Update README.md

README.md

@@ -6,7 +6,7 @@ pretty_name: IDP-Euka-90
 # IDP-Euka-90
 
 **IDP-Euka-90** is a collection of eukaryotic protein sequences curated for representation learning and downstream analysis of **intrinsically disordered proteins/regions (IDPs/IDRs)**.  
-The dataset is distributed as a single split (default `train`) with a **`split` column** preserved so you can create train/val views on the fly without separate datasets.
+The HF dataset is distributed as a train/val split and the backup csv has a **`split` column** prepared.
 
 ---
 
@@ -14,7 +14,6 @@ The dataset is distributed as a single split (default `train`) with a **`split`
 
 - **Columns**
   - `sequence` — protein amino-acid sequence (single-letter codes)
-  - `split` — string label (e.g., `train`, `val`); kept for convenient filtering
 
 - **Format**
   - Hosted on the Hugging Face Hub as an Arrow/CSV-backed dataset.
@@ -27,11 +26,7 @@ The dataset is distributed as a single split (default `train`) with a **`split`
 from datasets import load_dataset
 
 repo_id = "InstaDeepAI/IDP-Euka-90"
-ds = load_dataset(repo_id, split="train")   # columns: ["sequence", "split"]
+ds = load_dataset(repo_id)
 print(ds)
 print(ds.features)
 
-# Create views using the preserved 'split' column
-train_ds = ds.filter(lambda x: x["split"] == "train")
-val_ds   = ds.filter(lambda x: x["split"] == "val")
-print(len(train_ds), len(val_ds))