Upload dataset

README.md

@@ -1,31 +1,73 @@
 ---
 language: en
 license: agpl-3.0
-#size_categories: 
-pretty_name: 'IsItABarrel Database'
+pretty_name: IsItABarrel Database
 tags:
-  - biology
-  - chemistry
-dataset_summary: a curated database of approximately two million bacterial transmembrane beta barrels (TMBBs)
-#dataset_description: 
-#acknowledgements:
+- biology
+- chemistry
+dataset_summary: a curated database of approximately two million bacterial transmembrane
+  beta barrels (TMBBs)
 repo: rmauder/IsItABarrel
-citation_bibtex:
-  -@article{Montezano2023,
-  title = {General features of transmembrane beta barrels from a large database},
-  volume = {120},
-  ISSN = {1091-6490},
-  url = {http://dx.doi.org/10.1073/pnas.2220762120},
-  DOI = {10.1073/pnas.2220762120},
-  number = {29},
-  journal = {Proceedings of the National Academy of Sciences},
-  publisher = {Proceedings of the National Academy of Sciences},
-  author = {Montezano,  Daniel and Bernstein,  Rebecca and Copeland,  Matthew M. and Slusky,  Joanna S. G.},
-  year = {2023},
-  month = jul}
-citation_apa: 
-  -Montezano, D., Bernstein, R., Copeland, M. M., & Slusky, J. S. G. (2023). General features of transmembrane beta barrels from a large database. Proceedings of the National Academy of Sciences of the United States of America, 120(29), e2220762120. doi:10.1073/pnas.2220762120
-
+citation_bibtex: -@article{Montezano2023, title = {General features of transmembrane
+  beta barrels from a large database}, volume = {120}, ISSN = {1091-6490}, url = {http://dx.doi.org/10.1073/pnas.2220762120},
+  DOI = {10.1073/pnas.2220762120}, number = {29}, journal = {Proceedings of the National
+  Academy of Sciences}, publisher = {Proceedings of the National Academy of Sciences},
+  author = {Montezano,  Daniel and Bernstein,  Rebecca and Copeland,  Matthew M. and
+  Slusky,  Joanna S. G.}, year = {2023}, month = jul}
+citation_apa: -Montezano, D., Bernstein, R., Copeland, M. M., & Slusky, J. S. G. (2023).
+  General features of transmembrane beta barrels from a large database. Proceedings
+  of the National Academy of Sciences of the United States of America, 120(29), e2220762120.
+  doi:10.1073/pnas.2220762120
+configs:
+- config_name: TMBB_information
+  data_files:
+  - split: train
+    path: TMBB_information/data/train-*
+  - split: test
+    path: TMBB_information/data/test-*
+  - split: validate
+    path: TMBB_information/data/validate-*
+dataset_info:
+  config_name: TMBB_information
+  features:
+  - name: Protein_ID
+    dtype: string
+  - name: Organism
+    dtype: string
+  - name: Protein_Product
+    dtype: string
+  - name: Sequence_Length
+    dtype: int64
+  - name: SignalP5_Score
+    dtype: float64
+  - name: SignalP5_Type
+    dtype: string
+  - name: Representative
+    dtype: string
+  - name: Assigned
+    dtype: int64
+  - name: Protein_Type
+    dtype: string
+  - name: Strain
+    dtype: string
+  - name: Strand_Count
+    dtype: float64
+  - name: AlphaFoldDB_ID
+    dtype: string
+  - name: Sequence
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 891734109
+    num_examples: 1163363
+  - name: test
+    num_bytes: 277747938
+    num_examples: 387787
+  - name: validate
+    num_bytes: 277677434
+    num_examples: 387785
+  download_size: 1191909078
+  dataset_size: 1447159481
 ---
 # IsItABarrel
 a searchable curated database of approximately two million bacterial transmembrane beta barrels (TMBBs)

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

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+size 227668008

TMBB_information/data/train-00000-of-00002.parquet

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+oid sha256:57c69b357a24768d569982f4edbc5e71a62977ad7c860b1188233222d4e1e98e
+size 369393270

TMBB_information/data/train-00001-of-00002.parquet

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+oid sha256:9bc9adb9f2e78e2442c2c2ac269408c8ccfc4bcd617221acf3bdcf41aa526c02
+size 367145842

TMBB_information/data/validate-00000-of-00001.parquet

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+oid sha256:92959888f42c6c4f2c3d662dff3e8f548548d4a64c6fdbef83db8f9c36c6195a
+size 227701958