Update README.md

README.md

@@ -65,6 +65,30 @@ Therefore, we use the code below to load meta info which contains the vocabulary
  'timestamp2idx': {'name': [...], 'id': [...]},
 ```
 
+Since the ids in the vocabulary are already sorted, we directly decode to access the name text:
+
+```python
+>>> query
+[1426, 115, 28]
+>>> args
+['e1', 'r1', 't1']
+>>> for idx, arg_type in zip(query, args):
+        if arg_type.startswith('e') or arg_type.startswith('s') or arg_type.startswith('o'):  # s, o, e1, e2, ...
+            print(idx, meta_info['entity2idx']['name'][idx])
+        elif arg_type.startswith('r'):  # r, r1, r2, ...
+            print(idx, meta_info['relation2idx']['name'][idx])
+        elif arg_type.startswith('t'):  # t, t1, t2, ...
+            print(idx, meta_info['timestamp2idx']['name'][idx])
+```
+
+Besides, we also provide query-type-specific subparts.
+
+```python
+>>> dataset = load_dataset("linxy/ICEWS14", "e2i")
+>>> some_datasets = [load_dataset("linxy/ICEWS14", query_name) for query_name in meta_info['query_meta']['query_name']]
+```
+
+Help yourself!
 
 <details>
   <summary>👈 🔎 Dataset statistics: queries_count</summary>