60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
import csv
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import json
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import os
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from datetime import datetime
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from typing import Optional
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# Paths
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ROOT_DIR = os.getcwd()
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DATA_DIR = os.path.join(ROOT_DIR, 'dataset')
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MODELS_DIR = os.path.join(ROOT_DIR, 'models')
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GENDER_MODELS_DIR = os.path.join(MODELS_DIR, 'gender')
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NER_MODELS_DIR = os.path.join(MODELS_DIR, 'ner')
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# Training
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TRAINING_EPOCHS = 5
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MODEL_NAME = f"./models/ners-{datetime.now().strftime('%Y%m%d%H%M%S')}"
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def clean_spacing(filename: str) -> Optional[str]:
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try:
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with open(os.path.join(DATA_DIR, filename), 'r', encoding='utf8') as f:
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content = f.read()
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return content.translate(str.maketrans({'\00': ' ', ' ': ' '}))
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except Exception as e:
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return None
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def load_json_dataset(path: str) -> list:
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print(f">> Loading JSON dataset from {path}")
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with open(os.path.join(DATA_DIR, path), "r", encoding="utf-8") as f:
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return json.load(f)
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def save_csv_dataset(data: list, path: str) -> None:
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print(f">> Saving CSV dataset to {path}")
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with open(os.path.join(DATA_DIR, path), "w", encoding="utf-8") as f:
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writer = csv.DictWriter(f, fieldnames=data[0].keys())
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writer.writeheader()
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writer.writerows(data)
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def load_csv_dataset(path: str, limit: int = None) -> list:
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print(f">> Loading CSV dataset from {path}")
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data = []
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with open(os.path.join(DATA_DIR, path), "r", encoding="utf-8") as f:
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reader = csv.DictReader(f)
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for row in reader:
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data.append(row)
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if limit and len(data) >= limit:
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break
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return data
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def save_json_dataset(data: list, path: str) -> None:
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print(f">> Saving JSON dataset to {path}")
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with open(os.path.join(DATA_DIR, path), "w", encoding="utf-8") as f:
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json.dump(data, f, ensure_ascii=False, separators=(',', ':'))
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