bigcodebench update

opencompass/configs/datasets/bigcodebench/bigcodebench_full_complete_gen_faf748.py

@@ -34,7 +34,8 @@ bigcodebench_full_eval_cfg = dict(
         type=BigCodeBenchEvaluator,
         release_version='v0.1.2',
         eval_type='complete',
-        remote_execute_api='https://bigcode-bigcodebench-evaluator.hf.space/',
+        # remote_execute_api='https://bigcode-bigcodebench-evaluator.hf.space/',
+        remote_execute_api='https://opencompass-opencompass-bigcodebench-evaluator.hf.space',  # noqa: E501
         dataset_version='full',
     ),
     pred_role='BOT',
@@ -50,4 +51,4 @@ bigcodebench_full_complete_datasets = [
         eval_cfg=bigcodebench_full_eval_cfg,
         release_version='v0.1.2'
     )
-]
+]

opencompass/configs/datasets/bigcodebench/bigcodebench_full_instruct_gen_8815eb.py

@@ -34,7 +34,8 @@ bigcodebench_full_eval_cfg = dict(
         type=BigCodeBenchEvaluator,
         release_version='v0.1.2',
         eval_type='instruct',
-        remote_execute_api='https://bigcode-bigcodebench-evaluator.hf.space/',
+        # remote_execute_api='https://bigcode-bigcodebench-evaluator.hf.space/',
+        remote_execute_api='https://opencompass-opencompass-bigcodebench-evaluator.hf.space',  # noqa: E501
         dataset_version='full',
     ),
     pred_role='BOT',
@@ -50,4 +51,4 @@ bigcodebench_full_instruct_datasets = [
         eval_cfg=bigcodebench_full_eval_cfg,
         release_version='v0.1.2'
     )
-]
+]

opencompass/configs/datasets/bigcodebench/bigcodebench_hard_complete_gen_faf748.py

@@ -34,7 +34,8 @@ bigcodebench_hard_eval_cfg = dict(
         type=BigCodeBenchEvaluator,
         release_version='v0.1.2',
         eval_type='complete',
-        remote_execute_api='https://bigcode-bigcodebench-evaluator.hf.space/',
+        # remote_execute_api='https://bigcode-bigcodebench-evaluator.hf.space/',
+        remote_execute_api='https://opencompass-opencompass-bigcodebench-evaluator.hf.space',  # noqa: E501
         dataset_version='hard',
     ),
     pred_role='BOT',
@@ -51,4 +52,4 @@ bigcodebench_hard_complete_datasets = [
         release_version='v0.1.2',
         dataset_version='hard',
     )
-]
+]

opencompass/configs/datasets/bigcodebench/bigcodebench_hard_instruct_gen_8815eb.py

@@ -34,7 +34,8 @@ bigcodebench_hard_eval_cfg = dict(
         type=BigCodeBenchEvaluator,
         release_version='v0.1.2',
         eval_type='instruct',
-        remote_execute_api='https://bigcode-bigcodebench-evaluator.hf.space/',
+        # remote_execute_api='https://bigcode-bigcodebench-evaluator.hf.space/',
+        remote_execute_api='https://opencompass-opencompass-bigcodebench-evaluator.hf.space',  # noqa: E501
         dataset_version='hard',
     ),
     pred_role='BOT',
@@ -51,4 +52,4 @@ bigcodebench_hard_instruct_datasets = [
         release_version='v0.1.2',
         dataset_version='hard',
     )
-]
+]

opencompass/configs/datasets/livecodebench/livecodebench_time_split_gen.py

@@ -0,0 +1,167 @@
+from opencompass.openicl.icl_prompt_template import PromptTemplate
+from opencompass.openicl.icl_retriever import ZeroRetriever
+from opencompass.openicl.icl_inferencer import GenInferencer
+from opencompass.datasets import (
+    LCBCodeGenerationDataset,
+    LCBCodeExecutionDataset,
+    LCBTestOutputPredictionDataset,
+    LCBCodeGenerationEvaluator,
+    LCBCodeExecutionEvaluator,
+    LCBTestOutputEvaluator
+)
+
+
+lcb_code_generation_reader_cfg = dict(
+    input_columns=[
+        'question_content',
+        'format_prompt',
+    ],
+    # output_column='evaluation_sample',
+    output_column='question_id',
+)
+
+SYSTEM_MESSAGE_GENERIC = 'You are an expert Python programmer. You will be given a question (problem specification) and will generate a correct Python program that matches the specification and passes all tests. You will NOT return anything except for the program.'  # noqa: E501
+
+prompt_template = '### Question:\n{question_content}\n\n{format_prompt}' + \
+                    '### Answer: (use the provided format with backticks)\n\n'
+
+
+# Code Generation Tasks
+lcb_code_generation_infer_cfg = dict(
+    prompt_template=dict(
+        type=PromptTemplate,
+        template=dict(
+            round=[
+                dict(
+                    role='HUMAN',
+                    prompt=prompt_template
+                )
+            ]
+        )
+    ),
+    retriever=dict(type=ZeroRetriever),
+    inferencer=dict(type=GenInferencer)
+)
+
+lcb_code_generation_eval_cfg = dict(
+    evaluator=dict(
+        type=LCBCodeGenerationEvaluator,
+        num_process_evaluate=4,
+        timeout=6,
+        release_version='release_v5',
+        start_date='2024-08-01',
+        end_date='2025-02-01'
+    ),
+    pred_role='BOT',
+)
+
+LCBCodeGeneration_dataset = dict(
+    type=LCBCodeGenerationDataset,
+    abbr='lcb_code_generation',
+    path='opencompass/code_generation_lite',
+    reader_cfg=lcb_code_generation_reader_cfg,
+    infer_cfg=lcb_code_generation_infer_cfg,
+    eval_cfg=lcb_code_generation_eval_cfg,
+    release_version='release_v5',
+)
+
+# Code Execution Dataset
+lcb_code_execution_reader_cfg = dict(
+    input_columns=[
+        'prompt',
+    ],
+    output_column='evaluation_sample',
+)
+
+lcb_code_execution_infer_cfg = dict(
+    prompt_template=dict(
+        type=PromptTemplate,
+        template=dict(
+            begin=[
+                dict(
+                    role='SYSTEM',
+                    fallback_role='HUMAN',
+                    prompt='You are an expert at Python programming, code execution, test case generation, and fuzzing.'  # noqa: E501
+                ),
+            ],
+            round=[
+                dict(
+                    role='HUMAN',
+                    prompt='{prompt}'
+                )
+            ]
+        )
+    ),
+    retriever=dict(type=ZeroRetriever),
+    inferencer=dict(type=GenInferencer)
+)
+
+lcb_code_execution_eval_cfg = dict(
+    evaluator=dict(
+        type=LCBCodeExecutionEvaluator,
+    ),
+    pred_role='BOT',
+)
+
+LCBCodeExecution_dataset = dict(
+    type=LCBCodeExecutionDataset,
+    abbr='lcb_code_execution',
+    path='opencompass/execution-v2',
+    reader_cfg=lcb_code_execution_reader_cfg,
+    infer_cfg=lcb_code_execution_infer_cfg,
+    eval_cfg=lcb_code_execution_eval_cfg,
+)
+
+# TestOuputput Dataset
+lcb_test_output_reader_cfg = dict(
+    input_columns=[
+        'prompt',
+    ],
+    output_column='evaluation_sample',
+)
+
+system_prompt = 'You are an expert Python programmer. You will be given a question (problem specification) and will generate a correct Python program that matches the specification and passes all tests. You will NOT return anything except for the program.'  # noqa: E501
+
+lcb_test_output_infer_cfg = dict(
+    prompt_template=dict(
+        type=PromptTemplate,
+        template=dict(
+            # begin=[
+            #     dict(
+            #         role='SYSTEM',
+            #         prompt=system_prompt
+            #     ),
+            # ],
+            round=[
+                dict(
+                    role='HUMAN',
+                    prompt='{prompt}'
+                )
+            ]
+        )
+    ),
+    retriever=dict(type=ZeroRetriever),
+    inferencer=dict(type=GenInferencer)
+)
+
+lcb_test_output_eval_cfg = dict(
+    evaluator=dict(
+        type=LCBTestOutputEvaluator,
+    ),
+    pred_role='BOT',
+)
+
+LCBTestOutput_dataset = dict(
+    type=LCBTestOutputPredictionDataset,
+    abbr='lcb_test_output',
+    path='opencompass/test_generation',
+    reader_cfg=lcb_test_output_reader_cfg,
+    infer_cfg=lcb_test_output_infer_cfg,
+    eval_cfg=lcb_test_output_eval_cfg,
+)
+
+LCB_datasets = [
+    LCBCodeGeneration_dataset,
+    LCBCodeExecution_dataset,
+    LCBTestOutput_dataset,
+]

opencompass/datasets/bigcodebench/bigcodebench.py

@@ -197,11 +197,21 @@ class BigCodeBenchEvaluator(BaseEvaluator):
                 break
             except (httpx.ReadTimeout, CancelledError):
                 logger.info('Read timeout error. Retrying in 4s...')
-                time.sleep(4)
+                time.sleep(10)
 
         if 'pass@1' in pass_at_k.keys():
             pass_at_k['pass@1'] *= 100
-        dump_results = {'details': results}
+        dump_results = {'details': self._results_processor(results)}
         dump_results.update(pass_at_k)
 
         return dump_results
+
+    def _results_processor(self, results):
+        details = []
+        for key, value in results['eval'].items():
+            if value[0]['status'] == 'pass':
+                value[0]['correct'] = True
+            else:
+                value[0]['correct'] = False
+            details.append(value[0])
+        return details