| --- |
| 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)* |
| |
