Update README.md

README.md

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