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README.md
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@@ -18,7 +18,71 @@ citation_apa: Tsuboyama, K., Dauparas, J., Chen, J. et al. Mega-scale experiment
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analysis of protein folding stability in biology and design. Nature 620, 434–444
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(2023). https://doi.org/10.1038/s41586-023-06328-6
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dataset_info:
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features:
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- name: name
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dtype: string
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@@ -109,6 +173,10 @@ dataset_info:
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download_size: 151448982
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dataset_size: 1244546799
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configs:
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- config_name: dataset3_single
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data_files:
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- split: train
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analysis of protein folding stability in biology and design. Nature 620, 434–444
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(2023). https://doi.org/10.1038/s41586-023-06328-6
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dataset_info:
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- config_name: dataset1
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features:
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- name: name
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dtype: string
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- name: dna_seq
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dtype: string
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- name: log10_K50_t
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dtype: float64
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- name: log10_K50_t_95CI_high
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dtype: float64
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- name: log10_K50_t_95CI_low
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dtype: float64
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- name: log10_K50_t_95CI
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dtype: float64
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- name: fitting_error_t
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dtype: float64
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- name: log10_K50unfolded_t
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dtype: float64
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- name: deltaG_t
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dtype: float64
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- name: deltaG_t_95CI_high
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dtype: float64
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- name: deltaG_t_95CI_low
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dtype: float64
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- name: deltaG_t_95CI
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dtype: float64
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- name: log10_K50_c
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dtype: float64
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- name: log10_K50_c_95CI_high
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dtype: float64
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- name: log10_K50_c_95CI_low
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dtype: float64
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- name: log10_K50_c_95CI
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dtype: float64
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- name: fitting_error_c
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dtype: float64
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- name: log10_K50unfolded_c
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dtype: float64
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- name: deltaG_c
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dtype: float64
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- name: deltaG_c_95CI_high
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dtype: float64
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- name: deltaG_c_95CI_low
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dtype: float64
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- name: deltaG_c_95CI
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dtype: float64
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- name: deltaG
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dtype: float64
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- name: deltaG_95CI_high
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dtype: float64
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- name: deltaG_95CI_low
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dtype: float64
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- name: deltaG_95CI
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dtype: float64
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- name: log10_K50_trypsin_ML
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dtype: float64
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- name: log10_K50_chymotrypsin_ML
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dtype: float64
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splits:
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- name: train
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num_bytes: 821805209
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num_examples: 1841285
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download_size: 562388001
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dataset_size: 821805209
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- config_name: dataset3_single
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features:
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- name: name
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dtype: string
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download_size: 151448982
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dataset_size: 1244546799
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configs:
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- config_name: dataset1
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data_files:
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- split: train
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path: dataset1/data/train-*
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- config_name: dataset3_single
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data_files:
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- split: train
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