add repr method for Rule, Dataset.

src/argilla/client/datasets.py

@@ -656,6 +656,21 @@ def prepare_for_training(self) -> "datasets.Dataset":
             ds_dict, features=datasets.Features(feature_dict)
         )
 
+    def __repr__(self):
+        header_string = (
+            f"{''.ljust(4)}\t{'text'.ljust(30)}\t{'annotation'}\t{'prediction'}"
+        )
+        repr_list = [
+            f"{str(i).ljust(4)}\t{rec.text[:30].ljust(30)}\t{str(rec.annotation).ljust(10)}\t{str(rec.prediction).ljust(10)}"
+            for i, rec in enumerate(self._records[:5])
+        ]
+        record_string = "\n".join(repr_list)
+        count_string = f"{len(self._records)} TextClassificationRecord records"
+        return "\n".join([header_string, record_string, "...", count_string])
+
+    def __str__(self):
+        return repr(self)
+
 
 class Framework(Enum):
     TRANSFORMERS = "transformers"

src/argilla/labeling/text_classification/rule.py

@@ -172,6 +172,14 @@ def __call__(
         else:
             return self._label
 
+    def __repr__(self):
+        """The rule representation."""
+        return f"Rule(query='{self.query}', label='{self.label}', name='{self.name}')"
+
+    def __str__(self):
+        """The rule string representation."""
+        return repr(self)
+
 
 def add_rules(dataset: str, rules: List[Rule]):
     """Adds the rules to a given dataset