Add counts

app.py

@@ -735,7 +735,7 @@ DATA_STS = get_mteb_data(["STS"])
 NUM_SCORES = 0
 DATASETS = []
 # LANGUAGES = []
-for d in [DATA_BITEXT_MINING, DATA_BITEXT_MINING_OTHER, DATA_CLASSIFICATION_EN, DATA_CLASSIFICATION_DA, DATA_CLASSIFICATION_NB, DATA_CLASSIFICATION_SV, DATA_CLASSIFICATION_OTHER, DATA_CLUSTERING, DATA_CLUSTERING_GERMAN, DATA_PAIR_CLASSIFICATION, DATA_RERANKING, DATA_RETRIEVAL, DATA_STS, DATA_SUMMARIZATION]:
+for d in [DATA_BITEXT_MINING, DATA_BITEXT_MINING_OTHER, DATA_CLASSIFICATION_EN, DATA_CLASSIFICATION_DA, DATA_CLASSIFICATION_NB, DATA_CLASSIFICATION_SV, DATA_CLASSIFICATION_OTHER, DATA_CLUSTERING, DATA_CLUSTERING_GERMAN, DATA_PAIR_CLASSIFICATION, DATA_RERANKING, DATA_RETRIEVAL, DATA_STS_EN, DATA_STS, DATA_SUMMARIZATION]:
     # NUM_SCORES += d.iloc[:, 1:].apply(lambda x: sum([1 for y in x if isinstance(y, float) and not np.isnan(y)]), axis=1).sum()
     cols_to_ignore = 3 if "Average" in d.columns else 2
     # Count number of scores including only non-nan floats & excluding the rank column