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Honor start_date/end_date and release_version on every loader path #154

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Honor start_date/end_date and release_version on every loader path #154

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2 changes: 1 addition & 1 deletion lcb_runner/benchmarks/code_execution.py
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Original file line number Diff line number Diff line change
Expand Up @@ -57,7 +57,7 @@ def get_evaluation_sample(self) -> dict:


def load_code_execution_dataset(release_version="release_v1") -> list[CodeExecutionProblem]:
dataset = load_dataset("livecodebench/execution-v2", split="test")
dataset = load_dataset("livecodebench/execution-v2", split="test", version_tag=release_version, trust_remote_code=True)
dataset = [CodeExecutionProblem(**p) for p in dataset] # type: ignore
print(f"Loaded {len(dataset)} problems")
return dataset
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12 changes: 10 additions & 2 deletions lcb_runner/benchmarks/code_generation.py
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Expand Up @@ -136,9 +136,17 @@ def load_code_generation_dataset(release_version="release_v1", start_date=None,
return dataset


def load_code_generation_dataset_not_fast(release_version="release_v1") -> list[CodeGenerationProblem]:
dataset = load_dataset("livecodebench/code_generation", split="test")
def load_code_generation_dataset_not_fast(release_version="release_v1", start_date=None, end_date=None) -> list[CodeGenerationProblem]:
dataset = load_dataset("livecodebench/code_generation", split="test", version_tag=release_version, trust_remote_code=True)
dataset = [CodeGenerationProblem(**p) for p in dataset] # type: ignore
if start_date is not None:
p_start_date = datetime.strptime(start_date, "%Y-%m-%d")
dataset = [e for e in dataset if p_start_date <= e.contest_date]

if end_date is not None:
p_end_date = datetime.strptime(end_date, "%Y-%m-%d")
dataset = [e for e in dataset if e.contest_date <= p_end_date]

print(f"Loaded {len(dataset)} problems")
return dataset

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2 changes: 1 addition & 1 deletion lcb_runner/benchmarks/test_output_prediction.py
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Expand Up @@ -60,7 +60,7 @@ def get_evaluation_sample(self) -> dict:


def load_test_prediction_dataset(release_version="release_v1") -> list[TestOutputPredictionProblem]:
dataset = load_dataset("livecodebench/test_generation", split="test") # type: ignore
dataset = load_dataset("livecodebench/test_generation", split="test", version_tag=release_version, trust_remote_code=True) # type: ignore
dataset = [TestOutputPredictionProblem(**d) for d in dataset]
print(f"Loaded {len(dataset)} prediction problems")
return dataset
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12 changes: 10 additions & 2 deletions lcb_runner/runner/scenario_router.py
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Expand Up @@ -50,7 +50,11 @@ def build_prompt_benchmark(
if scenario == Scenario.codegeneration:
not_fast: bool = args.not_fast
if not_fast:
benchmark = load_code_generation_dataset_not_fast(args.release_version)
benchmark = load_code_generation_dataset_not_fast(
args.release_version,
start_date=args.start_date,
end_date=args.end_date,
)
else:
benchmark = load_code_generation_dataset(
args.release_version,
Expand All @@ -64,7 +68,11 @@ def build_prompt_benchmark(
benchmark = sorted(benchmark, key=lambda x: (x.question_id, x.test_id))
format_prompt = format_prompt_test_output
elif scenario == Scenario.selfrepair:
benchmark = load_code_generation_dataset(args.release_version)
benchmark = load_code_generation_dataset(
args.release_version,
start_date=args.start_date,
end_date=args.end_date,
)
benchmark = sorted(benchmark, key=lambda x: x.question_id)
format_prompt = format_prompt_self_repair
elif scenario == Scenario.codeexecution:
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