else "",
                                 "metric": f"{metric}_{sub_metric}" if metric != sub_metric else metric,
                                 "score": sub_score * 100,
                             })