Datasets:
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README.md
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---
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license: cdla-permissive-2.0
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task_categories:
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- tabular-classification
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pretty_name: avida_htnfa_3mer
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tags:
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- tabular
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- proteomics
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- binary
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- Biomedical
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- Benchmark
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- antigenomics
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configs:
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- config_name: avida_htnfa_3mer
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data_files:
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- split: train
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path: data/train.parquet
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- split: validation
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path: data/val.parquet
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- split: test
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path: data/test.parquet
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dataset_info:
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description: 'Binary classification: predict VHH nanobody binding to hTNFa. Single
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antigen — antigen features omitted. Features: TF-IDF of amino-acid 3-mers on VHH
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sequence only. Split: CD-HIT cluster-based 80/10/10 on VHH sequences (c=0.7, aS=0.8).'
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---
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