Create README.md

README.md

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+---
+license: cc-by-4.0
+---
+
+# Dataset Card for Iris Dataset
+
+## Dataset Summary
+
+The Iris dataset is a classic multivariate dataset introduced by Ronald Fisher in 1936. It contains **150 samples** of iris flowers from three different species: *Iris setosa*, *Iris versicolor*, and *Iris virginica*. Each sample has four features: sepal length, sepal width, petal length, and petal width.
+
+This dataset is widely used for **classification tasks**, especially in machine learning tutorials and benchmarks.
+
+---
+
+## Dataset Structure
+
+- **Instances:** 150
+- **Features:**
+  - `sepal_length` (float)
+  - `sepal_width` (float)
+  - `petal_length` (float)
+  - `petal_width` (float)
+  - `species` (label: 0 = setosa, 1 = versicolor, 2 = virginica)
+
+---
+
+## Labels
+
+There are 3 classes:
+- 0: *Iris setosa*
+- 1: *Iris versicolor*
+- 2: *Iris virginica*
+
+---
+
+## Source
+
+Original source: [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/iris)
+
+---
+
+## License
+
+Creative Commons Attribution 4.0 International (CC BY 4.0)
+
+---
+
+## Intended Use
+
+This dataset is intended for:
+- Educational purposes
+- Model prototyping
+- Benchmarking classification algorithms
+
+---
+
+## Limitations
+
+- Small dataset: only 150 samples
+- Balanced classes, not suitable for testing imbalanced techniques
+
+---
+
+## Example
+
+| sepal_length | sepal_width | petal_length | petal_width | species        |
+|--------------|-------------|--------------|-------------|----------------|
+| 5.1          | 3.5         | 1.4          | 0.2         | Iris-setosa    |
+
+---
+
+## Citation
+
+If you use this dataset, consider citing:
+
+> Fisher, R.A. (1936) "The use of multiple measurements in taxonomic problems." Annals of Eugenics, 7, Part II, 179–188.