data_process_bq / script /vibe /build_exp_abcd_scaled.py
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import json
import os
import random
from copy import deepcopy
BASE_DIR = "/root/test/weitiao/data_process_bq/data3"
ABCD_DIR = os.path.join(BASE_DIR, "ABCD")
EXP_DIR = os.path.join(BASE_DIR, "exp")
INPUT_FILES = {
"A": os.path.join(ABCD_DIR, "instag_A_Safety_Risk_chatml.json"),
"B": os.path.join(ABCD_DIR, "instag_B_Romance_chatml.json"),
"C": os.path.join(ABCD_DIR, "instag_C_Emotional_Support_chatml.json"),
"D": os.path.join(ABCD_DIR, "instag_D_Social_Interaction_chatml.json"),
}
# 总数固定 20000;A 按 1:x 缩放;B/C/D 尽量均分后做整数分配
TARGETS = {
"1:64": {"A": 312, "B": 6563, "C": 6563, "D": 6562},
"1:32": {"A": 625, "B": 6459, "C": 6458, "D": 6458},
"1:16": {"A": 1250, "B": 6250, "C": 6250, "D": 6250},
"1:8": {"A": 2500, "B": 5834, "C": 5833, "D": 5833},
"1:4": {"A": 5000, "B": 5000, "C": 5000, "D": 5000},
}
SEED = 20260316
def load_data() -> dict:
data = {}
for k, p in INPUT_FILES.items():
if not os.path.exists(p):
raise FileNotFoundError(f"找不到输入文件: {p}")
with open(p, "r", encoding="utf-8") as f:
obj = json.load(f)
if not isinstance(obj, list):
raise ValueError(f"输入文件顶层不是 list: {p}")
data[k] = obj
return data
def main():
os.makedirs(EXP_DIR, exist_ok=True)
data = load_data()
print("原始各类数量:", {k: len(v) for k, v in data.items()})
# 1) 每一类内部先打乱顺序(固定 seed,保证可复现)
rng = random.Random(SEED)
pools = {}
for k, arr in data.items():
arr_copy = deepcopy(arr)
rng.shuffle(arr_copy)
pools[k] = arr_copy
# 检查是否满足所有目标
for ratio, cnts in TARGETS.items():
for cls, n in cnts.items():
if n > len(pools[cls]):
raise ValueError(f"{ratio} 目标超出 {cls} 可用数量: need={n}, have={len(pools[cls])}")
if sum(cnts.values()) != 20000:
raise ValueError(f"{ratio} 目标总数不是20000: {sum(cnts.values())}")
# 2) 逐比例导出(前缀切片,保证相邻比例只做必要增减)
for ratio, cnts in TARGETS.items():
out_dir = os.path.join(EXP_DIR, f"exp{ratio}")
os.makedirs(out_dir, exist_ok=True)
merged = []
for cls in ["A", "B", "C", "D"]:
merged.extend(pools[cls][: cnts[cls]])
out_path = os.path.join(out_dir, "ABCD_2w_chatml.json")
with open(out_path, "w", encoding="utf-8") as f:
json.dump(merged, f, ensure_ascii=False, indent=2)
meta_path = os.path.join(out_dir, "meta.json")
with open(meta_path, "w", encoding="utf-8") as f:
json.dump(
{
"ratio": ratio,
"target_counts": cnts,
"total": len(merged),
"seed": SEED,
"note": "each class shuffled once, then prefix-sliced for minimal-change scaling",
},
f,
ensure_ascii=False,
indent=2,
)
print(f"✅ {ratio} -> {out_path} | counts={cnts} | total={len(merged)}")
if __name__ == "__main__":
main()
import json
import os
import random
from copy import deepcopy
BASE_DIR = "/root/test/weitiao/data_process_bq/data3"
ABCD_DIR = os.path.join(BASE_DIR, "ABCD")
EXP_DIR = os.path.join(BASE_DIR, "exp")
INPUT_FILES = {
"A": os.path.join(ABCD_DIR, "instag_A_Safety_Risk_chatml.json"),
"B": os.path.join(ABCD_DIR, "instag_B_Romance_chatml.json"),
"C": os.path.join(ABCD_DIR, "instag_C_Emotional_Support_chatml.json"),
"D": os.path.join(ABCD_DIR, "instag_D_Social_Interaction_chatml.json"),
}
# 总数固定 20000;A 按 1:x 缩放;B/C/D 尽量均分后做整数分配
TARGETS = {
"1:64": {"A": 312, "B": 6563, "C": 6563, "D": 6562},
"1:32": {"A": 625, "B": 6459, "C": 6458, "D": 6458},
"1:16": {"A": 1250, "B": 6250, "C": 6250, "D": 6250},
"1:8": {"A": 2500, "B": 5834, "C": 5833, "D": 5833},
"1:4": {"A": 5000, "B": 5000, "C": 5000, "D": 5000},
}
SEED = 20260316
def load_data() -> dict:
data = {}
for k, p in INPUT_FILES.items():
if not os.path.exists(p):
raise FileNotFoundError(f"找不到输入文件: {p}")
with open(p, "r", encoding="utf-8") as f:
obj = json.load(f)
if not isinstance(obj, list):
raise ValueError(f"输入文件顶层不是 list: {p}")
data[k] = obj
return data
def main():
os.makedirs(EXP_DIR, exist_ok=True)
data = load_data()
print("原始各类数量:", {k: len(v) for k, v in data.items()})
# 1) 每一类内部先打乱顺序(固定 seed,保证可复现)
rng = random.Random(SEED)
pools = {}
for k, arr in data.items():
arr_copy = deepcopy(arr)
rng.shuffle(arr_copy)
pools[k] = arr_copy
# 检查是否满足所有目标
for ratio, cnts in TARGETS.items():
for cls, n in cnts.items():
if n > len(pools[cls]):
raise ValueError(f"{ratio} 目标超出 {cls} 可用数量: need={n}, have={len(pools[cls])}")
if sum(cnts.values()) != 20000:
raise ValueError(f"{ratio} 目标总数不是20000: {sum(cnts.values())}")
# 2) 逐比例导出(前缀切片,保证相邻比例只做必要增减)
for ratio, cnts in TARGETS.items():
out_dir = os.path.join(EXP_DIR, f"exp{ratio}")
os.makedirs(out_dir, exist_ok=True)
merged = []
for cls in ["A", "B", "C", "D"]:
merged.extend(pools[cls][: cnts[cls]])
# 合并后再打乱(可注释掉;若想保持 A/B/C/D 分块顺序就不打乱)
# random.Random(SEED).shuffle(merged)
out_path = os.path.join(out_dir, "ABCD_2w_chatml.json")
with open(out_path, "w", encoding="utf-8") as f:
json.dump(merged, f, ensure_ascii=False, indent=2)
meta_path = os.path.join(out_dir, "meta.json")
with open(meta_path, "w", encoding="utf-8") as f:
json.dump(
{
"ratio": ratio,
"target_counts": cnts,
"total": len(merged),
"seed": SEED,
"note": "each class shuffled once, then prefix-sliced for minimal-change scaling",
},
f,
ensure_ascii=False,
indent=2,
)
print(f"✅ {ratio} -> {out_path} | counts={cnts} | total={len(merged)}")
if __name__ == "__main__":
main()