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Even better formating

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  1. README.md +8 -8
README.md CHANGED
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- Dataset Description
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- -------------------
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- # Dataset Summary
 
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  This dataset was derived from the Los Alamos National Laboratory HIV sequence (LANL) database.
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  It contains the most recent version (2016-Full-genome), composed of 1,609 high-quality full-length genomes.
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  Languages: English
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- Dataset Structure
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- Data Instances
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  Each column represents the protein amino acid sequence of the HIV genome.
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  The ID field indicates the Genbank reference ID for future cross-referencing.
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  There are 1,609 full length HIV genomes.
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  Data Splits: None
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- Dataset Creation
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  Curation Rationale: This dataset was curated to train a model (HIV-BERT) designed to predict a variety of sequence-dependent features regarding HIV.
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  Initial Data Collection and Normalization: Dataset was downloaded and curated on 12/21/2021.
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- Considerations for Using the Data
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  Social Impact of Dataset: This dataset can be used to study sequence-dependent features of HIV, a virus that has claimed the lives of many individuals globally in the last few decades.
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  Discussion of Biases: This dataset was derived from the Los Alamos National Laboratory HIV sequence (LANL) database full genome database and contains a representative sample from each subtype and geographic region.
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- Additional Information:
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  - Dataset Curators: Will Dampier
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  - Citation Information: TBA
 
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+ # Dataset Description
 
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+
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+ ## Dataset Summary
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  This dataset was derived from the Los Alamos National Laboratory HIV sequence (LANL) database.
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  It contains the most recent version (2016-Full-genome), composed of 1,609 high-quality full-length genomes.
 
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  Languages: English
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+ ## Dataset Structure
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+ ### Data Instances
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  Each column represents the protein amino acid sequence of the HIV genome.
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  The ID field indicates the Genbank reference ID for future cross-referencing.
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  There are 1,609 full length HIV genomes.
 
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  Data Splits: None
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+ ## Dataset Creation
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  Curation Rationale: This dataset was curated to train a model (HIV-BERT) designed to predict a variety of sequence-dependent features regarding HIV.
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  Initial Data Collection and Normalization: Dataset was downloaded and curated on 12/21/2021.
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+ ## Considerations for Using the Data
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  Social Impact of Dataset: This dataset can be used to study sequence-dependent features of HIV, a virus that has claimed the lives of many individuals globally in the last few decades.
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  Discussion of Biases: This dataset was derived from the Los Alamos National Laboratory HIV sequence (LANL) database full genome database and contains a representative sample from each subtype and geographic region.
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+ ## Additional Information:
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  - Dataset Curators: Will Dampier
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  - Citation Information: TBA