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| license: apache-2.0 | |
| task_categories: | |
| - fill-mask | |
| - text-classification | |
| tags: | |
| - biology | |
| Dataset Summary | |
| This repository contains datasets derived from UniProt and SwissProt databases for analyzing biological sequences. | |
| The data includes raw sequences, processed files, and benchmark datasets split using hierarchical strategies to ensure diversity and | |
| discourage model bias. The datasets are organized into different folders for balanced and unbalanced splits, with additional variations | |
| where full-length sequences are chunked into smaller sequences. | |
| Dataset Structure | |
| The file directory is structured as follows: | |
| UniprotAndSwissprotDatasets: | |
| SwissprotDatasets: | |
| BalancedSwissprot: train.csv, validation.csv | |
| UnbalancedSwissprot: train.csv, validation.csv | |
| **test.csv, test1.csv, test2.csv` | |
| SwissprotDatasetsChunked: | |
| Contains the same data as SwissprotDatasets, but each full-length sequence is split into smaller sequences of 20 read length. | |
| BalancedSwissprot: train.csv, validation.csv | |
| UnbalancedSwissprot: train.csv, validation.csv | |
| **test.csv, test1.csv, test2.csv` | |
| UniprotDatasets: | |
| BalancedUniprot: train.csv, validation.csv | |
| UnbalancedUniprot: train.csv, validation.csv | |
| **test.csv, test1.csv, test2.csv` | |
| UniprotDatasetsChunked: | |
| Contains the same data as UniprotDatasets, but each full-length sequence is split into smaller sequences of 20 read length. | |
| BalancedUniprot: train.csv, validation.csv | |
| UnbalancedUniprot: train.csv, validation.csv | |
| **test.csv, test1.csv, test2.csv` | |
| Data Description | |
| The datasets are derived from: | |
| UniProt: Contains two main sections: | |
| TrEMBL: Automatically annotated; contains homology-based annotations with more errors. | |
| SwissProt: Manually curated with experimental evidence of functional annotations. | |
| Preprocessing Steps: | |
| Organism Filtering: Only prokaryotic organisms (bacteria and archaea) were included. | |
| Data Mapping: UniProt IDs were mapped to UniRef clusters (UniRef50, UniRef90, UniRef100) and EMBL CDS IDs. | |
| Data Cleaning: | |
| Removed records with missing or partial EC numbers. | |
| Split records with multiple EC numbers into individual entries. | |
| Dataset Splitting | |
| A hierarchical splitting strategy ensured sequences from the same cluster do not appear in more than one set: | |
| Train, Validation, and Test Sets are derived based on UniRef50, UniRef90, or UniRef100 clusters. | |
| Special test sets include: | |
| In-Distribution (Test Set-I): Contains sequences with EC numbers present in the training sets. | |
| Out-of-Distribution (Test Set-II): Contains sequences with EC numbers absent from the training sets. | |
| Benchmarks | |
| Four benchmark datasets were created: | |
| Benchmark-I: SwissProt+TrEMBL (unbalanced). | |
| Benchmark-II: SwissProt+TrEMBL (balanced). | |
| Benchmark-III: SwissProt only (unbalanced). | |
| Benchmark-IV: SwissProt only (balanced). | |
| Chunked Sequences | |
| ChunkedSwissProt and ChunkedUniProt folders contain the same data as their respective non-chunked counterparts but with each full-length sequence divided into smaller 20 read-length sequences. | |
| These chunked datasets are especially useful for sequence alignment and similarity-based tasks. | |
| Dataset Generation | |
| To generate the dataset, follow the instructions in the notebooks: | |
| DatasetGeneration.ipynb: Processes raw data to create final datasets. | |
| DatasetSplitting.ipynb: Splits the dataset into training, validation, and test sets. | |
| Citation | |
| If using this dataset, please cite the original UniProt and SwissProt resources: | |
| UniProt: https://www.uniprot.org/ | |
| SwissProt: https://www.uniprot.org/uniprotkb?query=reviewed:true | |
| License | |
| This dataset is licensed under the Apache 2.0 License. |