Update README.md

README.md

@@ -7868,6 +7868,20 @@ configs:
   data_files:
   - split: label
     path: zu/label-*
+task_categories:
+- translation
+- text2text-generation
+language:
+- en
+- fr
+- de
+- ja
+- zh
+- hi
+- ar
+- bn
+- ru
+- es
 ---
 
 Entity label data extracted from Wikidata (wikidata-20220103-all.json.gz), filtered for item entities only  
@@ -7879,7 +7893,7 @@ You can generate parallel text examples from this dataset like below:
 from datasets import load_dataset
 import pandas as pd
 
-def get_lang_pair(lang_codes: list, how="inner", repo_id="rayliuca/wikidata_entity_label", merge_config={}, datasets_config={}) -> pd.DataFrame:
+def parallel_labels(lang_codes: list, how="inner", repo_id="rayliuca/wikidata_entity_label", merge_config={}, datasets_config={}) -> pd.DataFrame:
     out_df = None
     for lc in lang_codes:
         dataset = load_dataset(repo_id, lc, **datasets_config)
@@ -7895,5 +7909,6 @@ def get_lang_pair(lang_codes: list, how="inner", repo_id="rayliuca/wikidata_enti
                 )
     return out_df
 
-get_lang_pair(['en', 'fr', 'ja', 'zh'])
-```
+# Note: the "en" subset is >4GB
+parallel_labels(['en', 'fr', 'ja', 'zh'])
+```