[Dataset] add GLUE QQP dataset (#438)

configs/datasets/GLUE_QQP/GLUE_QQP_ppl.py

+from mmengine.config import read_base
+
+with read_base():
+    from .GLUE_QQP_ppl_250d00 import QQP_datasets  # noqa: F401, F403

configs/datasets/GLUE_QQP/GLUE_QQP_ppl_250d00.py

+from opencompass.openicl.icl_prompt_template import PromptTemplate
+from opencompass.openicl.icl_retriever import FixKRetriever
+from opencompass.openicl.icl_inferencer import PPLInferencer
+from opencompass.openicl.icl_evaluator import AccEvaluator
+from opencompass.datasets import HFDataset
+
+
+_hint = "The following are semantic matching questions. \n" \
+    "Please determine whether the following two sentences are semantically duplicate: " \
+    "0 means not duplicate, 1 means duplicate.\n"
+QQP_infer_cfg = dict(
+    ice_template=dict(
+        type=PromptTemplate,
+        template="Sentence one: {question1}\nSentence two: {question2}\nResult: {label}",
+    ),
+    prompt_template=dict(
+        type=PromptTemplate,
+        template={
+            answer:
+            f"{_hint}</E>Sentence one: {{question1}}\nSentence two: {{question2}}\nResult: {answer}"
+            for answer in [0, 1]
+        },
+        ice_token='</E>',
+    ),
+    retriever=dict(type=FixKRetriever),
+    inferencer=dict(type=PPLInferencer, fix_id_list=[0, 1, 2, 3, 4]))
+
+QQP_eval_cfg = dict(evaluator=dict(type=AccEvaluator), )
+
+
+QQP_datasets = []
+for _split in ["validation", "test"]:
+
+    QQP_reader_cfg = dict(
+        input_columns=['question1', 'question2'],
+        output_column='label',
+        train_split="train",
+        test_split=_split
+    )
+
+    QQP_datasets.append(
+        dict(
+            abbr=f'QQP-{_split}',
+            type=HFDataset,
+            path='glue',
+            name='qqp',
+            reader_cfg=QQP_reader_cfg,
+            infer_cfg=QQP_infer_cfg,
+            eval_cfg=QQP_eval_cfg
+        )
+    )