[Fix] Refactor Needlebench Configs for CLI Testing Support (#1020)

* add needlebench datasets suffix

* fix import

* update run.py args for summarizer key and dataset suffix

* update utils/run.py

configs/datasets/needlebench/needlebench_32k/needlebench_single.py → configs/datasets/needlebench/needlebench_32k/needlebench_single_32k.py

@@ -59,7 +59,7 @@ document_depth_percent_interval_type = "linear"
 
 base_path = './data/needlebench'
 file_list = ['PaulGrahamEssays.jsonl']
-needlebench_datasets_en = []
+needlebench_en_datasets = []
 needle_file_name = 'needles.jsonl'
 
 for original_context_length in context_lengths:
@@ -82,10 +82,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_en.append(dataset_dict)
+        needlebench_en_datasets.append(dataset_dict)
 
 file_list = ['zh_finance.jsonl']
-needlebench_datasets_zh = []
+needlebench_zh_datasets = []
 needle_file_name = 'needles.jsonl'
 
 for original_context_length in context_lengths:
@@ -108,4 +108,4 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_zh.append(dataset_dict)
+        needlebench_zh_datasets.append(dataset_dict)

configs/datasets/needlebench/needlebench_4k/needlebench.py

-from mmengine.config import read_base
-
-with read_base():
-    from .needlebench_multi_reasoning import needlebench_datasets_2needle_en as needlebench_multi_2needle_en_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_3needle_en as needlebench_multi_3needle_en_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_4needle_en as needlebench_multi_4needle_en_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_5needle_en as needlebench_multi_5needle_en_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_2needle_zh as needlebench_multi_2needle_zh_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_3needle_zh as needlebench_multi_3needle_zh_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_4needle_zh as needlebench_multi_4needle_zh_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_5needle_zh as needlebench_multi_5needle_zh_datasets
-
-    from .needlebench_single import needlebench_datasets_en as needlebench_origin_en_datasets
-    from .needlebench_single import needlebench_datasets_zh as needlebench_origin_zh_datasets
-    from .needlebench_multi_retrieval import needlebench_datasets_en as needlebench_parallel_en_datasets
-    from .needlebench_multi_retrieval import needlebench_datasets_zh as needlebench_parallel_zh_datasets
-
-needlebench_datasets = sum((v for k, v in locals().items() if k.endswith('_datasets')), [])

configs/datasets/needlebench/needlebench_4k/needlebench_4k.py

+from mmengine.config import read_base
+
+with read_base():
+    from .needlebench_multi_reasoning_4k import needlebench_2needle_en_datasets as needlebench_multi_2needle_en_datasets
+    from .needlebench_multi_reasoning_4k import needlebench_3needle_en_datasets as needlebench_multi_3needle_en_datasets
+    from .needlebench_multi_reasoning_4k import needlebench_4needle_en_datasets as needlebench_multi_4needle_en_datasets
+    from .needlebench_multi_reasoning_4k import needlebench_5needle_en_datasets as needlebench_multi_5needle_en_datasets
+    from .needlebench_multi_reasoning_4k import needlebench_2needle_zh_datasets as needlebench_multi_2needle_zh_datasets
+    from .needlebench_multi_reasoning_4k import needlebench_3needle_zh_datasets as needlebench_multi_3needle_zh_datasets
+    from .needlebench_multi_reasoning_4k import needlebench_4needle_zh_datasets as needlebench_multi_4needle_zh_datasets
+    from .needlebench_multi_reasoning_4k import needlebench_5needle_zh_datasets as needlebench_multi_5needle_zh_datasets
+
+    from .needlebench_single_4k import needlebench_en_datasets as needlebench_origin_en_datasets
+    from .needlebench_single_4k import needlebench_zh_datasets as needlebench_origin_zh_datasets
+    from .needlebench_multi_retrieval_4k import needlebench_en_datasets as needlebench_parallel_en_datasets
+    from .needlebench_multi_retrieval_4k import needlebench_zh_datasets as needlebench_parallel_zh_datasets
+
+needlebench_datasets = sum((v for k, v in locals().items() if k.endswith('_datasets')), [])

configs/datasets/needlebench/needlebench_4k/needlebench_multi_reasoning.py → configs/datasets/needlebench/needlebench_4k/needlebench_multi_reasoning_4k.py

@@ -63,7 +63,7 @@ file_list = ['PaulGrahamEssays.jsonl']
 needle_file_name = 'multi_needle_reasoning_en.json'
 diff = 10
 num_needles = 2
-needlebench_datasets_2needle_en = []
+needlebench_2needle_en_datasets = []
 language = 'English'
 
 for original_context_length in context_lengths:
@@ -90,10 +90,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_2needle_en.append(dataset_dict)
+        needlebench_2needle_en_datasets.append(dataset_dict)
 
 num_needles = 3
-needlebench_datasets_3needle_en = []
+needlebench_3needle_en_datasets = []
 
 for original_context_length in context_lengths:
     for depth_percent in generate_depth_percents(
@@ -119,10 +119,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_3needle_en.append(dataset_dict)
+        needlebench_3needle_en_datasets.append(dataset_dict)
 
 num_needles = 4
-needlebench_datasets_4needle_en = []
+needlebench_4needle_en_datasets = []
 
 for original_context_length in context_lengths:
     for depth_percent in generate_depth_percents(
@@ -148,10 +148,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_4needle_en.append(dataset_dict)
+        needlebench_4needle_en_datasets.append(dataset_dict)
 
 num_needles = 5
-needlebench_datasets_5needle_en = []
+needlebench_5needle_en_datasets = []
 
 for original_context_length in context_lengths:
     for depth_percent in generate_depth_percents(
@@ -177,7 +177,7 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_5needle_en.append(dataset_dict)
+        needlebench_5needle_en_datasets.append(dataset_dict)
 
 # ----------Chinese Version----------
 base_path = './data/needlebench'
@@ -186,7 +186,7 @@ file_list = ['zh_finance.jsonl']
 needle_file_name = 'multi_needle_reasoning_zh.json'
 diff = 10
 num_needles = 2
-needlebench_datasets_2needle_zh = []
+needlebench_2needle_zh_datasets = []
 language = 'Chinese'
 
 for original_context_length in context_lengths:
@@ -213,10 +213,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_2needle_zh.append(dataset_dict)
+        needlebench_2needle_zh_datasets.append(dataset_dict)
 
 num_needles = 3
-needlebench_datasets_3needle_zh = []
+needlebench_3needle_zh_datasets = []
 
 for original_context_length in context_lengths:
     for depth_percent in generate_depth_percents(
@@ -242,10 +242,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_3needle_zh.append(dataset_dict)
+        needlebench_3needle_zh_datasets.append(dataset_dict)
 
 num_needles = 4
-needlebench_datasets_4needle_zh = []
+needlebench_4needle_zh_datasets = []
 
 for original_context_length in context_lengths:
     for depth_percent in generate_depth_percents(
@@ -271,10 +271,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_4needle_zh.append(dataset_dict)
+        needlebench_4needle_zh_datasets.append(dataset_dict)
 
 num_needles = 5
-needlebench_datasets_5needle_zh = []
+needlebench_5needle_zh_datasets = []
 
 for original_context_length in context_lengths:
     for depth_percent in generate_depth_percents(
@@ -300,4 +300,4 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_5needle_zh.append(dataset_dict)
+        needlebench_5needle_zh_datasets.append(dataset_dict)

configs/datasets/needlebench/needlebench_4k/needlebench_multi_retrieval.py → configs/datasets/needlebench/needlebench_4k/needlebench_multi_retrieval_4k.py

@@ -58,7 +58,7 @@ document_depth_percent_interval_type = "linear"
 
 base_path = './data/needlebench'
 file_list = ['PaulGrahamEssays.jsonl']
-needlebench_datasets_en = []
+needlebench_en_datasets = []
 needle_file_name = 'needles.jsonl'
 depths_float = generate_depth_percents(
             document_depth_percent_intervals,
@@ -84,10 +84,10 @@ for original_context_length in context_lengths:
         'infer_cfg': needlebench_infer_cfg,
         'eval_cfg': needlebench_eval_cfg
     }
-    needlebench_datasets_en.append(dataset_dict)
+    needlebench_en_datasets.append(dataset_dict)
 
 file_list = ['zh_finance.jsonl']
-needlebench_datasets_zh = []
+needlebench_zh_datasets = []
 
 for original_context_length in context_lengths:
     dataset_dict = {
@@ -108,4 +108,4 @@ for original_context_length in context_lengths:
         'infer_cfg': needlebench_infer_cfg,
         'eval_cfg': needlebench_eval_cfg
     }
-    needlebench_datasets_zh.append(dataset_dict)
+    needlebench_zh_datasets.append(dataset_dict)

configs/datasets/needlebench/needlebench_4k/needlebench_single.py → configs/datasets/needlebench/needlebench_4k/needlebench_single_4k.py

@@ -58,7 +58,7 @@ document_depth_percent_interval_type = "linear"
 
 base_path = './data/needlebench'
 file_list = ['PaulGrahamEssays.jsonl']
-needlebench_datasets_en = []
+needlebench_en_datasets = []
 needle_file_name = 'needles.jsonl'
 
 for original_context_length in context_lengths:
@@ -83,10 +83,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_en.append(dataset_dict)
+        needlebench_en_datasets.append(dataset_dict)
 
 file_list = ['zh_finance.jsonl']
-needlebench_datasets_zh = []
+needlebench_zh_datasets = []
 needle_file_name = 'needles.jsonl'
 
 for original_context_length in context_lengths:
@@ -111,4 +111,4 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_zh.append(dataset_dict)
+        needlebench_zh_datasets.append(dataset_dict)

configs/datasets/needlebench/needlebench_8k/needlebench.py

-from mmengine.config import read_base
-
-with read_base():
-    from .needlebench_multi_reasoning import needlebench_datasets_2needle_en as needlebench_multi_2needle_en_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_3needle_en as needlebench_multi_3needle_en_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_4needle_en as needlebench_multi_4needle_en_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_5needle_en as needlebench_multi_5needle_en_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_2needle_zh as needlebench_multi_2needle_zh_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_3needle_zh as needlebench_multi_3needle_zh_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_4needle_zh as needlebench_multi_4needle_zh_datasets
-    from .needlebench_multi_reasoning import needlebench_datasets_5needle_zh as needlebench_multi_5needle_zh_datasets
-
-    from .needlebench_single import needlebench_datasets_en as needlebench_origin_en_datasets
-    from .needlebench_single import needlebench_datasets_zh as needlebench_origin_zh_datasets
-    from .needlebench_multi_retrieval import needlebench_datasets_en as needlebench_parallel_en_datasets
-    from .needlebench_multi_retrieval import needlebench_datasets_zh as needlebench_parallel_zh_datasets
-
-needlebench_datasets = sum((v for k, v in locals().items() if k.endswith('_datasets')), [])

configs/datasets/needlebench/needlebench_8k/needlebench_8k.py

+from mmengine.config import read_base
+
+with read_base():
+    from .needlebench_multi_reasoning_8k import needlebench_2needle_en_datasets as needlebench_multi_2needle_en_datasets
+    from .needlebench_multi_reasoning_8k import needlebench_3needle_en_datasets as needlebench_multi_3needle_en_datasets
+    from .needlebench_multi_reasoning_8k import needlebench_4needle_en_datasets as needlebench_multi_4needle_en_datasets
+    from .needlebench_multi_reasoning_8k import needlebench_5needle_en_datasets as needlebench_multi_5needle_en_datasets
+    from .needlebench_multi_reasoning_8k import needlebench_2needle_zh_datasets as needlebench_multi_2needle_zh_datasets
+    from .needlebench_multi_reasoning_8k import needlebench_3needle_zh_datasets as needlebench_multi_3needle_zh_datasets
+    from .needlebench_multi_reasoning_8k import needlebench_4needle_zh_datasets as needlebench_multi_4needle_zh_datasets
+    from .needlebench_multi_reasoning_8k import needlebench_5needle_zh_datasets as needlebench_multi_5needle_zh_datasets
+
+    from .needlebench_single_8k import needlebench_en_datasets as needlebench_origin_en_datasets
+    from .needlebench_single_8k import needlebench_zh_datasets as needlebench_origin_zh_datasets
+    from .needlebench_multi_retrieval_8k import needlebench_en_datasets as needlebench_parallel_en_datasets
+    from .needlebench_multi_retrieval_8k import needlebench_zh_datasets as needlebench_parallel_zh_datasets
+
+needlebench_datasets = sum((v for k, v in locals().items() if k.endswith('_datasets')), [])

configs/datasets/needlebench/needlebench_8k/needlebench_multi_reasoning.py → configs/datasets/needlebench/needlebench_8k/needlebench_multi_reasoning_8k.py

@@ -63,7 +63,7 @@ file_list = ['PaulGrahamEssays.jsonl']
 needle_file_name = 'multi_needle_reasoning_en.json'
 diff = 10
 num_needles = 2
-needlebench_datasets_2needle_en = []
+needlebench_2needle_en_datasets = []
 language = 'English'
 
 for original_context_length in context_lengths:
@@ -90,10 +90,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_2needle_en.append(dataset_dict)
+        needlebench_2needle_en_datasets.append(dataset_dict)
 
 num_needles = 3
-needlebench_datasets_3needle_en = []
+needlebench_3needle_en_datasets = []
 
 for original_context_length in context_lengths:
     for depth_percent in generate_depth_percents(
@@ -119,10 +119,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_3needle_en.append(dataset_dict)
+        needlebench_3needle_en_datasets.append(dataset_dict)
 
 num_needles = 4
-needlebench_datasets_4needle_en = []
+needlebench_4needle_en_datasets = []
 
 for original_context_length in context_lengths:
     for depth_percent in generate_depth_percents(
@@ -148,10 +148,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_4needle_en.append(dataset_dict)
+        needlebench_4needle_en_datasets.append(dataset_dict)
 
 num_needles = 5
-needlebench_datasets_5needle_en = []
+needlebench_5needle_en_datasets = []
 
 for original_context_length in context_lengths:
     for depth_percent in generate_depth_percents(
@@ -177,7 +177,7 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_5needle_en.append(dataset_dict)
+        needlebench_5needle_en_datasets.append(dataset_dict)
 
 # ----------Chinese Version----------
 base_path = './data/needlebench'
@@ -186,7 +186,7 @@ file_list = ['zh_finance.jsonl']
 needle_file_name = 'multi_needle_reasoning_zh.json'
 diff = 10
 num_needles = 2
-needlebench_datasets_2needle_zh = []
+needlebench_2needle_zh_datasets = []
 language = 'Chinese'
 
 for original_context_length in context_lengths:
@@ -213,10 +213,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_2needle_zh.append(dataset_dict)
+        needlebench_2needle_zh_datasets.append(dataset_dict)
 
 num_needles = 3
-needlebench_datasets_3needle_zh = []
+needlebench_3needle_zh_datasets = []
 
 for original_context_length in context_lengths:
     for depth_percent in generate_depth_percents(
@@ -242,10 +242,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_3needle_zh.append(dataset_dict)
+        needlebench_3needle_zh_datasets.append(dataset_dict)
 
 num_needles = 4
-needlebench_datasets_4needle_zh = []
+needlebench_4needle_zh_datasets = []
 
 for original_context_length in context_lengths:
     for depth_percent in generate_depth_percents(
@@ -271,10 +271,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_4needle_zh.append(dataset_dict)
+        needlebench_4needle_zh_datasets.append(dataset_dict)
 
 num_needles = 5
-needlebench_datasets_5needle_zh = []
+needlebench_5needle_zh_datasets = []
 
 for original_context_length in context_lengths:
     for depth_percent in generate_depth_percents(
@@ -300,4 +300,4 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_5needle_zh.append(dataset_dict)
+        needlebench_5needle_zh_datasets.append(dataset_dict)

configs/datasets/needlebench/needlebench_8k/needlebench_multi_retrieval.py → configs/datasets/needlebench/needlebench_8k/needlebench_multi_retrieval_8k.py

@@ -58,7 +58,7 @@ document_depth_percent_interval_type = "linear"
 
 base_path = './data/needlebench'
 file_list = ['PaulGrahamEssays.jsonl']
-needlebench_datasets_en = []
+needlebench_en_datasets = []
 needle_file_name = 'needles.jsonl'
 depths_float = generate_depth_percents(
             document_depth_percent_intervals,
@@ -84,10 +84,10 @@ for original_context_length in context_lengths:
         'infer_cfg': needlebench_infer_cfg,
         'eval_cfg': needlebench_eval_cfg
     }
-    needlebench_datasets_en.append(dataset_dict)
+    needlebench_en_datasets.append(dataset_dict)
 
 file_list = ['zh_finance.jsonl']
-needlebench_datasets_zh = []
+needlebench_zh_datasets = []
 
 for original_context_length in context_lengths:
     dataset_dict = {
@@ -108,4 +108,4 @@ for original_context_length in context_lengths:
         'infer_cfg': needlebench_infer_cfg,
         'eval_cfg': needlebench_eval_cfg
     }
-    needlebench_datasets_zh.append(dataset_dict)
+    needlebench_zh_datasets.append(dataset_dict)

configs/datasets/needlebench/needlebench_8k/needlebench_multi_retrieval_compare_batch.py → configs/datasets/needlebench/needlebench_8k/needlebench_multi_retrieval_compare_batch_8k.py

@@ -58,7 +58,7 @@ document_depth_percent_interval_type = "linear"
 
 base_path = './data/needlebench'
 file_list = ['PaulGrahamEssays.jsonl']
-needlebench_datasets_en = []
+needlebench_en_datasets = []
 needle_file_name = 'needles.jsonl'
 
 for document_depth_percent_intervals in document_depth_percent_intervals_list:
@@ -86,10 +86,10 @@ for document_depth_percent_intervals in document_depth_percent_intervals_list:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_en.append(dataset_dict)
+        needlebench_en_datasets.append(dataset_dict)
 
 file_list = ['zh_finance.jsonl']
-needlebench_datasets_zh = []
+needlebench_zh_datasets = []
 needle_file_name = 'needles.jsonl'
 
 for document_depth_percent_intervals in document_depth_percent_intervals_list:
@@ -117,4 +117,4 @@ for document_depth_percent_intervals in document_depth_percent_intervals_list:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_zh.append(dataset_dict)
+        needlebench_zh_datasets.append(dataset_dict)

configs/datasets/needlebench/needlebench_8k/needlebench_single.py → configs/datasets/needlebench/needlebench_8k/needlebench_single_8k.py

@@ -58,7 +58,7 @@ document_depth_percent_interval_type = "linear"
 
 base_path = './data/needlebench'
 file_list = ['PaulGrahamEssays.jsonl']
-needlebench_datasets_en = []
+needlebench_en_datasets = []
 needle_file_name = 'needles.jsonl'
 
 for original_context_length in context_lengths:
@@ -83,10 +83,10 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_en.append(dataset_dict)
+        needlebench_en_datasets.append(dataset_dict)
 
 file_list = ['zh_finance.jsonl']
-needlebench_datasets_zh = []
+needlebench_zh_datasets = []
 needle_file_name = 'needles.jsonl'
 
 for original_context_length in context_lengths:
@@ -111,4 +111,4 @@ for original_context_length in context_lengths:
             'infer_cfg': needlebench_infer_cfg,
             'eval_cfg': needlebench_eval_cfg
         }
-        needlebench_datasets_zh.append(dataset_dict)
+        needlebench_zh_datasets.append(dataset_dict)

opencompass/utils/run.py

@@ -70,11 +70,19 @@ def get_config_from_arg(args) -> Config:
     datasets = []
     if args.datasets:
         datasets_dir = os.path.join(args.config_dir, 'datasets')
-        for dataset in match_cfg_file(datasets_dir, args.datasets):
+        for dataset_arg in args.datasets:
+            if '/' in dataset_arg:
+                dataset_name, dataset_suffix = dataset_arg.split('/', 1)
+                dataset_key_suffix = dataset_suffix
+            else:
+                dataset_name = dataset_arg
+                dataset_key_suffix = '_datasets'
+
+            for dataset in match_cfg_file(datasets_dir, [dataset_name]):
                 get_logger().info(f'Loading {dataset[0]}: {dataset[1]}')
                 cfg = Config.fromfile(dataset[1])
                 for k in cfg.keys():
-                if k.endswith('_datasets'):
+                    if k.endswith(dataset_key_suffix):
                         datasets += cfg[k]
     else:
         dataset = {'path': args.custom_dataset_path}
@@ -119,12 +127,26 @@ def get_config_from_arg(args) -> Config:
                      run_cfg=dict(num_gpus=args.num_gpus))
         models.append(model)
     # parse summarizer args
-    summarizer = args.summarizer if args.summarizer is not None else 'example'
+    summarizer_arg = args.summarizer if args.summarizer is not None \
+        else 'example'
     summarizers_dir = os.path.join(args.config_dir, 'summarizers')
-    s = match_cfg_file(summarizers_dir, [summarizer])[0]
+
+    # Check if summarizer_arg contains '/'
+    if '/' in summarizer_arg:
+        # If it contains '/', split the string by '/'
+        # and use the second part as the configuration key
+        summarizer_file, summarizer_key = summarizer_arg.split('/', 1)
+    else:
+        # If it does not contain '/', keep the original logic unchanged
+        summarizer_key = 'summarizer'
+        summarizer_file = summarizer_arg
+
+    s = match_cfg_file(summarizers_dir, [summarizer_file])[0]
     get_logger().info(f'Loading {s[0]}: {s[1]}')
     cfg = Config.fromfile(s[1])
-    summarizer = cfg['summarizer']
+    # Use summarizer_key to retrieve the summarizer definition
+    # from the configuration file
+    summarizer = cfg[summarizer_key]
 
     return Config(dict(models=models, datasets=datasets,
                        summarizer=summarizer),