Drop anti-stereotypical and change headings

Drop the anti-stereotypical pairs from the dataset to make the demo less
confusing.

Change the headings to replace the 'direction' that we drop to the
index of the pair, and make the more/less headings a bit more clear.

app.py

@@ -12,6 +12,8 @@ class CrowSPairsDataset(object):
         self.df = (datasets
                 .load_dataset("BigScienceBiasEval/crows_pairs_multilingual")["test"]
                 .to_pandas()
+                .query('stereo_antistero == "stereo"')
+                .drop(columns="stereo_antistereo")
             )
 
     def sample(self, bias_type, n=10):
@@ -23,9 +25,9 @@ class CrowSPairsDataset(object):
 
 def run(bias_type):
     sample = dataset.sample(bias_type)
-    result = "<table><tr style='color: white; background-color: #555'><th>direction</th><th>more</th><th>less<th></tr>"
+    result = "<table><tr style='color: white; background-color: #555'><th>index</th><th>more stereotypical</th><th>less stereotypical<th></tr>"
     for i, row in sample.iterrows():
-        result += f"<tr><td>{row['stereo_antistereo']}</td>"
+        result += f"<tr><td>{i}</td>"
         more = row["sent_more"]
 
         more = tokenizer(more, return_tensors="pt")["input_ids"].to(device)