Add mixed-prefix gsm8k eval and its CPU unit test (#27502)

This commit is contained in:
fzyzcjy
2026-06-09 20:17:41 +08:00
committed by GitHub
parent fdcd28a08d
commit 609f5f549c
4 changed files with 265 additions and 5 deletions
+23
View File
@@ -178,6 +178,17 @@ def run_eval(args):
num_shots=getattr(args, "num_shots", 5),
data_path=getattr(args, "gsm8k_data_path", None),
)
elif args.eval_name == "mixed_prefix_gsm8k":
from sglang.test.simple_eval_mixed_prefix_gsm8k import MixedPrefixGSM8KEval
eval_obj = MixedPrefixGSM8KEval(
num_examples=args.num_examples,
num_threads=args.num_threads,
num_shots=args.num_shots,
secondary_pool_size=args.mixed_prefix_gsm8k_secondary_pool_size,
data_path=args.gsm8k_data_path,
seed=args.mixed_prefix_gsm8k_seed,
)
else:
raise ValueError(f"Invalid eval name: {args.eval_name}")
@@ -367,6 +378,18 @@ if __name__ == "__main__":
default=None,
help="Path to GSM8K data file (e.g., test.jsonl)",
)
parser.add_argument(
"--mixed-prefix-gsm8k-secondary-pool-size",
type=int,
default=15,
help="Size of secondary example pool for eval_name=mixed_prefix_gsm8k (default: 15)",
)
parser.add_argument(
"--mixed-prefix-gsm8k-seed",
type=int,
default=42,
help="Seed for per-question random sampling in mixed_prefix_gsm8k (default: 42)",
)
args = parser.parse_args()
+14 -5
View File
@@ -56,20 +56,29 @@ class GSM8KEval(Eval):
else:
filename = download_and_cache_file(GSM8K_URL)
self._lines = list(read_jsonl(filename))
self._few_shot_prompt = get_few_shot_examples(self._lines, num_shots)
all_lines = list(read_jsonl(filename))
pool_size = self._setup_prefix_pool(all_lines, num_shots)
# The evaluation data should not include the few-shot examples to prevent data leakage.
self._lines = self._lines[num_shots:]
self._lines = all_lines[pool_size:]
if num_examples is not None:
# Slice caps silently when num_examples exceeds the available lines,
# matching upstream: callers like test_basic_sanity_eagle3 pass a
# num_examples larger than the dataset on purpose.
self._lines = self._lines[:num_examples]
def _setup_prefix_pool(self, all_lines: list, num_shots: int) -> int:
self._few_shot_prompt = get_few_shot_examples(all_lines, num_shots)
return num_shots
def _build_prefix(self, idx: int) -> str:
return self._few_shot_prompt
def __call__(self, sampler: SamplerBase) -> EvalResult:
def fn(idx: int) -> SingleEvalResult:
question = get_one_example(self._lines, idx, include_answer=False)
correct_answer = get_answer_value(self._lines[idx]["answer"])
prompt_content = self._few_shot_prompt + question
prompt_content = self._build_prefix(idx) + question
prompt_messages = [
sampler._pack_message(content=prompt_content, role="user")
]
@@ -0,0 +1,51 @@
import random
from typing import Optional
from sglang.test.simple_eval_gsm8k import GSM8KEval, get_one_example
class MixedPrefixGSM8KEval(GSM8KEval):
def __init__(
self,
num_examples: Optional[int],
num_threads: int,
num_shots: int,
secondary_pool_size: int,
data_path: Optional[str],
seed: int,
):
self._secondary_pool_size = secondary_pool_size
self._seed = seed
super().__init__(
num_examples=num_examples,
num_threads=num_threads,
num_shots=num_shots,
data_path=data_path,
)
def _setup_prefix_pool(self, all_lines: list, num_shots: int) -> int:
overall_pool_size = num_shots + self._secondary_pool_size
if len(all_lines) < overall_pool_size + 1:
raise ValueError(
f"GSM8K dataset has {len(all_lines)} examples but mixed-prefix "
f"eval needs at least {overall_pool_size + 1} "
f"(num_shots {num_shots} + secondary "
f"{self._secondary_pool_size} + 1 test)."
)
self._primary_shots = all_lines[:num_shots]
self._secondary_pool = all_lines[num_shots:overall_pool_size]
return overall_pool_size
def _build_prefix(self, idx: int) -> str:
rng = random.Random(self._seed + idx)
num_primary = rng.randint(0, self._num_shots)
secondary_size = rng.randint(0, self._secondary_pool_size)
secondary_indices = rng.sample(range(len(self._secondary_pool)), secondary_size)
primary = self._primary_shots[:num_primary]
secondary = [self._secondary_pool[i] for i in secondary_indices]
combined = primary + secondary
return "".join(
get_one_example(combined, i, include_answer=True) + "\n\n"
for i in range(len(combined))
)
@@ -0,0 +1,177 @@
import json
import os
import tempfile
import unittest
from typing import List, Tuple
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.simple_eval_gsm8k import get_one_example
from sglang.test.simple_eval_mixed_prefix_gsm8k import MixedPrefixGSM8KEval
from sglang.test.test_utils import CustomTestCase
register_cpu_ci(est_time=5, suite="base-b-test-cpu")
def _write_synthetic_dataset(path: str, n: int) -> None:
with open(path, "w") as f:
for i in range(n):
f.write(
json.dumps(
{
"question": f"Synthetic question {i}: what is {i} + {i}?",
"answer": f"The answer is {2 * i}. #### {2 * i}",
}
)
+ "\n"
)
class TestMixedPrefixGSM8KEval(CustomTestCase):
NUM_SHOTS = 4
SECONDARY_POOL_SIZE = 12
NUM_EXAMPLES = 40
@classmethod
def setUpClass(cls):
cls._tmpdir = tempfile.TemporaryDirectory()
cls._data_path = os.path.join(cls._tmpdir.name, "synthetic.jsonl")
_write_synthetic_dataset(cls._data_path, 100)
@classmethod
def tearDownClass(cls):
cls._tmpdir.cleanup()
def _make_eval(self, seed: int = 42, num_examples=None):
return MixedPrefixGSM8KEval(
num_examples=(
num_examples if num_examples is not None else self.NUM_EXAMPLES
),
num_threads=1,
num_shots=self.NUM_SHOTS,
secondary_pool_size=self.SECONDARY_POOL_SIZE,
data_path=self._data_path,
seed=seed,
)
def _primary_lines(self, evaluator) -> List[str]:
return [
get_one_example(evaluator._primary_shots, j, include_answer=True) + "\n\n"
for j in range(self.NUM_SHOTS)
]
def _decompose(self, evaluator, prefix: str) -> Tuple[int, List[str]]:
k = 0
for line in self._primary_lines(evaluator):
if prefix.startswith(line):
prefix = prefix[len(line) :]
k += 1
else:
break
remainder_questions: List[str] = []
if prefix:
chunks = prefix.split("\n\n")
for chunk in chunks:
if chunk.startswith("Question: "):
q_text = chunk[len("Question: ") :].split("\nAnswer:")[0]
remainder_questions.append(q_text)
return k, remainder_questions
def test_primary_segment_is_strict_prefix_of_primary_shots(self):
e = self._make_eval()
for i in range(self.NUM_EXAMPLES):
k, _ = self._decompose(e, e._build_prefix(i))
self.assertGreaterEqual(k, 0)
self.assertLessEqual(k, self.NUM_SHOTS)
def test_remainder_questions_come_from_secondary_pool(self):
e = self._make_eval()
secondary_qs = {item["question"] for item in e._secondary_pool}
for i in range(self.NUM_EXAMPLES):
_, remainder = self._decompose(e, e._build_prefix(i))
for q in remainder:
self.assertIn(q, secondary_qs)
def test_remainder_no_duplicates_within_one_query(self):
e = self._make_eval()
for i in range(self.NUM_EXAMPLES):
_, remainder = self._decompose(e, e._build_prefix(i))
self.assertEqual(
len(remainder),
len(set(remainder)),
f"query {i} has duplicate secondary samples",
)
def test_remainder_size_within_secondary_pool_bound(self):
e = self._make_eval()
for i in range(self.NUM_EXAMPLES):
_, remainder = self._decompose(e, e._build_prefix(i))
self.assertGreaterEqual(len(remainder), 0)
self.assertLessEqual(len(remainder), self.SECONDARY_POOL_SIZE)
def test_primary_depth_takes_multiple_values(self):
e = self._make_eval()
ks = {
self._decompose(e, e._build_prefix(i))[0] for i in range(self.NUM_EXAMPLES)
}
self.assertGreater(len(ks), 2, f"k values seen: {ks}")
def test_secondary_size_takes_multiple_values(self):
e = self._make_eval()
sizes = {
len(self._decompose(e, e._build_prefix(i))[1])
for i in range(self.NUM_EXAMPLES)
}
self.assertGreater(len(sizes), 2, f"sizes seen: {sizes}")
def test_two_queries_share_min_primary_prefix(self):
e = self._make_eval()
lines = self._primary_lines(e)
prefixes = [e._build_prefix(i) for i in range(self.NUM_EXAMPLES)]
ks = [self._decompose(e, p)[0] for p in prefixes]
for i in range(self.NUM_EXAMPLES):
for j in range(i + 1, self.NUM_EXAMPLES):
shared = "".join(lines[: min(ks[i], ks[j])])
self.assertTrue(prefixes[i].startswith(shared))
self.assertTrue(prefixes[j].startswith(shared))
def test_build_prefix_is_deterministic(self):
a = self._make_eval(seed=42)
b = self._make_eval(seed=42)
for i in range(self.NUM_EXAMPLES):
self.assertEqual(a._build_prefix(i), b._build_prefix(i))
def test_seed_actually_matters(self):
a = self._make_eval(seed=42)
b = self._make_eval(seed=43)
differences = sum(
1
for i in range(self.NUM_EXAMPLES)
if a._build_prefix(i) != b._build_prefix(i)
)
self.assertGreater(differences, self.NUM_EXAMPLES // 2)
def test_pools_and_test_lines_pairwise_disjoint(self):
e = self._make_eval(num_examples=None)
primary_qs = {item["question"] for item in e._primary_shots}
secondary_qs = {item["question"] for item in e._secondary_pool}
test_qs = {item["question"] for item in e._lines}
self.assertEqual(primary_qs & secondary_qs, set())
self.assertEqual(primary_qs & test_qs, set())
self.assertEqual(secondary_qs & test_qs, set())
def test_insufficient_dataset_raises(self):
tiny = os.path.join(self._tmpdir.name, "tiny.jsonl")
_write_synthetic_dataset(tiny, n=5)
with self.assertRaises(ValueError):
MixedPrefixGSM8KEval(
num_examples=1,
num_threads=1,
num_shots=self.NUM_SHOTS,
secondary_pool_size=self.SECONDARY_POOL_SIZE,
data_path=tiny,
seed=42,
)
if __name__ == "__main__":
unittest.main()