Add dataset README with metadata

README.md

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+---
+dataset_info:
+  features:
+  - name: Event_ID
+    dtype: timestamp
+  - name: Timestamp
+    dtype: timestamp
+  - name: Vehicle_Type
+    dtype: text
+  - name: Speed_kmh
+    dtype: timestamp
+  - name: Latitude
+    dtype: text
+  - name: Longitude
+    dtype: text
+  - name: Event_Type
+    dtype: text
+  - name: Severity
+    dtype: text
+  - name: Traffic_Density
+    dtype: text
+  splits:
+  - name: default
+    num_bytes: 0KB
+    num_examples: 5
+---
+
+# Flowmatic Cleaned Dataset
+
+## Overview
+This dataset was cleaned and exported by **Flowmatic**, an intelligent data preparation platform. 
+
+**Pipeline Run ID**: `cmm1r1vow0004bt40plobjuj2`
+**Generated**: 2026-02-25T08:07:49.270Z
+
+## Dataset Statistics
+
+- **Total Records**: 5
+- **Total Columns**: 9
+- **File**: `cleaned_data.csv`
+
+## Column Information
+
+| Column | Type | Non-Null | Null | Sample Values |
+|--------|------|----------|------|---------------|
+| Event_ID | timestamp | 5 | 0 | "1", "2", "3" |
+| Timestamp | timestamp | 5 | 0 | "2024-09-13 13:10:48", "2024-10-19 14:34:09", "2024-11-24 18:52:58" |
+| Vehicle_Type | text | 5 | 0 | "Bus", "Car", "Bus" |
+| Speed_kmh | timestamp | 5 | 0 | "72", "4", "36" |
+| Latitude | text | 5 | 0 | "51.101003", "51.116445", "51.15613" |
+| Longitude | text | 5 | 0 | "71.417789", "71.396492", "71.361778" |
+| Event_Type | text | 5 | 0 | "Accident", "Normal", "Sudden De-celeration" |
+| Severity | text | 5 | 0 | "High", "Low", "Low" |
+| Traffic_Density | text | 5 | 0 | "91.41", "45.52", "21.95" |
+
+## Data Quality
+
+This dataset has been processed through Flowmatic's cleaning pipeline:
+
+- ✅ Duplicates removed
+- ✅ Missing values handled (interpolation/forward-fill)
+- ✅ Outliers processed (winsorization)
+- ✅ Type consistency validated
+- ✅ Records exported
+
+## Usage
+
+Load the dataset using Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset('username/dataset_name')
+df = dataset['train'].to_pandas()
+```
+
+Or load directly as CSV:
+
+```python
+import pandas as pd
+
+df = pd.read_csv('https://huggingface.co/datasets/username/dataset_name/raw/main/cleaned_data.csv')
+```
+
+## License
+
+This dataset is released under the CC BY 4.0 license.
+
+---
+
+*Processed with [Flowmatic](https://github.com/flowmatic/flowmatic)*