[Feature] Longbench dataset update

Author: MaiziXiao

configs/datasets/longbench/longbench2wikimqa/longbench_2wikimqa_gen_6b3efc.py

@@ -7,32 +7,37 @@
     input_columns=['context', 'input'],
     output_column='answers',
     train_split='test',
-    test_split='test'
+    test_split='test',
 )
 
 LongBench_2wikimqa_infer_cfg = dict(
     prompt_template=dict(
         type=PromptTemplate,
         template=dict(
             round=[
-                dict(role='HUMAN', prompt='Answer the question based on the given passages. Only give me the answer and do not output any other words.\n\nThe following are given passages.\n{context}\n\nAnswer the question based on the given passages. Only give me the answer and do not output any other words.\n\nQuestion: {input}\nAnswer:'),
-            ], )),
+                dict(
+                    role='HUMAN',
+                    prompt='Answer the question based on the given passages. Only give me the answer and do not output any other words.\n\nThe following are given passages.\n{context}\n\nAnswer the question based on the given passages. Only give me the answer and do not output any other words.\n\nQuestion: {input}\nAnswer:',
+                ),
+            ],
+        ),
+    ),
     retriever=dict(type=ZeroRetriever),
-    inferencer=dict(type=GenInferencer, max_out_len=32)
+    inferencer=dict(type=GenInferencer, max_out_len=32),
 )
 
 LongBench_2wikimqa_eval_cfg = dict(
-    evaluator=dict(type=LongBenchF1Evaluator),
-    pred_role='BOT'
+    evaluator=dict(type=LongBenchF1Evaluator), pred_role='BOT'
 )
 
 LongBench_2wikimqa_datasets = [
     dict(
         type=LongBench2wikimqaDataset,
         abbr='LongBench_2wikimqa',
-        path='THUDM/LongBench',
+        path='opencompass/Longbench',
         name='2wikimqa',
         reader_cfg=LongBench_2wikimqa_reader_cfg,
         infer_cfg=LongBench_2wikimqa_infer_cfg,
-        eval_cfg=LongBench_2wikimqa_eval_cfg)
+        eval_cfg=LongBench_2wikimqa_eval_cfg,
+    )
 ]

configs/datasets/longbench/longbenchdureader/longbench_dureader_gen_c6c7e4.py

@@ -7,32 +7,37 @@
     input_columns=['context', 'input'],
     output_column='answers',
     train_split='test',
-    test_split='test'
+    test_split='test',
 )
 
 LongBench_dureader_infer_cfg = dict(
     prompt_template=dict(
         type=PromptTemplate,
         template=dict(
             round=[
-                dict(role='HUMAN', prompt='请基于给定的文章回答下述问题。\n\n文章：{context}\n\n请基于上述文章回答下面的问题。\n\n问题：{input}\n回答：'),
-            ], )),
+                dict(
+                    role='HUMAN',
+                    prompt='请基于给定的文章回答下述问题。\n\n文章：{context}\n\n请基于上述文章回答下面的问题。\n\n问题：{input}\n回答：',
+                ),
+            ],
+        ),
+    ),
     retriever=dict(type=ZeroRetriever),
-    inferencer=dict(type=GenInferencer, max_out_len=128)
+    inferencer=dict(type=GenInferencer, max_out_len=128),
 )
 
 LongBench_dureader_eval_cfg = dict(
-    evaluator=dict(type=LongBenchRougeEvaluator, language='zh'),
-    pred_role='BOT'
+    evaluator=dict(type=LongBenchRougeEvaluator, language='zh'), pred_role='BOT'
 )
 
 LongBench_dureader_datasets = [
     dict(
         type=LongBenchdureaderDataset,
         abbr='LongBench_dureader',
-        path='THUDM/LongBench',
+        path='opencompass/Longbench',
         name='dureader',
         reader_cfg=LongBench_dureader_reader_cfg,
         infer_cfg=LongBench_dureader_infer_cfg,
-        eval_cfg=LongBench_dureader_eval_cfg)
+        eval_cfg=LongBench_dureader_eval_cfg,
+    )
 ]