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--- |
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pretty_name: Human–Virus Protein Mistake Predictions |
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license: cc-by-4.0 |
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tags: |
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- biology |
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- proteins |
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- classification |
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- viruses |
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- tabular |
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task_categories: |
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- tabular-classification |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Human–Virus Protein Mistake Predictions (Parquet) |
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This dataset provides **per-sequence labels, predictions, and lightweight descriptors** used in the paper: |
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- **Protein Language Models Expose Viral Immune Mimicry** — *Viruses* 2025, 17(9):1199. |
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DOI: **10.3390/v17091199** · Article: https://www.mdpi.com/1999-4915/17/9/1199 |
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**What’s included:** a single file `HumanVirus_Protein_mistakes.parquet` with **25,117** rows and **20** columns. |
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**Not included:** PLM model **embeddings** (paper used Swiss-Prot T5 static embeddings or trained ESM2). |
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**Code:** https://github.com/ddofer/ProteinHumVir |
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**Workshop poster:** ICML 2024 (ML4LMS): https://openreview.net/forum?id=gGnJBLssbb |
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## Summary |
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We trained and analyzed protein language model classifiers, and interpretable tabular models in distinguishing **viral** from **human** proteins. |
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The dataset focuses on **DL model errors** (`mistake=True`), which are enriched for proteins implicated in **immune mimicry / immune evasion**. Use this table to reproduce error-profiling, build new classifiers, or explore biological correlates of misclassification. e.g. Explaining the mistakes of the DL/PLM models, using tabular models and explainable features, as we do in the paper. |
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## Schema |
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| column | type | brief description | |
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|---|---|---| |
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| `Sequence` | string | amino-acid sequence | |
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| `Length` | int | Protein sequence length | |
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| `virus` | int | ground truth (1=viral, 0=human) | |
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| `model_pred_proba_vir` | float | P(viral) | |
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| `model_pred_vir` | int | model prediction (1/0) | |
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| `mistake` | bool | prediction ≠ label | |
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| `Baltimore` | string? | viral group (null for human) | |
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| `Family` | string? | viral family | |
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| `Genome Composition` | string | e.g., dsDNA | |
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| `Genus` | string? | viral genus | |
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| `Keywords` | string | UniProt keywords | |
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| `Mass` | int | molecular mass (Da) | |
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| `Organism` | string | source organism | |
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| `Protein names` | string | protein name(s) | |
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| `Taxonomic lineage` | string | taxonomy path | |
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| `UR50_Cluster ID` | string | UniRef/UR50 ID | |
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| `Virus hosts` | string | known hosts | |
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| `av_mw` | float? | avg AA mass feature | |
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| `genus_human_host` | bool| Virus's genus has human host indicator | |
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| `human_host` | bool | Virus with human host indicator | |
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## Loading |
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**Direct (single Parquet):** |
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```python |
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from datasets import load_dataset |
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ds = load_dataset( |
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"parquet", |
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data_files={"train": "https://huggingface.co/datasets/<user>/<repo>/resolve/main/HumanVirus_Protein_mistakes.parquet"}, |
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)["train"] |
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