Datasets:

LabHC
/

moji

@@ -13,10 +13,10 @@ dataset_info:
     dtype: int64
   splits:
   - name: train
-    num_bytes: 178653084
-    num_examples: 2241376
-  download_size: 91283989
-  dataset_size: 178653084
 ---
 The Moji dataset (Blodgett et al., 2016) (http://slanglab.cs.umass.edu/TwitterAAE/) contains tweets used for sentiment analysis (either positive or negative sentiment), with additional information on the type of English used in the tweets which is a sensitive attribute considered in fairness-aware approaches (African-American English (AAE) or Standard-American English (SAE)).

     dtype: int64
   splits:
   - name: train
+    num_bytes: 95774165
+    num_examples: 1194703
+  download_size: 48721646
+  dataset_size: 95774165
 ---
 The Moji dataset (Blodgett et al., 2016) (http://slanglab.cs.umass.edu/TwitterAAE/) contains tweets used for sentiment analysis (either positive or negative sentiment), with additional information on the type of English used in the tweets which is a sensitive attribute considered in fairness-aware approaches (African-American English (AAE) or Standard-American English (SAE)).