feat: support selective eval task

Author: terryyz

bigcodebench/evaluate.py

@@ -119,6 +119,7 @@ def evaluate(
     samples: Optional[str] = None,
     no_execute: bool = False,
     local_execute: bool = False,
+    selective_evaluate: str = "",
     remote_execute_api: str = "https://bigcode-bigcodebench-evaluator.hf.space/",
     pass_k: str = "1,5,10",
     save_pass_rate: bool = True,
@@ -168,6 +169,7 @@ def evaluate(
                     calibrated=calibrated,
                     check_gt_only=check_gt_only,
                     no_gt=no_gt,
+                    selective_evaluate=selective_evaluate,
                     api_name="/predict"
                 )
                 break
@@ -193,6 +195,14 @@ def evaluate(
             samples = "__dummy__.jsonl"
 
         problems = get_bigcodebench(subset=subset)
+        
+        # Add selective evaluation logic
+        if selective_evaluate:
+            selected_ids = set(selective_evaluate.split(","))
+            problems = {k: v for k, v in problems.items() if k in selected_ids}
+            if not problems:
+                raise ValueError(f"None of the provided task IDs {selected_ids} were found in the dataset")
+
         dataset_hash = get_bigcodebench_hash(subset=subset)
 
         if not no_gt:
@@ -240,10 +250,9 @@ def evaluate(
                         task_id = sample["task_id"]
 
                         if task_id not in problems:
-                            warn(
-                                f"Task {task_id} is found in the samples but not found in the dataset"
-                            )
+                            # Skip if task is not in problems (either not in dataset or filtered out by selective_evaluate)
                             continue
+                            
                         solution = (
                             sample["solution"]
                             if "solution" in sample
@@ -267,8 +276,10 @@ def evaluate(
                         completion_id[task_id] += 1
                         n_samples += 1
 
+                    # Modify the assertion to account for selective evaluation
                     assert n_samples == len(remainings), "Missing problems in unfinished"
-                    assert len(completion_id) == len(problems), "Missing problems in samples"
+                    # Only check against problems that weren't filtered out
+                    assert len(completion_id) == len(problems), f"Missing problems in samples. Expected {len(problems)} problems, got {len(completion_id)}"
 
                     def stucking_checker():
                         while remainings: