[Fix] Simplify needlebench summarizer (#1024)

* Conflicts:
	configs/summarizers/needlebench.py

* fix lint problems

configs/datasets/needlebench/atc/atc_choice_50.py

+from mmengine.config import read_base
+with read_base():
+    from .atc_choice_20 import *
+ 
+needle_num_list = list(range(2, 50, 1))
+needlebench_datasets = []
+
+for _name in list(single_choice_prompts.keys()):
+
+    needlebench_atc_infer_cfg = dict(
+        prompt_template=dict(
+            type=PromptTemplate,
+            template=dict(
+                round=(single_choice_prompts[_name])),
+        ),
+        retriever=dict(type=ZeroRetriever),
+        inferencer=dict(type=GenInferencer,),
+    )
+
+    needlebench_atc_eval_cfg = dict(
+        evaluator=dict(type=CircularEvaluator),
+        pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'))
+
+    for num_needles in needle_num_list:
+        abbr = (f'NeedleBenchATCDataset-'
+                f'{num_needles}Needle-{"EN" if "en" in _name else "ZH"}')
+        language = "English" if "en" in _name else "Chinese"
+        if 'reasoning' in _name:
+            abbr += '-Reasoning'
+        dataset_dict = {
+            'abbr': abbr,
+            'type': NeedleBenchATCDataset,
+            'path': names_path,
+            'num_needles': num_needles,
+            'language': language,
+            'repeats': repeats,
+            'with_circular': with_circular_eval,
+            'reader_cfg': needlebench_atc_reader_cfg,
+            'infer_cfg': needlebench_atc_infer_cfg,
+            'eval_cfg': needlebench_atc_eval_cfg
+        }
+        needlebench_datasets.append(dataset_dict)
+

configs/datasets/needlebench/atc/atc_choice_80.py

+from mmengine.config import read_base
+with read_base():
+    from .atc_choice_20 import *
+ 
+needle_num_list = list(range(2, 80, 1))
+needlebench_datasets = []
+
+for _name in list(single_choice_prompts.keys()):
+
+    needlebench_atc_infer_cfg = dict(
+        prompt_template=dict(
+            type=PromptTemplate,
+            template=dict(
+                round=(single_choice_prompts[_name])),
+        ),
+        retriever=dict(type=ZeroRetriever),
+        inferencer=dict(type=GenInferencer,),
+    )
+
+    needlebench_atc_eval_cfg = dict(
+        evaluator=dict(type=CircularEvaluator),
+        pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'))
+
+    for num_needles in needle_num_list:
+        abbr = (f'NeedleBenchATCDataset-'
+                f'{num_needles}Needle-{"EN" if "en" in _name else "ZH"}')
+        language = "English" if "en" in _name else "Chinese"
+        if 'reasoning' in _name:
+            abbr += '-Reasoning'
+        dataset_dict = {
+            'abbr': abbr,
+            'type': NeedleBenchATCDataset,
+            'path': names_path,
+            'num_needles': num_needles,
+            'language': language,
+            'repeats': repeats,
+            'with_circular': with_circular_eval,
+            'reader_cfg': needlebench_atc_reader_cfg,
+            'infer_cfg': needlebench_atc_infer_cfg,
+            'eval_cfg': needlebench_atc_eval_cfg
+        }
+        needlebench_datasets.append(dataset_dict)
+