remove margin from _info

triplet_margin_loss.py

@@ -38,7 +38,7 @@ Returns:
     triplet_margin_loss (`float`): Total loss.
 Examples:
     Example 1-A simple example
-        >>> triplet_margin_loss = evaluate.load("triplet_margin_loss")
+        >>> triplet_margin_loss = evaluate.load("theAIguy/triplet_margin_loss")
         >>> results = triplet_margin_loss.compute(
             anchor=[-0.4765, 1.7133, 1.3971, -1.0121, 0.0732], 
             positive=[0.9218, 0.6305, 0.3381, 0.1412, 0.2607], 
@@ -46,7 +46,7 @@ Examples:
         >>> print(results)
         {'triplet_margin_loss': 1.59}
     Example 2-The same as Example 1, except with `margin` set to `2.0`.
-        >>> triplet_margin_loss = evaluate.load("triplet_margin_loss")
+        >>> triplet_margin_loss = evaluate.load("theAIguy/triplet_margin_loss")
         >>> results = triplet_margin_loss.compute(
             anchor=[-0.4765, 1.7133, 1.3971, -1.0121, 0.0732], 
             positive=[0.9218, 0.6305, 0.3381, 0.1412, 0.2607], 
@@ -88,10 +88,9 @@ class TripletMarginLoss(evaluate.EvaluationModule):
             inputs_description=_KWARGS_DESCRIPTION,
             features=datasets.Features(
                 {
-                    "anchor": datasets.Sequence(datasets.Value("float"), id="reference"),
-                    "positive": datasets.Sequence(datasets.Value("float"), id="sequence"),
-                    "negative": datasets.Sequence(datasets.Value("float"), id="sequence"),
-                    "margin": datasets.Value("float")
+                    "anchor": datasets.Sequence(datasets.Value("float")),
+                    "positive": datasets.Sequence(datasets.Value("float")),
+                    "negative": datasets.Sequence(datasets.Value("float"))
                 }
             ),
             reference_urls=["https://proceedings.neurips.cc/paper/2003/hash/d3b1fb02964aa64e257f9f26a31f72cf-Abstract.html"],