Add my new, shiny module.

llm_harness_mistral_arc.py

@@ -27,14 +27,7 @@ class llm_harness_mistral_arc(evaluate.Metric):
             citation=_CITATION,
             inputs_description=_KWARGS_DESCRIPTION,
             # This defines the format of each prediction and reference
-            features=[
-                datasets.Features(
-                    {
-                        "pretrained": datasets.Value("string", id="sequence"),
-                        "tasks": datasets.Sequence(datasets.Value("string", id="sequence"), id="references"),
-                    }
-                )
-            ],
+            features=None,
             # Homepage of the module for documentation
             homepage="http://module.homepage",
             # Additional links to the codebase or references
@@ -42,7 +35,7 @@ class llm_harness_mistral_arc(evaluate.Metric):
             reference_urls=["http://path.to.reference.url/new_module"]
         )
 
-    def _compute(self, pretrained, tasks):
+    def _compute(self, pretrained=None, tasks=[]):
         outputs = lm_eval.simple_evaluate( 
               model="hf",
               model_args={"pretrained":pretrained},