fixed sample code, data_labels => ids

Author: TakaakiFuruse

README.md

@@ -113,7 +113,7 @@ num_elements = 10000
 
 # Generating sample data
 data = np.float32(np.random.random((num_elements, dim)))
-data_labels = np.arange(num_elements)
+ids = np.arange(num_elements)
 
 # Declaring index
 p = hnswlib.Index(space = 'l2', dim = dim) # possible options are l2, cosine or ip
@@ -122,7 +122,7 @@ p = hnswlib.Index(space = 'l2', dim = dim) # possible options are l2, cosine or
 p.init_index(max_elements = num_elements, ef_construction = 200, M = 16)
 
 # Element insertion (can be called several times):
-p.add_items(data, data_labels)
+p.add_items(data, ids)
 
 # Controlling the recall by setting ef:
 p.set_ef(50) # ef should always be > k