[Feature] Add ReasonBench(Internal) dataset (#577)

* [Feature] Add reasonbench dataset

* add configs for supporting generative inference & merge datasets in the same category

* modify config filename to prompt version

* fix codes to meet pre-commit requirements

* lint the code to meet pre-commit requirements

* Align Load_data Sourcecode Briefly

* fix bugs

* reduce code redundancy

configs/datasets/ReasonBench/reasonbench_gen.py

+from mmengine.config import read_base
+
+with read_base():
+    from .reasonbench_gen_d15233 import reasonbench_datasets

configs/datasets/ReasonBench/reasonbench_gen_d15233.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.utils.text_postprocessors import first_capital_postprocess
+from opencompass.datasets.reasonbench import ReasonBenchDataset
+
+reasonbench_eval_cfg = dict(
+    evaluator=dict(type=AccEvaluator),
+    pred_postprocessor=dict(type=first_capital_postprocess)
+)
+
+reader_cfgs = []
+for i in range(2, 5):
+    choices = ["A", "B", "C", "D"][:i]
+
+    reader_cfgs.append(dict(
+    input_columns=["prompt_ppl"],
+    output_column="label_ppl")
+    )
+
+infer_cfg=dict(
+    ice_template=dict(
+        type=PromptTemplate,
+        template=dict(
+            begin="</E>",
+            round=[
+                dict(
+                    role="HUMAN",
+                    prompt="</E>{prompt_ppl}"
+                ),
+                dict(role="BOT", prompt="Answer: {label_ppl}"),
+            ]),
+        ice_token="</E>",
+        ),
+    retriever=dict(type=FixKRetriever, fix_id_list=[]),
+    inferencer=dict(type=GenInferencer)
+)
+
+
+CausalReasoningDataset = [
+    dict(
+        abbr="reasonbench-causal",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/causal.jsonl",
+        reader_cfg=reader_cfgs[0],
+        infer_cfg=infer_cfg,
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+CommonsenseReasoningDataset = [
+    dict(
+        abbr="reasonbench-commonsense",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/commonsense.jsonl",
+        reader_cfg=reader_cfgs[1],
+        infer_cfg=infer_cfg,
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+AbductiveReasoningDataset = [
+    dict(
+        abbr="reasonbench-abductive",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/abductive.jsonl",
+        reader_cfg=reader_cfgs[0],
+        infer_cfg=infer_cfg,
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+DeductiveReasoningDataset = [
+    dict(
+        abbr="reasonbench-deductive",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/deductive.jsonl",
+        reader_cfg=reader_cfgs[1],
+        infer_cfg=infer_cfg,
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+InductiveReasoningDataset = [
+    dict(
+        abbr="reasonbench-inductive",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/inductive.jsonl",
+        reader_cfg=reader_cfgs[0],
+        infer_cfg=infer_cfg,
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+SymbolicReasoningDataset = [
+    dict(
+        abbr="reasonbench-symbolic",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/symbolic.jsonl",
+        reader_cfg=reader_cfgs[2],
+        infer_cfg=infer_cfg,
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+CLEVA_CommonsenseReasoningDataset = [
+    dict(
+        abbr="reasonbench-cleva_commonsense",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/cleva_commonsense.jsonl",
+        reader_cfg=reader_cfgs[1],
+        infer_cfg=infer_cfg,
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+CLEVA_DeductiveReasoningDataset = [
+    dict(
+        abbr="reasonbench-cleva_deductive",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/cleva_deductive.jsonl",
+        reader_cfg=reader_cfgs[1],
+        infer_cfg=infer_cfg,
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+CLEVA_InductiveReasoningDataset = [
+    dict(
+        abbr="reasonbench-cleva_inductive",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/cleva_inductive.jsonl",
+        reader_cfg=reader_cfgs[0],
+        infer_cfg=infer_cfg,
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+reasonbench_datasets = \
+    CLEVA_CommonsenseReasoningDataset + \
+    CLEVA_DeductiveReasoningDataset + \
+    CLEVA_InductiveReasoningDataset + \
+    CausalReasoningDataset + \
+    CommonsenseReasoningDataset + \
+    AbductiveReasoningDataset + \
+    DeductiveReasoningDataset + \
+    InductiveReasoningDataset + \
+    SymbolicReasoningDataset

configs/datasets/ReasonBench/reasonbench_ppl.py

+from mmengine.config import read_base
+
+with read_base():
+    from .reasonbench_ppl_b4a005 import reasonbench_datasets

configs/datasets/ReasonBench/reasonbench_ppl_b4a005.py

+from opencompass.openicl.icl_prompt_template import PromptTemplate
+from opencompass.openicl.icl_retriever import ZeroRetriever
+from opencompass.openicl.icl_inferencer import PPLInferencer
+from opencompass.openicl.icl_evaluator import AccEvaluator
+from opencompass.datasets.reasonbench import ReasonBenchDataset
+
+reasonbench_eval_cfg = dict(
+    evaluator=dict(type=AccEvaluator),
+    pred_role="BOT",
+)
+
+reader_cfgs, infer_cfgs = [], []
+for i in range(2, 5):
+    choices = ["A", "B", "C", "D"][:i]
+
+    reader_cfgs.append(dict(
+    input_columns=["prompt_ppl"] + choices + ["choices"],
+    output_column="label")
+    )
+
+    infer_cfgs.append(dict(
+    prompt_template=dict(
+        type=PromptTemplate,
+        template={
+            str(id):
+            dict(
+                round=[
+                    dict(role="HUMAN", prompt="{prompt_ppl}Answer:"),
+                    dict(role="BOT", prompt=f"{choice}")
+                ], )
+            for id, choice in enumerate(choices)
+        }),
+    retriever=dict(type=ZeroRetriever),
+    inferencer=dict(type=PPLInferencer)
+    ))
+
+CausalReasoningDataset = [
+    dict(
+        abbr="reasonbench-causal",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/causal.jsonl",
+        reader_cfg=reader_cfgs[0],
+        infer_cfg=infer_cfgs[0],
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+CommonsenseReasoningDataset = [
+    dict(
+        abbr="reasonbench-commonsense",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/commonsense.jsonl",
+        reader_cfg=reader_cfgs[1],
+        infer_cfg=infer_cfgs[1],
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+AbductiveReasoningDataset = [
+    dict(
+        abbr="reasonbench-abductive",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/abductive.jsonl",
+        reader_cfg=reader_cfgs[0],
+        infer_cfg=infer_cfgs[0],
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+DeductiveReasoningDataset = [
+    dict(
+        abbr="reasonbench-deductive",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/deductive.jsonl",
+        reader_cfg=reader_cfgs[1],
+        infer_cfg=infer_cfgs[1],
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+InductiveReasoningDataset = [
+    dict(
+        abbr="reasonbench-inductive",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/inductive.jsonl",
+        reader_cfg=reader_cfgs[0],
+        infer_cfg=infer_cfgs[0],
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+SymbolicReasoningDataset = [
+    dict(
+        abbr="reasonbench-symbolic",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/symbolic.jsonl",
+        reader_cfg=reader_cfgs[2],
+        infer_cfg=infer_cfgs[2],
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+CLEVA_CommonsenseReasoningDataset = [
+    dict(
+        abbr="reasonbench-cleva_commonsense",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/cleva_commonsense.jsonl",
+        reader_cfg=reader_cfgs[1],
+        infer_cfg=infer_cfgs[1],
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+CLEVA_DeductiveReasoningDataset = [
+    dict(
+        abbr="reasonbench-cleva_deductive",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/cleva_deductive.jsonl",
+        reader_cfg=reader_cfgs[1],
+        infer_cfg=infer_cfgs[1],
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+CLEVA_InductiveReasoningDataset = [
+    dict(
+        abbr="reasonbench-cleva_inductive",
+        type=ReasonBenchDataset,
+        path="data/reasonbench/cleva_inductive.jsonl",
+        reader_cfg=reader_cfgs[0],
+        infer_cfg=infer_cfgs[0],
+        eval_cfg=reasonbench_eval_cfg),
+]
+
+reasonbench_datasets = \
+    CLEVA_CommonsenseReasoningDataset + \
+    CLEVA_DeductiveReasoningDataset + \
+    CLEVA_InductiveReasoningDataset + \
+    CausalReasoningDataset + \
+    CommonsenseReasoningDataset + \
+    AbductiveReasoningDataset + \
+    DeductiveReasoningDataset + \
+    InductiveReasoningDataset + \
+    SymbolicReasoningDataset

opencompass/datasets/__init__.py

@@ -68,6 +68,7 @@ from .qasper import *  # noqa: F401, F403
 from .qaspercut import *  # noqa: F401, F403
 from .race import *  # noqa: F401, F403
 from .realtoxicprompts import *  # noqa: F401, F403
+from .reasonbench import ReasonBenchDataset  # noqa: F401, F403
 from .record import *  # noqa: F401, F403
 from .safety import *  # noqa: F401, F403
 from .scibench import ScibenchDataset, scibench_postprocess  # noqa: F401, F403

opencompass/datasets/reasonbench/ReasonBenchDataset.py

+import json
+
+from datasets import Dataset
+
+from opencompass.registry import LOAD_DATASET
+
+from ..base import BaseDataset
+
+
+@LOAD_DATASET.register_module()
+class ReasonBenchDataset(BaseDataset):
+
+    @staticmethod
+    def load(path: str):
+        raw_data = []
+        with open(path, 'r', encoding='utf-8') as f:
+            for line in f:
+                line = json.loads(line)
+                prompt = line['prompt']
+                prompt_ppl = line['prompt_ppl']
+                label = line['label']
+                label_ppl = line['label_ppl']
+                choices = line['choices']
+                tag = line['tag']
+                source = line['source']
+                option_content = {choice: line[choice] for choice in choices}
+                data = {
+                    'prompt': prompt,
+                    'label': label,
+                    'prompt_ppl': prompt_ppl,
+                    'label_ppl': str(label_ppl)[0],
+                    'choices': choices,
+                    'tag': tag,
+                    'source': source,
+                }
+                data.update(option_content)
+                raw_data.append(data)
+        dataset = Dataset.from_list(raw_data)
+        return dataset

opencompass/datasets/reasonbench/__init__.py

+from .ReasonBenchDataset import *  # noqa: F401, F403