[SIG] add GLUE_CoLA dataset (#406)

* [Dataset] add GLUE_CoLA dataset

* [update] use HFDataset to load glue/cola dataset

* update

---------

Co-authored-by: gaotongxiao <gaotongxiao@gmail.com>

configs/datasets/GLUE_CoLA/GULE_CoLA_ppl.py

@@ -0,0 +1,4 @@
+from mmengine.config import read_base
+
+with read_base():
+    from .GULE_CoLA_ppl_77d0df import CoLA_datasets  # noqa: F401, F403

configs/datasets/GLUE_CoLA/GULE_CoLA_ppl_77d0df.py

@@ -0,0 +1,50 @@
+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 text classification questions. \n" \
+    "Please determine whether the following sentence is linguistically acceptable: " \
+    "0 means unacceptable, 1 means acceptable.\n"
+
+CoLA_infer_cfg = dict(
+    ice_template=dict(
+        type=PromptTemplate,
+        template="Sentence: {sentence}\nResult: {label}",
+    ),
+    prompt_template=dict(
+        type=PromptTemplate,
+        template={
+            answer:
+            f"{_hint}</E>Sentence: {{sentence}}\nResult: {answer}"
+            for answer in [0, 1]
+        },
+        ice_token='</E>',
+    ),
+    retriever=dict(type=FixKRetriever),
+    inferencer=dict(type=PPLInferencer, fix_id_list=[17, 18, 19, 20, 21]))
+
+CoLA_eval_cfg = dict(evaluator=dict(type=AccEvaluator), )
+
+CoLA_datasets = []
+for _split in ["validation"]:
+
+    CoLA_reader_cfg = dict(
+        input_columns=['sentence'],
+        output_column='label',
+        test_split=_split
+    )
+
+    CoLA_datasets.append(
+        dict(
+            abbr=f'CoLA-{_split}',
+            type=HFDataset,
+            path='glue',
+            name='cola',
+            reader_cfg=CoLA_reader_cfg,
+            infer_cfg=CoLA_infer_cfg,
+            eval_cfg=CoLA_eval_cfg
+        )
+    )