Upload dataset

README.md

@@ -1,27 +1,122 @@
 ---
 license: cc-by-4.0
+pretty_name: Mega-scale experimental analysis of protein folding stability in biology
+  and design
 tags:
 - biology
 - chemistry
-pretty_name: >-
-  Mega-scale experimental analysis of protein folding stability in biology and
-  design
 repo: https://github.com/Rocklin-Lab/cdna-display-proteolysis-pipeline
-citation_bibtex: "@article{Tsuboyama2023,
-  title = {Mega-scale experimental analysis of protein folding stability in biology and design},
-  volume = {620},
-  ISSN = {1476-4687},
-  url = {http://dx.doi.org/10.1038/s41586-023-06328-6},
-  DOI = {10.1038/s41586-023-06328-6},
-  number = {7973},
-  journal = {Nature},
-  publisher = {Springer Science and Business Media LLC},
-  author = {Tsuboyama,  Kotaro and Dauparas,  Justas and Chen,  Jonathan and Laine,  Elodie and Mohseni Behbahani,  Yasser and Weinstein,  Jonathan J. and Mangan,  Niall M. and Ovchinnikov,  Sergey and Rocklin,  Gabriel J.},
-  year = {2023},
-  month = jul,
-  pages = {434–444}
-}"
-citation_apa: Tsuboyama, K., Dauparas, J., Chen, J. et al. Mega-scale experimental analysis of protein folding stability in biology and design. Nature 620, 434–444 (2023). https://doi.org/10.1038/s41586-023-06328-6
+citation_bibtex: '@article{Tsuboyama2023, title = {Mega-scale experimental analysis
+  of protein folding stability in biology and design}, volume = {620}, ISSN = {1476-4687},
+  url = {http://dx.doi.org/10.1038/s41586-023-06328-6}, DOI = {10.1038/s41586-023-06328-6},
+  number = {7973}, journal = {Nature}, publisher = {Springer Science and Business
+  Media LLC}, author = {Tsuboyama,  Kotaro and Dauparas,  Justas and Chen,  Jonathan
+  and Laine,  Elodie and Mohseni Behbahani,  Yasser and Weinstein,  Jonathan J. and
+  Mangan,  Niall M. and Ovchinnikov,  Sergey and Rocklin,  Gabriel J.}, year = {2023},
+  month = jul, pages = {434–444} }'
+citation_apa: Tsuboyama, K., Dauparas, J., Chen, J. et al. Mega-scale experimental
+  analysis of protein folding stability in biology and design. Nature 620, 434–444
+  (2023). https://doi.org/10.1038/s41586-023-06328-6
+dataset_info:
+  config_name: dataset3_single
+  features:
+  - name: name
+    dtype: string
+  - name: dna_seq
+    dtype: string
+  - name: log10_K50_t
+    dtype: float64
+  - name: log10_K50_t_95CI_high
+    dtype: float64
+  - name: log10_K50_t_95CI_low
+    dtype: float64
+  - name: log10_K50_t_95CI
+    dtype: float64
+  - name: fitting_error_t
+    dtype: float64
+  - name: log10_K50unfolded_t
+    dtype: float64
+  - name: deltaG_t
+    dtype: float64
+  - name: deltaG_t_95CI_high
+    dtype: float64
+  - name: deltaG_t_95CI_low
+    dtype: float64
+  - name: deltaG_t_95CI
+    dtype: float64
+  - name: log10_K50_c
+    dtype: float64
+  - name: log10_K50_c_95CI_high
+    dtype: float64
+  - name: log10_K50_c_95CI_low
+    dtype: float64
+  - name: log10_K50_c_95CI
+    dtype: float64
+  - name: fitting_error_c
+    dtype: float64
+  - name: log10_K50unfolded_c
+    dtype: float64
+  - name: deltaG_c
+    dtype: float64
+  - name: deltaG_c_95CI_high
+    dtype: float64
+  - name: deltaG_c_95CI_low
+    dtype: float64
+  - name: deltaG_c_95CI
+    dtype: float64
+  - name: deltaG
+    dtype: float64
+  - name: deltaG_95CI_high
+    dtype: float64
+  - name: deltaG_95CI_low
+    dtype: float64
+  - name: deltaG_95CI
+    dtype: float64
+  - name: aa_seq_full
+    dtype: string
+  - name: aa_seq
+    dtype: string
+  - name: mut_type
+    dtype: string
+  - name: WT_name
+    dtype: string
+  - name: WT_cluster
+    dtype: string
+  - name: log10_K50_trypsin_ML
+    dtype: string
+  - name: log10_K50_chymotrypsin_ML
+    dtype: string
+  - name: dG_ML
+    dtype: string
+  - name: ddG_ML
+    dtype: string
+  - name: Stabilizing_mut
+    dtype: string
+  - name: pair_name
+    dtype: string
+  - name: split_name
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1017283318
+    num_examples: 1503063
+  - name: val
+    num_bytes: 110475434
+    num_examples: 163968
+  - name: test
+    num_bytes: 116788047
+    num_examples: 169032
+  download_size: 151448982
+  dataset_size: 1244546799
+configs:
+- config_name: dataset3_single
+  data_files:
+  - split: train
+    path: dataset3_single/data/train-*
+  - split: val
+    path: dataset3_single/data/val-*
+  - split: test
+    path: dataset3_single/data/test-*
 ---
 
 # Mega-scale experimental analysis of protein folding stability in biology and design

dataset3_single/data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3563237017dd58e5227baf640ce2f86ae8939e8ef48036afcd403241b0236dea
+size 15536868

dataset3_single/data/train-00000-of-00003.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7813eb2d9267403c126760d6197991a700fe994f0cb66275bbb7938d491895bf
+size 39774719

dataset3_single/data/train-00001-of-00003.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a353fcb69c74a46b5a80e3c34df6a6ee69d9d5f916b02c0cd4a1fa0ce8506f7e
+size 41244133

dataset3_single/data/train-00002-of-00003.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e92364102ba5554ac1fd7e87a564694a340e89c4de371042eec89036e049c073
+size 39979841

dataset3_single/data/val-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c51cff015dd7e59245c688c5e5742789d5173acd7b7a069d5e043ad5bf032022
+size 14913421