fixed fewshot prompt by filling [mask]

lm_eval/tasks/xnli.py

@@ -18,6 +18,7 @@ Homepage: https://github.com/facebookresearch/XNLI
 import numpy as np
 from lm_eval.base import rf, Task
 from lm_eval.metrics import mean
+from lm_eval import utils
 
 _CITATIONS = """
 @InProceedings{conneau2018xnli,
@@ -89,6 +90,11 @@ class XNLIBase(Task):
             ]
         )
 
+    def doc_to_fewshot_prompt(self, doc):
+
+        prompt = self.doc_to_text(doc)
+        return prompt.replace("[MASK]", self.doc_to_target(doc)[1:])
+
     def construct_requests(self, doc, ctx):
         """Uses RequestFactory to construct Requests and returns an iterable of
         Requests which will be sent to the LM.
@@ -138,6 +144,76 @@ class XNLIBase(Task):
         """
         return {"acc": True}
 
+    @utils.positional_deprecated
+    def fewshot_context(
+        self, doc, num_fewshot, provide_description=None, rnd=None, description=None
+    ):
+        """Returns a fewshot context string that is made up of a prepended description
+        (if provided), the `num_fewshot` number of examples, and an appended prompt example.
+
+        :param doc: str
+            The document as returned from training_docs, validation_docs, or test_docs.
+        :param num_fewshot: int
+            The number of fewshot examples to provide in the returned context string.
+        :param provide_description: bool
+            Not implemented, and this option is deprecated and will be removed in a future version in favor of a different description providing method
+        :param rnd: random.Random
+            The pseudo-random number generator used to randomly sample examples.
+            WARNING: This is currently a required arg although it's optionalized with a default `None`.
+        :param description: str
+            The task's description that will be prepended to the fewshot examples.
+        :returns: str
+            The fewshot context.
+        """
+        assert (
+            rnd is not None
+        ), "A `random.Random` generator argument must be provided to `rnd`"
+        assert not provide_description, (
+            "The `provide_description` arg will be removed in future versions. To prepend "
+            "a custom description to the context, supply the corresponding string via the "
+            "`description` arg."
+        )
+        if provide_description is not None:
+            # nudge people to not specify it at all
+            print(
+                "WARNING: provide_description is deprecated and will be removed in a future version in favor of description_dict"
+            )
+
+        description = description + "\n\n" if description else ""
+
+        if num_fewshot == 0:
+            labeled_examples = ""
+        else:
+            # for sets with no training docs, draw from other set *but ensure no overlap with current doc*
+            if self.has_training_docs():
+                fewshotex = self.fewshot_examples(k=num_fewshot, rnd=rnd)
+            else:
+                if self._fewshot_docs is None:
+                    self._fewshot_docs = list(
+                        self.validation_docs()
+                        if self.has_validation_docs()
+                        else self.test_docs()
+                    )
+
+                fewshotex = rnd.sample(self._fewshot_docs, num_fewshot + 1)
+
+                # get rid of the doc that's the one we're evaluating, if it's in the fewshot
+                fewshotex = [x for x in fewshotex if x != doc][:num_fewshot]
+
+            labeled_examples = (
+                "\n\n".join(
+                    [
+                        # self.doc_to_text(doc) + self.doc_to_target(doc)
+                        self.doc_to_fewshot_prompt(doc)
+                        for doc in fewshotex
+                    ]
+                )
+                + "\n\n"
+            )
+
+        example = self.doc_to_text(doc)
+        return description + labeled_examples + example
+
 
 class XNLI_en(XNLIBase):  # English
     DATASET_NAME = "en"