feat(utils): 添加序列打包功能并优化数据处理流程
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@@ -1,10 +1,8 @@
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from typing import Dict, List, Callable, Union
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from datasets import DatasetDict
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from tokenizer import BpeTokenizer
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from tqdm import tqdm
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from torch import Tensor
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import torch.nn.functional as F
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import pickle as pkl
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import torch
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import json
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@@ -27,6 +25,11 @@ def comprehensive_normalization(text):
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pattern = re.compile('|'.join(re.escape(k) for k in replacements))
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return pattern.sub(lambda m: replacements[m.group()], text)
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def pt_processor(text):
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text = comprehensive_normalization(text)
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text = text.lower()
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return text
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def pack_sequences(sequences: List[Tensor], pack_size: int, pad_value: int) -> List[Tensor]:
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packages = []
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@@ -71,16 +74,18 @@ def dump_pkl_files(
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base_out_dir: str,
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process_func: Callable[[dict], dict],
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output_keys: List[str],
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packing_size: int = -1
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packing_size: int = -1,
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pad_value: int = 0
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):
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for file_path in files:
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out_file_name = os.path.basename(file_path).replace(".jsonl", ".pkl")
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out_file_path = os.path.join(base_out_dir, out_file_name)
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file_name = os.path.basename(file_path)
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arrows: Dict[str, List[Tensor]] = {}
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os.makedirs(os.path.dirname(out_file_path), exist_ok=True)
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arrows: Dict[str, List[Tensor]] = {}
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with open(file_path, "r") as f:
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lines = f.readlines()
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@@ -89,10 +94,14 @@ def dump_pkl_files(
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for key in output_keys:
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arrows[key].extend(arrow[key])
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output_package = {}
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output_package: Dict[str, Tensor] = {}
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for key in output_keys:
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tensor = torch.cat(arrows[key])
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output_package[key] = tensor
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print(f"Packaging key: '{key}'")
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if packing_size > 0:
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arrows[key] = pack_sequences(arrows[key], packing_size, pad_value)
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sequence = torch.cat(arrows[key])
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output_package[key] = sequence
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with open(out_file_path, "w") as f:
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pkl.dump(output_package, f)
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