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01andreayhchen /lls-filtering-datatabularn<1K0 likes3.2k downloads7d agoHugging Face02apf1 /datafilteringnetworks_2b Getting Started To use the indices, first download CommonPool: https://github.com/mlfoundations/datacomp#downloading-commonpool Then reshard with the provided indices file: https://github.com/mlfoundations/datacomp#selecting-samples-in-the-filtering-track Paper Link https://arxiv.org/abs/2309.17425 22 likes206 downloads2y agoHugging Face03mlfoundations-dev /instruction_filtering_askllm_seed_data_code_w_openthoughtstabular100K<n<1M0 likes87 downloads2y agoHugging Face04mlfoundations-dev /instruction_filtering_embedding_filter_seed_data_math_w_openthoughtstabular100K<n<1M0 likes31 downloads2y agoHugging Face05mlfoundations-dev /instruction_filtering_random_seed_data_code_w_openthoughtstext100K<n<1M0 likes19 downloads2y agoHugging Face06mlfoundations-dev /instruction_filtering_askllm_seed_data_math_w_openthoughtstabular100K<n<1M0 likes18 downloads2y agoHugging Face07mlfoundations-dev /instruction_filtering_random_seed_data_math_w_openthoughtstext100K<n<1M0 likes18 downloads2y agoHugging Face08mlfoundations-dev /instruction_filtering_fasttext_per_domain_seed_data_math_w_openthoughtstext100K<n<1M0 likes18 downloads2y agoHugging Face09mlfoundations-dev /instruction_filtering_embedding_filter_mean_seed_data_math_w_openthoughtstabular100K<n<1M0 likes17 downloads2y agoHugging Face10mlfoundations-dev /instruction_filtering_embedding_filter_seed_data_code_w_openthoughtstabular100K<n<1M0 likes17 downloads2y agoHugging Face11mlfoundations-dev /instruction_filtering_fasttext_seed_data_code_w_openthoughtstext100K<n<1M0 likes17 downloads2y agoHugging Face12mlfoundations-dev /instruction_filtering_gemini_length_seed_data_math_w_openthoughtstabular100K<n<1M0 likes17 downloads2y agoHugging Face13damerajee /filtering_data-v11text100K<n<1M0 likes16 downloads2y agoHugging Face14loubnabnl /data-filtering-statisticsFilterings on top of near-dedup + line filtering: Comments filtering (at least 1% of the number of lines should be comments/docstrings) Stars filtering (minimum of 5 stars) (on top of near-dedup + line filtering) Language Before filtering Stars Comments ratio More near-dedup Tokenizer fertility Python 75.61 GB 26.56 GB 65.64 GB 61.97 GB 72.52 GB Java 110 GB 35.83 GB 92.7 GB 88.42 GB 105.47 GB Javascript 82.7 GB 20.76 GB 57.5 GB 65.09 GB 76.37 GB 0 likes15 downloads4y agoHugging Face15mlfoundations-dev /instruction_filtering_gemini_length_seed_data_code_w_openthoughtstabular100K<n<1M0 likes15 downloads2y agoHugging Face16mlfoundations-dev /instruction_filtering_embedding_filter_mean_seed_data_code_w_openthoughtstabular100K<n<1M0 likes14 downloads2y agoHugging Face17viral-data-safety /filtering-reference-data0 likes14 downloads5mo agoHugging Face18mlfoundations-dev /instruction_filtering_fasttext_seed_data_math_w_openthoughtstext100K<n<1M0 likes12 downloads2y agoHugging Face19mlfoundations-dev /instruction_filtering_fasttext_per_domain_seed_data_code_w_openthoughtstext100K<n<1M0 likes12 downloads2y agoHugging Face20damerajee /filtering_data-v112text100K<n<1M0 likes11 downloads2y agoHugging Face21mlfoundations-dev /instruction_filtering_fasttext_per_domain_seed_data_mathtext1K<n<10K0 likes8 downloads2y agoHugging Face22mlfoundations-dev /instruction_filtering_askllm_seed_data_mathtabular1K<n<10K0 likes8 downloads2y agoHugging Face23mlfoundations-dev /instruction_filtering_fasttext_seed_data_mathtext1K<n<10K0 likes7 downloads2y agoHugging Face24mlfoundations-dev /instruction_filtering_fasttext_seed_data_codetext1K<n<10K0 likes7 downloads2y agoHugging Face25mlfoundations-dev /instruction_filtering_askllm_seed_data_codetabular1K<n<10K0 likes7 downloads2y agoHugging Face26mlfoundations-dev /instruction_filtering_fasttext_per_domain_seed_data_codetext1K<n<10K0 likes5 downloads2y agoHugging Face27mlfoundations-dev /instruction_filtering_fasttext_seed_datatextn<1K0 likes4 downloads2y agoHugging Face28Tung177 /MT_DataFiltering_Stage1gatedtext100M<n<1B0 likes2 downloads11mo agoHugging Face

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