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			24 lines
		
	
	
		
			1.1 KiB
		
	
	
	
		
			Bash
		
	
	
		
			Executable File
		
	
	
	
	
			
		
		
	
	
			24 lines
		
	
	
		
			1.1 KiB
		
	
	
	
		
			Bash
		
	
	
		
			Executable File
		
	
	
	
	
| #!/bin/bash
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| 
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| set -e
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| 
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| python scripts/pii_rule_comparison.py \
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|   --docs-folder /home/ubuntu/s2pdf_dedupe_minhash_v1_with_no_pii/documents \
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|   --ref-rule "ft_lang_id_en_doc_v2__ft_lang_id_en_doc_v2__en:avg>0.5 and \
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|               fineweb_edu_fasttext_gt2__fineweb_edu_fasttext_gt2__score:avg>0.001 and \
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|               avg_fraction_numbers_in_line_v1__avg_fraction_numbers_in_line_v1__avg_fraction_numbers_in_line_ratio:avg<0.2 and \
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|               pipe_delimited_lines_v1__pipe_delimited_lines_v1__pipe_delimited_lines_ratio:avg<0.3 \
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|              " \
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|   --hyp-rule "ft_lang_id_en_doc_v2__ft_lang_id_en_doc_v2__en:avg>0.5 and \
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|               fineweb_edu_fasttext_gt2__fineweb_edu_fasttext_gt2__score:avg>0.001 and \
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|               avg_fraction_numbers_in_line_v1__avg_fraction_numbers_in_line_v1__avg_fraction_numbers_in_line_ratio:avg<0.2 and \
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|               pipe_delimited_lines_v1__pipe_delimited_lines_v1__pipe_delimited_lines_ratio:avg<0.4 \
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|              " \
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|   --output-dir results/pii_detection \
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| 
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| 
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| # Run1, langid, pipes and numbers
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| # Prompt, boilerplate, reference, prose, table classification -> train fasttext
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| # 50k docs to train fast text
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| 
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| tinyhost results/pii_detection/* | 
