File size: 2,292 Bytes
cd61f18
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
082d6f9
cd61f18
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
---
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)*