Update README.md

README.md

@@ -15,4 +15,60 @@ tags:
 - climate
 size_categories:
 - 10K<n<100K
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+---
+
+# OpenScene-Classification Dataset
+
+A high-quality image classification dataset curated for **scene detection tasks**, particularly useful in training and evaluating models for recognizing various natural and man-made environments.
+
+## Dataset Summary
+
+The **OpenScene-Classification** dataset contains labeled images categorized into six distinct scene types:
+
+- `buildings`
+- `forest`
+- `glacier`
+- `mountain`
+- `sea`
+- `street`
+
+This dataset is structured for supervised image classification, suitable for deep learning models aiming to identify and classify real-world scenes.
+
+## Dataset Structure
+
+- **Split:** `train` (currently only one split)
+- **Format:** `parquet`
+- **Modality:** `Image`
+- **Labels Type:** Integer class indices with corresponding string names
+- **License:** Apache-2.0
+
+Each entry in the dataset includes:
+- `image`: the image of the scene
+- `label`: the class index (e.g., 0 for buildings)
+- `label_name`: the class name (e.g., "buildings")
+
+> Note: The dataset viewer on Hugging Face may take a moment to load all samples.
+
+## Label Mapping
+
+| Class Index | Label      |
+|-------------|------------|
+| 0           | buildings  |
+| 1           | forest     |
+| 2           | glacier    |
+| 3           | mountain   |
+| 4           | sea        |
+| 5           | street     |
+
+## Dataset Stats
+
+- **Size**: 10K - 100K images
+- **Language**: English (tags, metadata)
+- **Tags**: `Scene-Detection`, `buildings`, `forest`, `glacier`, `mountain`, `sea`, `street`
+
+## Intended Use
+
+This dataset is ideal for:
+- Scene classification model training
+- Benchmarking computer vision algorithms
+- Educational purposes in machine learning and AI