[Feature] Add FinanceIQ dataset (#596)

configs/datasets/FinanceIQ/FinanceIQ_gen.py

+from mmengine.config import read_base
+
+with read_base():
+    from .FinanceIQ_gen_e0e6b5 import FinanceIQ_datasets  # noqa: F401, F403

configs/datasets/FinanceIQ/FinanceIQ_gen_e0e6b5.py

+from opencompass.openicl.icl_prompt_template import PromptTemplate
+from opencompass.openicl.icl_retriever import FixKRetriever
+from opencompass.openicl.icl_inferencer import GenInferencer
+from opencompass.openicl.icl_evaluator import AccEvaluator
+from opencompass.datasets import FinanceIQDataset
+from opencompass.utils.text_postprocessors import first_capital_postprocess
+
+financeIQ_subject_mapping_en = {
+    'certified_public_accountant': '注册会计师（CPA）', 
+    'banking_qualification': '银行从业资格',
+    'securities_qualification': '证券从业资格', 
+    'fund_qualification': '基金从业资格', 
+    'insurance_qualification': '保险从业资格CICE', 
+    'economic_analyst': '经济师', 
+    'taxation_practitioner': '税务师', 
+    'futures_qualification': '期货从业资格', 
+    'certified_fin_planner': '理财规划师',
+    'actuary_fin_math': '精算师-金融数学', 
+}
+
+financeIQ_subject_mapping = {
+    '注册会计师（CPA）': '注册会计师（CPA）', 
+    '银行从业资格': '银行从业资格',
+    '证券从业资格': '证券从业资格', 
+    '基金从业资格': '基金从业资格', 
+    '保险从业资格CICE': '保险从业资格CICE', 
+    '经济师': '经济师', 
+    '税务师': '税务师', 
+    '期货从业资格': '期货从业资格', 
+    '理财规划师': '理财规划师',
+    '精算师-金融数学': '精算师-金融数学', 
+}
+
+financeIQ_all_sets = list(financeIQ_subject_mapping.keys())
+
+financeIQ_datasets = []
+for _name in financeIQ_all_sets:
+    _ch_name = financeIQ_subject_mapping[_name]
+    financeIQ_infer_cfg = dict(
+        ice_template=dict(
+            type=PromptTemplate,
+            template=dict(
+                begin="</E>",
+                round=[
+                    dict(
+                        role="HUMAN",
+                        prompt=
+                        f"以下是关于{_ch_name}的单项选择题，请直接给出正确答案的选项。\n题目：{{question}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}"
+                    ),
+                    dict(role="BOT", prompt='答案是: {answer}'),
+                ]),
+            ice_token="</E>",
+        ),
+        retriever=dict(type=FixKRetriever, fix_id_list=[0, 1, 2, 3, 4]),
+        inferencer=dict(type=GenInferencer),
+    )
+
+    financeIQ_eval_cfg = dict(
+        evaluator=dict(type=AccEvaluator),
+        pred_postprocessor=dict(type=first_capital_postprocess))
+
+    financeIQ_datasets.append(
+        dict(
+            type=FinanceIQDataset,
+            path="./data/FinanceIQ/",
+            name=_name,
+            abbr=f"FinanceIQ-{_name}",
+            reader_cfg=dict(
+                input_columns=["question", "A", "B", "C", "D"],
+                output_column="answer",
+                train_split="dev",
+                test_split='test'),
+            infer_cfg=financeIQ_infer_cfg,
+            eval_cfg=financeIQ_eval_cfg,
+        ))
+
+del _name, _ch_name

configs/datasets/FinanceIQ/FinanceIQ_ppl.py

+from mmengine.config import read_base
+
+with read_base():
+    from .FinanceIQ_ppl_42b9bd import FinanceIQ_datasets  # noqa: F401, F403

configs/datasets/FinanceIQ/FinanceIQ_ppl_42b9bd.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 FinanceIQDataset
+
+financeIQ_subject_mapping_en = {
+    'certified_public_accountant': '注册会计师（CPA）', 
+    'banking_qualification': '银行从业资格',
+    'securities_qualification': '证券从业资格', 
+    'fund_qualification': '基金从业资格', 
+    'insurance_qualification': '保险从业资格CICE', 
+    'economic_analyst': '经济师', 
+    'taxation_practitioner': '税务师', 
+    'futures_qualification': '期货从业资格', 
+    'certified_fin_planner': '理财规划师',
+    'actuary_fin_math': '精算师-金融数学', 
+}
+
+financeIQ_subject_mapping = {
+    '注册会计师（CPA）': '注册会计师（CPA）', 
+    '银行从业资格': '银行从业资格',
+    '证券从业资格': '证券从业资格', 
+    '基金从业资格': '基金从业资格', 
+    '保险从业资格CICE': '保险从业资格CICE', 
+    '经济师': '经济师', 
+    '税务师': '税务师', 
+    '期货从业资格': '期货从业资格', 
+    '理财规划师': '理财规划师',
+    '精算师-金融数学': '精算师-金融数学', 
+}
+
+financeIQ_all_sets = list(financeIQ_subject_mapping.keys())
+
+financeIQ_datasets = []
+for _name in financeIQ_all_sets:
+    _ch_name = financeIQ_subject_mapping[_name]
+    financeIQ_infer_cfg = dict(
+        ice_template=dict(
+            type=PromptTemplate,
+            template={
+                answer: dict(
+                    begin="</E>",
+                    round=[
+                        dict(
+                            role="HUMAN",
+                            prompt=f"以下是关于{_ch_name}的单项选择题，请直接给出正确答案的选项。\n题目：{{question}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}"
+                        ),
+                        dict(role="BOT", prompt=f'答案是: {answer}'),
+                    ])
+                for answer in ["A", "B", "C", "D"]
+            },
+            ice_token="</E>",
+        ),
+        retriever=dict(type=FixKRetriever, fix_id_list=[0, 1, 2, 3, 4]),
+        inferencer=dict(type=PPLInferencer),
+    )
+
+    financeIQ_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
+
+    financeIQ_datasets.append(
+        dict(
+            type=FinanceIQDataset,
+            path="./data/FinanceIQ/",
+            name=_name,
+            abbr=f"FinanceIQ-{_name}",
+            reader_cfg=dict(
+                input_columns=["question", "A", "B", "C", "D"],
+                output_column="answer",
+                train_split="dev",
+                test_split='test'),
+            infer_cfg=financeIQ_infer_cfg,
+            eval_cfg=financeIQ_eval_cfg,
+        ))
+
+del _name, _ch_name

opencompass/datasets/FinanceIQ.py

+import csv
+import os.path as osp
+
+from datasets import Dataset, DatasetDict
+
+from opencompass.registry import LOAD_DATASET
+
+from .base import BaseDataset
+
+
+@LOAD_DATASET.register_module()
+class FinanceIQDataset(BaseDataset):
+
+    # @staticmethod
+    # def load(path: str):
+    #     from datasets import load_dataset
+    #     return load_dataset('csv', data_files={'test': path})
+
+    @staticmethod
+    def load(path: str, name: str):
+        dataset = DatasetDict()
+        for split in ['dev', 'test']:
+            raw_data = []
+            filename = osp.join(path, split, f'{name}.csv')
+            with open(filename, encoding='utf-8') as f:
+                reader = csv.reader(f)
+                _ = next(reader)  # skip the header
+                for row in reader:
+                    assert len(row) == 7
+                    raw_data.append({
+                        'question': row[1],
+                        'A': row[2],
+                        'B': row[3],
+                        'C': row[4],
+                        'D': row[5],
+                        'answer': row[6],
+                    })
+            dataset[split] = Dataset.from_list(raw_data)
+        return dataset

opencompass/datasets/__init__.py

@@ -30,6 +30,7 @@ from .drop import *  # noqa: F401, F403
 from .ds1000 import *  # noqa: F401, F403
 from .ds1000_interpreter import *  # noqa: F401, F403
 from .eprstmt import *  # noqa: F401, F403
+from .FinanceIQ import *  # noqa: F401, F403
 from .flores import *  # noqa: F401, F403
 from .game24 import *  # noqa: F401, F403
 from .GaokaoBench import *  # noqa: F401, F403