| --- |
| dataset_info: |
| features: |
| - name: Event_ID |
| dtype: text |
| - name: Timestamp |
| dtype: timestamp |
| - name: Vehicle_Type |
| dtype: text |
| - name: Speed_kmh |
| dtype: text |
| - name: Latitude |
| dtype: text |
| - name: Longitude |
| dtype: text |
| - name: Event_Type |
| dtype: text |
| - name: Severity |
| dtype: text |
| splits: |
| - name: default |
| num_bytes: 3031KB |
| num_examples: 30000 |
| --- |
| |
| # Flowmatic Cleaned Dataset |
|
|
| ## Overview |
| This dataset was cleaned and exported by **Flowmatic**, an intelligent data preparation platform. |
|
|
| **Pipeline Run ID**: `cmnr643le000ml1do503vfdbn` |
| **Generated**: 2026-04-09T08:14:00.156Z |
|
|
| ## Dataset Statistics |
|
|
| - **Total Records**: 30 000 |
| - **Total Columns**: 8 |
| - **File**: `cleaned_data.csv` |
|
|
| ## Column Information |
|
|
| | Column | Type | Non-Null | Null | Sample Values | |
| |--------|------|----------|------|---------------| |
| | Event_ID | text | 30000 | 0 | " 1", " 2", " 3" | |
| | Timestamp | timestamp | 30000 | 0 | " 2024-02-01 08:00:00", " 2024-02-01 08:00:00", " 2024-02-01 08:00:00" | |
| | Vehicle_Type | text | 30000 | 0 | " Bus ", " Truck ", " Truck " | |
| | Speed_kmh | text | 30000 | 0 | " 61", " 74", " 84" | |
| | Latitude | text | 30000 | 0 | " 51.130119", " 51.130046", " 51.129601" | |
| | Longitude | text | 30000 | 0 | " 71.43348 ", " 71.434301", " 71.432699" | |
| | Event_Type | text | 30000 | 0 | " Normal ", " Normal ", " Normal " | |
| | Severity | text | 30000 | 0 | " Low", " Low", " Low" | |
|
|
| ## 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('pushthetempo/test') |
| df = dataset['train'].to_pandas() |
| ``` |
|
|
| Or load directly as CSV: |
|
|
| ```python |
| import pandas as pd |
| |
| df = pd.read_csv('https://huggingface.co/datasets/pushthetempo/test/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)* |
|
|
