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()