[Feat] update postprocessor to get first option more accurately (#193)

* [Feat] update postprocessor to get first option

* minor fix

* minor fix

configs/datasets/ARC_c/ARC_c_gen_1e0de5.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import ARCDataset
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 ARC_c_reader_cfg = dict(
     input_columns=["question", "textA", "textB", "textC", "textD"],
@@ -28,7 +28,7 @@ ARC_c_infer_cfg = dict(
 ARC_c_eval_cfg = dict(
     evaluator=dict(type=AccEvaluator),
     pred_role="BOT",
-    pred_postprocessor=dict(type=first_capital_postprocess),
+    pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'),
 )
 
 ARC_c_datasets = [

configs/datasets/ARC_e/ARC_e_gen_1e0de5.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import ARCDataset
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 ARC_e_reader_cfg = dict(
     input_columns=["question", "textA", "textB", "textC", "textD"],
@@ -28,7 +28,7 @@ ARC_e_infer_cfg = dict(
 ARC_e_eval_cfg = dict(
     evaluator=dict(type=AccEvaluator),
     pred_role="BOT",
-    pred_postprocessor=dict(type=first_capital_postprocess),
+    pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'),
 )
 
 ARC_e_datasets = [

configs/datasets/SuperGLUE_AX_b/SuperGLUE_AX_b_gen_4dfefa.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import AXDataset_V2
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 AX_b_reader_cfg = dict(
     input_columns=["sentence1", "sentence2"],
@@ -28,7 +28,7 @@ AX_b_infer_cfg = dict(
 AX_b_eval_cfg = dict(
     evaluator=dict(type=AccEvaluator),
     pred_role="BOT",
-    pred_postprocessor=dict(type=first_capital_postprocess),
+    pred_postprocessor=dict(type=first_option_postprocess, options='AB'),
 )
 
 AX_b_datasets = [

configs/datasets/SuperGLUE_AX_g/SuperGLUE_AX_g_gen_68aac7.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import AXDataset_V2
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 AX_g_reader_cfg = dict(
     input_columns=["hypothesis", "premise"],
@@ -28,7 +28,7 @@ AX_g_infer_cfg = dict(
 AX_g_eval_cfg = dict(
     evaluator=dict(type=AccEvaluator),
     pred_role="BOT",
-    pred_postprocessor=dict(type=first_capital_postprocess),
+    pred_postprocessor=dict(type=first_option_postprocess, options='AB'),
 )
 
 AX_g_datasets = [

configs/datasets/SuperGLUE_CB/SuperGLUE_CB_gen_854c6c.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import CBDataset_V2
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 CB_reader_cfg = dict(
     input_columns=["premise", "hypothesis"],
@@ -29,7 +29,7 @@ CB_infer_cfg = dict(
 CB_eval_cfg = dict(
     evaluator=dict(type=AccEvaluator),
     pred_role="BOT",
-    pred_postprocessor=dict(type=first_capital_postprocess),
+    pred_postprocessor=dict(type=first_option_postprocess, options='ABC'),
 )
 
 CB_datasets = [

configs/datasets/SuperGLUE_COPA/SuperGLUE_COPA_gen_91ca53.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import COPADataset_V2
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 COPA_reader_cfg = dict(
     input_columns=["question", "premise", "choice1", "choice2"],
@@ -29,7 +29,7 @@ COPA_infer_cfg = dict(
 COPA_eval_cfg = dict(
     evaluator=dict(type=AccEvaluator),
     pred_role="BOT",
-    pred_postprocessor=dict(type=first_capital_postprocess),
+    pred_postprocessor=dict(type=first_option_postprocess, options='AB'),
 )
 
 COPA_datasets = [

configs/datasets/SuperGLUE_MultiRC/SuperGLUE_MultiRC_gen_27071f.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import MultiRCDataset_V2
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 MultiRC_reader_cfg = dict(
     input_columns=["question", "text", "answer"],
@@ -28,7 +28,7 @@ MultiRC_infer_cfg = dict(
 MultiRC_eval_cfg = dict(
     evaluator=dict(type=AccEvaluator),
     pred_role="BOT",
-    pred_postprocessor=dict(type=first_capital_postprocess),
+    pred_postprocessor=dict(type=first_option_postprocess, options='AB'),
 )
 
 MultiRC_datasets = [

configs/datasets/SuperGLUE_RTE/SuperGLUE_RTE_gen_68aac7.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import AXDataset_V2
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 RTE_reader_cfg = dict(
     input_columns=["hypothesis", "premise"],
@@ -28,7 +28,7 @@ RTE_infer_cfg = dict(
 RTE_eval_cfg = dict(
     evaluator=dict(type=AccEvaluator),
     pred_role="BOT",
-    pred_postprocessor=dict(type=first_capital_postprocess),
+    pred_postprocessor=dict(type=first_option_postprocess, options='AB'),
 )
 
 RTE_datasets = [

configs/datasets/agieval/agieval_gen_397d81.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import AGIEvalDataset_v2, AGIEvalEvaluator
-from opencompass.utils.text_postprocessors import first_capital_postprocess, first_capital_postprocess_multi
+from opencompass.utils.text_postprocessors import first_option_postprocess, first_capital_postprocess_multi
 
 agieval_reader_cfg = dict(
     input_columns=['question', 'options'], output_column='label')
@@ -76,14 +76,16 @@ for _name in agieval_single_choice_sets:
         prompt_template=dict(
             type=PromptTemplate,
             template=dict(round=[
-                dict(role='HUMAN', prompt=f'{{question}}\n{{options}}\n{_hint}')
+                dict(
+                    role='HUMAN', prompt=f'{{question}}\n{{options}}\n{_hint}')
             ])),
         retriever=dict(type=ZeroRetriever),
         inferencer=dict(type=GenInferencer, max_out_len=1024))
 
     agieval_eval_cfg = dict(
         evaluator=dict(type=AccEvaluator),
-        pred_postprocessor=dict(type=first_capital_postprocess))
+        pred_postprocessor=dict(
+            type=first_option_postprocess, options='ABCDE'))
 
     agieval_datasets.append(
         dict(
@@ -105,7 +107,8 @@ for _name in agieval_multiple_choices_sets:
         prompt_template=dict(
             type=PromptTemplate,
             template=dict(round=[
-                dict(role='HUMAN', prompt=f'{{question}}\n{{options}}\n{_hint}')
+                dict(
+                    role='HUMAN', prompt=f'{{question}}\n{{options}}\n{_hint}')
             ])),
         retriever=dict(type=ZeroRetriever),
         inferencer=dict(type=GenInferencer, max_out_len=1024))

configs/datasets/hellaswag/hellaswag_gen_6faab5.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import hellaswagDataset_V2
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 hellaswag_reader_cfg = dict(
     input_columns=["ctx", "A", "B", "C", "D"],
@@ -16,11 +16,10 @@ hellaswag_infer_cfg = dict(
         template=dict(round=[
             dict(
                 role="HUMAN",
-                prompt=(
-                    "{ctx}\nQuestion: Which ending makes the most sense?\n"
-                    "A. {A}\nB. {B}\nC. {C}\nD. {D}\n"
-                    "You may choose from 'A', 'B', 'C', 'D'.\n"
-                    "Answer:"),
+                prompt=("{ctx}\nQuestion: Which ending makes the most sense?\n"
+                        "A. {A}\nB. {B}\nC. {C}\nD. {D}\n"
+                        "You may choose from 'A', 'B', 'C', 'D'.\n"
+                        "Answer:"),
             ),
         ]),
     ),
@@ -31,7 +30,7 @@ hellaswag_infer_cfg = dict(
 hellaswag_eval_cfg = dict(
     evaluator=dict(type=AccEvaluator),
     pred_role="BOT",
-    pred_postprocessor=dict(type=first_capital_postprocess),
+    pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'),
 )
 
 hellaswag_datasets = [

configs/datasets/obqa/obqa_gen_9069e4.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import OBQADataset
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 _input_columns = [
     ["question_stem", "A", "B", "C", "D"],
@@ -14,14 +14,16 @@ _template = [
         round=[
             dict(
                 role="HUMAN",
-                prompt="Question: {question_stem}\nA. {A}\nB. {B}\nC. {C}\nD. {D}\nAnswer:"
+                prompt=
+                "Question: {question_stem}\nA. {A}\nB. {B}\nC. {C}\nD. {D}\nAnswer:"
             ),
         ], ),
     dict(
         round=[
             dict(
                 role="HUMAN",
-                prompt="Given the fact: {fact1}\nQuestion: {question_stem}\nA. {A}\nB. {B}\nC. {C}\nD. {D}\nAnswer:",
+                prompt=
+                "Given the fact: {fact1}\nQuestion: {question_stem}\nA. {A}\nB. {B}\nC. {C}\nD. {D}\nAnswer:",
             ),
         ], ),
 ]
@@ -46,16 +48,14 @@ for _i in range(2):
     obqa_reader_cfg = dict(
         input_columns=_input_columns[_i], output_column="answerKey")
     obqa_infer_cfg = dict(
-        prompt_template=dict(
-            type=PromptTemplate,
-            template=_template[_i]),
+        prompt_template=dict(type=PromptTemplate, template=_template[_i]),
         retriever=dict(type=ZeroRetriever),
         inferencer=dict(type=GenInferencer),
     )
     obqa_eval_cfg = dict(
         evaluator=dict(type=AccEvaluator),
         pred_role="BOT",
-        pred_postprocessor=dict(type=first_capital_postprocess),
+        pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'),
     )
 
     obqa_datasets[_i]["reader_cfg"] = obqa_reader_cfg

configs/datasets/piqa/piqa_gen_1194eb.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import piqaDataset_V2
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 piqa_reader_cfg = dict(
     input_columns=["goal", "sol1", "sol2"],
@@ -15,7 +15,9 @@ piqa_infer_cfg = dict(
         type=PromptTemplate,
         template=dict(
             round=[
-                dict(role="HUMAN", prompt="{goal}\nA. {sol1}\nB. {sol2}\nAnswer:")
+                dict(
+                    role="HUMAN",
+                    prompt="{goal}\nA. {sol1}\nB. {sol2}\nAnswer:")
             ], ),
     ),
     retriever=dict(type=ZeroRetriever),
@@ -25,7 +27,7 @@ piqa_infer_cfg = dict(
 piqa_eval_cfg = dict(
     evaluator=dict(type=AccEvaluator),
     pred_role="BOT",
-    pred_postprocessor=dict(type=first_capital_postprocess),
+    pred_postprocessor=dict(type=first_option_postprocess, options='AB'),
 )
 
 piqa_datasets = [

configs/datasets/race/race_gen_69ee4f.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import RaceDataset
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 race_reader_cfg = dict(
     input_columns=['article', 'question', 'A', 'B', 'C', 'D'],
@@ -24,7 +24,7 @@ race_infer_cfg = dict(
 
 race_eval_cfg = dict(
     evaluator=dict(type=AccEvaluator),
-    pred_postprocessor=dict(type=first_capital_postprocess),
+    pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'),
     pred_role='BOT')
 
 race_datasets = [

configs/datasets/storycloze/storycloze_gen_7f656a.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import storyclozeDataset_V2
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 storycloze_reader_cfg = dict(
     input_columns=["context", "sentence_quiz1", "sentence_quiz2"],
@@ -28,7 +28,7 @@ storycloze_infer_cfg = dict(
 storycloze_eval_cfg = dict(
     evaluator=dict(type=AccEvaluator),
     pred_role="BOT",
-    pred_postprocessor=dict(type=first_capital_postprocess),
+    pred_postprocessor=dict(type=first_option_postprocess, options='AB'),
 )
 
 # The original story cloze dataset and repo are not long maintaining.

configs/datasets/winogrande/winogrande_gen_a9ede5.py

@@ -3,7 +3,7 @@ from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
 from opencompass.openicl.icl_evaluator import AccEvaluator
 from opencompass.datasets import winograndeDataset_V2
-from opencompass.utils.text_postprocessors import first_capital_postprocess
+from opencompass.utils.text_postprocessors import first_option_postprocess
 
 winogrande_reader_cfg = dict(
     input_columns=["opt1", "opt2"],
@@ -28,7 +28,7 @@ winogrande_infer_cfg = dict(
 winogrande_eval_cfg = dict(
     evaluator=dict(type=AccEvaluator),
     pred_role="BOT",
-    pred_postprocessor=dict(type=first_capital_postprocess),
+    pred_postprocessor=dict(type=first_option_postprocess, options='AB'),
 )
 
 winogrande_datasets = [

opencompass/utils/text_postprocessors.py

@@ -48,6 +48,31 @@ def first_capital_postprocess(text: str) -> str:
     return ''
 
 
+def first_option_postprocess(text: str, options) -> str:
+    """Find first valid option for text."""
+
+    patterns = [
+        f'[Tt]he answer is [{options}]',
+        f'[Tt]he correct answer is [{options}]',
+        f'答案是(.*?)[{options}]',
+        f'答案为(.*?)[{options}]',
+        f'固选(.*?)[{options}]',
+        f'答案应该是(.*?)[{options}]',
+        f'(\s|^)[{options}][\s。，,\.$]',  # noqa
+        f'[{options}]',
+    ]
+
+    regexes = [re.compile(pattern) for pattern in patterns]
+    for regex in regexes:
+        match = regex.search(text)
+        if match:
+            outputs = match.group(0)
+            for i in options:
+                if i in outputs:
+                    return i
+    return ''
+
+
 @TEXT_POSTPROCESSORS.register_module('first-capital-multi')
 def first_capital_postprocess_multi(text: str) -> str:
     match = re.search(r'([A-D]+)', text)