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README.md

@@ -1,28 +1,72 @@
----
-dataset_info:
-  features:
-  - name: bulk_expression
-    list: float64
-  - name: labels
-    dtype: int64
-  - name: disease_state
-    dtype: string
-  - name: sample_id
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 12887107
-    num_examples: 88
-  - name: validation
-    num_bytes: 3221777
-    num_examples: 22
-  download_size: 16112777
-  dataset_size: 16108884
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
----
+# Virtual Cell — Distilled Bulk Encoder Example Dataset
+
+A minimal sample dataset for verifying the data format and running quick
+end-to-end checks with
+[ConvergeBio/virtual-cell-distil-bulk](https://huggingface.co/ConvergeBio/virtual-cell-distil-bulk).
+
+> **This dataset is not intended for training or evaluation.** It contains a
+> small number of samples and is not representative of a real distribution.
+> Metrics produced from this dataset should not be interpreted.
+
+## Dataset contents
+
+Derived from a public sepsis bulk RNA-seq study (GSE185263). Preprocessed
+into the model's input format as a minimal working example.
+
+| Split | Samples | Class distribution |
+|---|---|---|
+| train | 88 | 53 sepsis / 35 healthy |
+| validation | 22 | 13 sepsis / 9 healthy |
+
+Labels: `0` = healthy, `1` = sepsis.
+
+## Loading
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("ConvergeBio/virtual-cell-distil-bulk-example", token="...")
+train_ds = ds["train"]
+val_ds   = ds["validation"]
+```
+
+## Schema
+
+| Column | Shape | Type | Description |
+|---|---|---|---|
+| `bulk_expression` | [18301] | float32 | Log-normalised bulk gene expression, aligned to `gene_names.txt` |
+| `labels` | scalar | int | Class index (0 = healthy, 1 = sepsis) |
+| `disease_state` | scalar | str | Original label string |
+| `sample_id` | scalar | str | GEO sample accession ID |
+
+## Citation
+
+If you use this dataset, please cite the original study:
+
+```bibtex
+@article{baghela2022sepsis,
+  author  = {Baghela, A. and others},
+  title   = {Predicting sepsis severity at first clinical presentation: The role of endotypes and mechanistic signatures},
+  journal = {EBioMedicine},
+  year    = {2022},
+  volume  = {75},
+  pages   = {103776},
+  doi     = {10.1016/j.ebiom.2021.103776},
+  note    = {GEO accession: GSE185263},
+}
+```
+
+If you use the Virtual Cell distilled bulk encoder, please also cite:
+
+```bibtex
+@article{convergecell2026,
+  author = {ConvergeBio},
+  title  = {ConvergeCELL: An end-to-end platform from patient transcriptomics to therapeutic hypotheses},
+  year   = {2026},
+  note   = {Preprint available on bioRxiv},
+}
+```
+
+## License
+
+[TBD]