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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+
+# **NICO++ DG Benchmark Subset (Unofficial)**
+
+## Dataset Summary
+
+This is a **non-official subset** of the [NICO++ dataset](https://arxiv.org/abs/2204.08040), designed for **Domain Generalization (DG)** evaluation.
+We  select **20 categories** across **6 domains**.
+
+The dataset can be used to benchmark algorithms for **domain generalization, domain adaptation, and robustness testing**.
+
+⚠️ **Note:** This dataset is **not the official release of NICO++**, but a re-organized subset curated for research purposes.
+
+---
+
+## Supported Tasks and Leaderboards
+
+* **Domain Generalization (DG)**
+* **Out-of-Distribution (OOD) Robustness**
+* **Representation Learning with Multiple Contexts**
+
+---
+
+## Languages
+
+* Images contain natural objects and scenes; no text annotations.
+* Labels are in **English**.
+
+---
+
+## Dataset Structure
+
+### Data Fields
+
+Each sample contains:
+
+* `image`: the input image (RGB)
+* `label`: the class label (integer)
+* `category`: the semantic category (string, one of 20)
+* `domain`: the environment/domain (string, one of 6)
+
+### Domains
+
+We follow the DG benchmark setup:
+
+```python
+"domains" = ['autumn', 'dim', 'grass', 'outdoor', 'rock', 'water']
+```
+
+### Categories
+
+The selected 20 categories are:
+
+```python
+"categories" = [
+ 'kangaroo', 'dolphin', 'sailboat', 'pumpkin','gun','sheep','tent','mailbox','cactus','car',
+ 'spider','tortoise','fox','lion','elephant','racket','umbrella','crab','giraffe','chair'
+]
+```
+
+---
+
+## Data Splits
+
+The dataset is split into domains rather than standard train/val/test.
+
+* Researchers may adopt **leave-one-domain-out** DG evaluation, where training uses 5 domains and testing uses the held-out one.
+* Example: Train on {autumn, dim, grass, outdoor, rock}, Test on {water}.
+
+
+
+