Add Talemaader pair classification task

mteb/tasks/PairClassification/__init__.py

@@ -2,6 +2,7 @@
 
 from .ara.ArEntail import *
 from .ces.CTKFactsNLI import *
+from .dan.TalemaaderPC import *
 from .deu.FalseFriendsDeEnPC import *
 from .eng.LegalBenchPC import *
 from .eng.PubChemAISentenceParaphrasePC import *

mteb/tasks/PairClassification/dan/TalemaaderPC.py

@@ -0,0 +1,59 @@
+from __future__ import annotations
+
+from mteb.abstasks.AbsTaskPairClassification import AbsTaskPairClassification
+from mteb.abstasks.TaskMetadata import TaskMetadata
+
+
+class TalemaaderPC(AbsTaskPairClassification):
+    metadata = TaskMetadata(
+        name="TalemaaderPC",
+        description="""\
+The Danish Language and Literature Society has developed a dataset for evaluating language models in Danish.
+The dataset contains a total of 1000 Danish idioms and fixed expressions with transferred meanings based on the Danish Dictionary's collection of fixed expressions with associated definitions. 
+For each of the 1000 idioms and fixed expressions, three false definitions have also been prepared.
+The dataset can be used to test the performance of language models in identifying correct definitions for Danish idioms and fixed expressions.
+""",
+        reference="https://sprogteknologi.dk/dataset/1000-talemader-evalueringsdatasaet",
+        dataset={
+            "path": "mteb/talemaader_pc",
+            "revision": "e714d53c059ca83d56c41d22f800da8245bb87fc",
+        },
+        type="PairClassification",
+        category="s2s",
+        modalities=["text"],
+        eval_splits=["test"],
+        eval_langs=["dan-Latn"],
+        main_score="max_accuracy",
+        date=("2024-11-20", "2024-11-20"),
+        domains=["Academic", "Written"],
+        task_subtypes=[],
+        license="cc-by-4.0",
+        annotations_creators="derived",
+        dialect=[],
+        sample_creation="created",
+        bibtex_citation="""
+@misc{DSLDK1000Talemader,
+  title = {1000 danske talemåder - evalueringsdatasæt},
+  author = {{Det Danske Sprog- og Litteraturselskab}},
+  year = {2024},
+  howpublished = {Sprogteknologi.dk},
+  url = {https://sprogteknologi.dk/dataset/1000-talemader-evalueringsdatasaet},
+  note = {CC-BY licensed dataset of 1000 Danish sayings and expressions},
+  publisher = {Digitaliseringsstyrelsen \& Det Danske Sprog- og Litteraturselskab},
+  language = {Danish}
+}
+""",
+    )
+
+    def dataset_transform(self):
+        _dataset = {}
+        for split in self.metadata.eval_splits:
+            hf_dataset = self.dataset[split]
+            _dataset[split] = [
+                {
+                    "sentence1": hf_dataset["sentence1"],
+                    "sentence2": hf_dataset["sentence2"],
+                    "labels": hf_dataset["label"],
+                }
+            ]
+        self.dataset = _dataset