[Feature] Dataset prompts update for ARC, BoolQ, Race (#1527)

configs/datasets/ARC_c/ARC_c_few_shot_ppl.py

@@ -0,0 +1,63 @@
+from opencompass.openicl.icl_prompt_template import PromptTemplate
+from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
+from opencompass.openicl.icl_inferencer import PPLInferencer
+from opencompass.openicl.icl_evaluator import AccEvaluator
+from opencompass.datasets import ARCDataset
+
+ARC_c_reader_cfg = dict(
+    input_columns=['question', 'textA', 'textB', 'textC', 'textD'],
+    output_column='answerKey',
+)
+
+ARC_c_infer_cfg = dict(
+    ice_template=dict(
+        type=PromptTemplate,
+        template={
+            'A': dict(
+                begin='</E>',
+                round=[
+                    dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
+                    dict(role='BOT', prompt='{textA}'),
+                ],
+            ),
+            'B': dict(
+                begin='</E>',
+                round=[
+                    dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
+                    dict(role='BOT', prompt='{textB}'),
+                ],
+            ),
+            'C': dict(
+                begin='</E>',
+                round=[
+                    dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
+                    dict(role='BOT', prompt='{textC}'),
+                ],
+            ),
+            'D': dict(
+                begin='</E>',
+                round=[
+                    dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
+                    dict(role='BOT', prompt='{textD}'),
+                ],
+            ),
+        },
+        ice_token='</E>',
+    ),
+    retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4, 6, 8]),
+    inferencer=dict(type=PPLInferencer),
+)
+
+ARC_c_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
+
+ARC_c_datasets = [
+    dict(
+        type=ARCDataset,
+        abbr='ARC-c',
+        path='opencompass/ai2_arc-dev',
+        name='ARC-Challenge',
+        reader_cfg=ARC_c_reader_cfg,
+        infer_cfg=ARC_c_infer_cfg,
+        eval_cfg=ARC_c_eval_cfg,
+    )
+]

configs/datasets/SuperGLUE_BoolQ/SuperGLUE_BoolQ_few_shot_ppl.py

@@ -0,0 +1,47 @@
+from opencompass.openicl.icl_prompt_template import PromptTemplate
+from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
+from opencompass.openicl.icl_evaluator import AccEvaluator
+from opencompass.datasets import BoolQDatasetV2
+from opencompass.openicl.icl_inferencer import PPLInferencer
+from opencompass.openicl.icl_evaluator import AccEvaluator
+
+BoolQ_reader_cfg = dict(
+    input_columns=['question', 'passage'],
+    output_column='label',
+)
+
+BoolQ_infer_cfg = dict(
+    ice_template=dict(
+        type=PromptTemplate,
+        template={
+            'B': dict(
+                round=[
+                    dict(role='HUMAN', prompt='{passage}\nQuestion: {question}?'),
+                    dict(role='BOT', prompt='No'),
+                ]
+            ),
+            'A': dict(
+                round=[
+                    dict(role='HUMAN', prompt='{passage}\nQuestion: {question}?'),
+                    dict(role='BOT', prompt='Yes'),
+                ]
+            ),
+        },
+        ice_token='</E>',
+    ),
+    retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4, 6, 8]),
+    inferencer=dict(type=PPLInferencer, max_out_len=50),
+)
+
+BoolQ_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
+
+BoolQ_datasets = [
+    dict(
+        abbr='BoolQ',
+        type=BoolQDatasetV2,
+        path='opencompass/boolq',
+        reader_cfg=BoolQ_reader_cfg,
+        infer_cfg=BoolQ_infer_cfg,
+        eval_cfg=BoolQ_eval_cfg,
+    )
+]

configs/datasets/race/race_few_shot_ppl.py

@@ -0,0 +1,57 @@
+from opencompass.openicl.icl_prompt_template import PromptTemplate
+from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
+from opencompass.openicl.icl_inferencer import PPLInferencer
+from opencompass.openicl.icl_evaluator import AccEvaluator
+from opencompass.datasets import RaceDataset
+
+race_reader_cfg = dict(
+    input_columns=['article', 'question', 'A', 'B', 'C', 'D'],
+    output_column='answer',
+    train_split='validation',
+    test_split='test',
+)
+
+race_infer_cfg = dict(
+    ice_template=dict(
+        type=PromptTemplate,
+        template={
+            ans: dict(
+                begin='</E>',
+                round=[
+                    dict(
+                        role='HUMAN',
+                        prompt='Article:\n{article}\nQuestion:\n{question}\nA. {A}\nB. {B}\nC. {C}\nD. {D}',
+                    ),
+                    dict(role='BOT', prompt=f'Answer: {ans}'),
+                ],
+            )
+            for ans in ['A', 'B', 'C', 'D']
+        },
+        ice_token='</E>',
+    ),
+    retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4]),
+    inferencer=dict(type=PPLInferencer),
+)
+
+race_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
+
+race_datasets = [
+    dict(
+        abbr='race-middle',
+        type=RaceDataset,
+        path='opencompass/race',
+        name='middle',
+        reader_cfg=race_reader_cfg,
+        infer_cfg=race_infer_cfg,
+        eval_cfg=race_eval_cfg,
+    ),
+    dict(
+        abbr='race-high',
+        type=RaceDataset,
+        path='opencompass/race',
+        name='high',
+        reader_cfg=race_reader_cfg,
+        infer_cfg=race_infer_cfg,
+        eval_cfg=race_eval_cfg,
+    ),
+]

opencompass/configs/datasets/ARC_c/ARC_c_few_shot_ppl.py

@@ -0,0 +1,63 @@
+from opencompass.openicl.icl_prompt_template import PromptTemplate
+from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
+from opencompass.openicl.icl_inferencer import PPLInferencer
+from opencompass.openicl.icl_evaluator import AccEvaluator
+from opencompass.datasets import ARCDataset
+
+ARC_c_reader_cfg = dict(
+    input_columns=['question', 'textA', 'textB', 'textC', 'textD'],
+    output_column='answerKey',
+)
+
+ARC_c_infer_cfg = dict(
+    ice_template=dict(
+        type=PromptTemplate,
+        template={
+            'A': dict(
+                begin='</E>',
+                round=[
+                    dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
+                    dict(role='BOT', prompt='{textA}'),
+                ],
+            ),
+            'B': dict(
+                begin='</E>',
+                round=[
+                    dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
+                    dict(role='BOT', prompt='{textB}'),
+                ],
+            ),
+            'C': dict(
+                begin='</E>',
+                round=[
+                    dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
+                    dict(role='BOT', prompt='{textC}'),
+                ],
+            ),
+            'D': dict(
+                begin='</E>',
+                round=[
+                    dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
+                    dict(role='BOT', prompt='{textD}'),
+                ],
+            ),
+        },
+        ice_token='</E>',
+    ),
+    retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4, 6, 8]),
+    inferencer=dict(type=PPLInferencer),
+)
+
+ARC_c_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
+
+ARC_c_datasets = [
+    dict(
+        type=ARCDataset,
+        abbr='ARC-c',
+        path='opencompass/ai2_arc-dev',
+        name='ARC-Challenge',
+        reader_cfg=ARC_c_reader_cfg,
+        infer_cfg=ARC_c_infer_cfg,
+        eval_cfg=ARC_c_eval_cfg,
+    )
+]

opencompass/configs/datasets/SuperGLUE_BoolQ/SuperGLUE_BoolQ_few_shot_ppl.py

@@ -0,0 +1,47 @@
+from opencompass.openicl.icl_prompt_template import PromptTemplate
+from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
+from opencompass.openicl.icl_evaluator import AccEvaluator
+from opencompass.datasets import BoolQDatasetV2
+from opencompass.openicl.icl_inferencer import PPLInferencer
+from opencompass.openicl.icl_evaluator import AccEvaluator
+
+BoolQ_reader_cfg = dict(
+    input_columns=['question', 'passage'],
+    output_column='label',
+)
+
+BoolQ_infer_cfg = dict(
+    ice_template=dict(
+        type=PromptTemplate,
+        template={
+            'B': dict(
+                round=[
+                    dict(role='HUMAN', prompt='{passage}\nQuestion: {question}?'),
+                    dict(role='BOT', prompt='No'),
+                ]
+            ),
+            'A': dict(
+                round=[
+                    dict(role='HUMAN', prompt='{passage}\nQuestion: {question}?'),
+                    dict(role='BOT', prompt='Yes'),
+                ]
+            ),
+        },
+        ice_token='</E>',
+    ),
+    retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4, 6, 8]),
+    inferencer=dict(type=PPLInferencer, max_out_len=50),
+)
+
+BoolQ_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
+
+BoolQ_datasets = [
+    dict(
+        abbr='BoolQ',
+        type=BoolQDatasetV2,
+        path='opencompass/boolq',
+        reader_cfg=BoolQ_reader_cfg,
+        infer_cfg=BoolQ_infer_cfg,
+        eval_cfg=BoolQ_eval_cfg,
+    )
+]

opencompass/configs/datasets/race/race_few_shot_ppl.py

@@ -0,0 +1,57 @@
+from opencompass.openicl.icl_prompt_template import PromptTemplate
+from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
+from opencompass.openicl.icl_inferencer import PPLInferencer
+from opencompass.openicl.icl_evaluator import AccEvaluator
+from opencompass.datasets import RaceDataset
+
+race_reader_cfg = dict(
+    input_columns=['article', 'question', 'A', 'B', 'C', 'D'],
+    output_column='answer',
+    train_split='validation',
+    test_split='test',
+)
+
+race_infer_cfg = dict(
+    ice_template=dict(
+        type=PromptTemplate,
+        template={
+            ans: dict(
+                begin='</E>',
+                round=[
+                    dict(
+                        role='HUMAN',
+                        prompt='Article:\n{article}\nQuestion:\n{question}\nA. {A}\nB. {B}\nC. {C}\nD. {D}',
+                    ),
+                    dict(role='BOT', prompt=f'Answer: {ans}'),
+                ],
+            )
+            for ans in ['A', 'B', 'C', 'D']
+        },
+        ice_token='</E>',
+    ),
+    retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4]),
+    inferencer=dict(type=PPLInferencer),
+)
+
+race_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
+
+race_datasets = [
+    dict(
+        abbr='race-middle',
+        type=RaceDataset,
+        path='opencompass/race',
+        name='middle',
+        reader_cfg=race_reader_cfg,
+        infer_cfg=race_infer_cfg,
+        eval_cfg=race_eval_cfg,
+    ),
+    dict(
+        abbr='race-high',
+        type=RaceDataset,
+        path='opencompass/race',
+        name='high',
+        reader_cfg=race_reader_cfg,
+        infer_cfg=race_infer_cfg,
+        eval_cfg=race_eval_cfg,
+    ),
+]