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"description": "BenchRep-T is a benchmark for TCRβ (T-cell receptor β-chain) immune-repertoire classification. It bundles the multi-disease Mal-ID cohort together with five external disease cohorts (sequenced on the Adaptive Biotechnologies immunoSEQ platform: Savola_RA, Musvosvi_TB, Rawat_T1D, Mitchell_T1D, Emerson_CMV), providing per-specimen repertoire files, harmonized sample metadata, and auxiliary files used for the sequencing-depth scaling-law and driver-sequence experiments. Each specimen (one sequenced repertoire) is one example; the classification target is the specimen-level disease label. See the full description at https://huggingface.co/datasets/lordim/BenchRep-T.",
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"url": "https://huggingface.co/datasets/lordim/BenchRep-T",
"dataCollection": "Bulk TCRβ immune-repertoire sequencing aggregated from previously published, de-identified human cohorts. Mal-ID is multi-disease B/T-cell receptor sequencing (Zaslavsky et al. 2025); the five external cohorts are Adaptive Biotechnologies immunoSEQ TCRβ repertoires from published disease studies: Savola et al. 2017 (rheumatoid arthritis), Musvosvi et al. 2023 (tuberculosis), Rawat et al. 2026 and Mitchell et al. 2022 (type 1 diabetes), and Emerson et al. 2017 (cytomegalovirus).",
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"dataUseCases": "Intended for benchmarking machine-learning methods that classify disease or exposure status from an individual's TCRβ immune repertoire. Not intended for clinical diagnosis or individual-level medical decision-making.",
"dataBiases": "Cohorts differ in demographic composition, recruitment, sequencing platform and depth, and case/control balance. Because labels come from heterogeneous studies, models may learn cohort- or platform-specific batch effects rather than disease biology, and performance may not transfer across cohorts or to underrepresented populations.",
"dataLimitations": "Each cohort comprises a modest number of specimens (91–761). Only the TCRβ chain is provided (no paired α/β chains and no BCR). Mal-ID uses a different assay from the immunoSEQ external cohorts, limiting cross-cohort comparability. Demographic/clinical covariates are limited and vary by cohort.",
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