49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
from tqdm import tqdm
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from transformers import pipeline
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def get_formatted(text):
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answers = unmasker(text, top_k=15)
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answers = {x['token_str']:x['score'] for x in answers}
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empty = 1 - sum(answers.values())
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answers[''] = empty
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answers_str =''
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for k,v in answers.items():
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answers_str += k.strip()+':'+str(v) + ' '
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return answers_str.rstrip(' ').lstrip(' ')
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def write(f_path_in, f_path_out):
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with open(f_path_in) as f_in, open(f_path_out,'w') as f_out:
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i = 0
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for line in tqdm(f_in,total=10_600):
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char_context = 400
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i+=1
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#print(i)
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is_ok = False
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while not is_ok:
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try:
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left_text = line.rstrip().split('\t')[-2]
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right_text = line.rstrip().split('\t')[-1]
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l_in = left_text[-char_context:] + ' <mask> ' + right_text[:char_context]
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a = get_formatted(l_in)
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is_ok = True
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except:
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print('lowering context')
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char_context -= 50
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if char_context < 60:
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a = ':1'
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print('lower threshold context exceeded')
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is_ok = True
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f_out.write(a + '\n')
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#left_text = line.rstrip().split('\t')[-2]
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#right_text = line.rstrip().split('\t')[-1]
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#l_in = left_text[-char_context:] + ' <mask> ' + right_text[:char_context]
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#a = get_formatted(l_in)
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#f_out.write(a + '\n')
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model = 'without_date/checkpoint-395000'
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unmasker = pipeline('fill-mask', model=model, device=0)
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write('../dev-0/in.tsv', '../dev-0/out.tsv')
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write('../test-A/in.tsv', '../test-A/out.tsv')
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