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| 1 |
+
---
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| 2 |
+
license: cc-by-4.0
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| 3 |
+
task_categories:
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| 4 |
+
- video-classification
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| 5 |
+
- other
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| 6 |
+
language:
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| 7 |
+
- en
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| 8 |
+
tags:
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| 9 |
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- egocentric
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| 10 |
+
- first-person-video
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| 11 |
+
- action-recognition
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| 12 |
+
- skilled-trades
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| 13 |
+
- commercial-work
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| 14 |
+
- construction
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| 15 |
+
- electrician
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| 16 |
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- carpentry
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| 17 |
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- fabrication
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| 18 |
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- vocational
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| 19 |
+
- industrial
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| 20 |
+
- video
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| 21 |
+
pretty_name: Skilled Commercial Work Egocentric Video Dataset Sample
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| 22 |
+
size_categories:
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| 23 |
+
- n<1K
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| 24 |
+
configs:
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| 25 |
+
- config_name: default
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| 26 |
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data_files:
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| 27 |
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- split: train
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| 28 |
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path: metadata.csv
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| 29 |
+
---
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| 30 |
+
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| 31 |
+
# π οΈ Skilled Commercial Work β Egocentric Video Dataset (Sample)
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| 32 |
+
|
| 33 |
+
**This dataset is part of a larger collection of egocentric activity datasets by Verbose Tech Labs LLP. If you want the full dataset, or want access to more categories? Get in touch with us:**
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| 34 |
+
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| 35 |
+
- π **Phone:** [+91 7672 000 500](tel:+917672000500)
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| 36 |
+
- π¬ **WhatsApp:** [+91 7672 000 500](https://wa.me/917672000500)
|
| 37 |
+
- π§ **Email:** [Hello@VerboseTechLabs.com](mailto:Hello@VerboseTechLabs.com)
|
| 38 |
+
- π **Website:** [VerboseTechLabs.com](https://VerboseTechLabs.com)
|
| 39 |
+
- π **More datasets:** [kaggle.com/verbosetechlabsllp](https://www.kaggle.com/verbosetechlabsllp)
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| 40 |
+
|
| 41 |
+
---
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| 42 |
+
|
| 43 |
+
## Dataset Summary
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| 44 |
+
|
| 45 |
+
First-person point-of-view (POV) video recordings of skilled commercial work across multiple trades β brick work, electrical work, metal fabrication, frame manufacturing, furniture assembly, and carpentry. This is a **sample release** showcasing the quality and variety of our larger skilled trades dataset collection.
|
| 46 |
+
|
| 47 |
+
## Dataset Statistics
|
| 48 |
+
|
| 49 |
+
| Metric | Value |
|
| 50 |
+
|---|---|
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| 51 |
+
| Total clips | 8 |
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| 52 |
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| Total duration | ~100 minutes (~1 hour 40 minutes) |
|
| 53 |
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| Total size | ~4.7 GB |
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| 54 |
+
| Trade categories | 6 |
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| 55 |
+
| View type | Egocentric (first-person) |
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| 56 |
+
| Video format | MP4 |
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| 57 |
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| Frame rate | 30 fps |
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| 58 |
+
| Resolution | 1080p |
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| 59 |
+
|
| 60 |
+
## Supported Tasks
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| 61 |
+
|
| 62 |
+
- **Video classification** β classify skilled trade activities
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| 63 |
+
- **Action recognition** β recognize commercial work actions
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| 64 |
+
- **Fine-grained skill classification** β identify specific trade techniques
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| 65 |
+
- **Worker training** β AI-powered tutorial systems
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| 66 |
+
- **Ergonomics research** β repetitive motion analysis
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| 67 |
+
- **Assistive robotics** β training robots for construction & workshops
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| 68 |
+
- **Safety monitoring** β detect risky worker actions
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| 69 |
+
- **Vocational education** β video-based curriculum content
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| 70 |
+
|
| 71 |
+
## Dataset Structure
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| 72 |
+
|
| 73 |
+
### Folder Structure
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| 74 |
+
|
| 75 |
+
```
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| 76 |
+
skilled-commercial-work-egocentric-sample/
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| 77 |
+
βββ videos/
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| 78 |
+
β βββ brick_work/
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| 79 |
+
β β βββ brick_work_01.mp4
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| 80 |
+
β βββ electrician/
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| 81 |
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β β βββ electrician_01.mp4
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| 82 |
+
β β βββ electrician_02.mp4
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| 83 |
+
β βββ fabrication/
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| 84 |
+
β β βββ fabrication_01.mp4
|
| 85 |
+
β β βββ fabrication_02.mp4
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| 86 |
+
β βββ frames_manufacturing/
|
| 87 |
+
β β βββ frames_manufacturing_01.mp4
|
| 88 |
+
β βββ furniture_assembly/
|
| 89 |
+
β β βββ furniture_assembly_01.mp4
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| 90 |
+
β βββ wood_work/
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| 91 |
+
β βββ wood_work_01.mp4
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| 92 |
+
βββ metadata.csv
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| 93 |
+
βββ README.md
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| 94 |
+
```
|
| 95 |
+
|
| 96 |
+
### Data Fields
|
| 97 |
+
|
| 98 |
+
The `metadata.csv` file contains the following columns:
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| 99 |
+
|
| 100 |
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| Column | Type | Description |
|
| 101 |
+
|---|---|---|
|
| 102 |
+
| `file_name` | string | Relative path to the video file |
|
| 103 |
+
| `clip_id` | string | Unique identifier (e.g., `SCW_001`) |
|
| 104 |
+
| `activity` | string | Main trade category |
|
| 105 |
+
| `sub_activity` | string | Fine-grained label |
|
| 106 |
+
| `duration` | string | Human-readable duration (HH:MM:SS) |
|
| 107 |
+
| `duration_seconds` | integer | Duration in seconds |
|
| 108 |
+
| `file_size_mb` | float | File size in megabytes |
|
| 109 |
+
| `recording_date` | date | Recording date (YYYY-MM-DD) |
|
| 110 |
+
| `resolution` | string | Video resolution |
|
| 111 |
+
| `fps` | integer | Frames per second |
|
| 112 |
+
| `view_type` | string | Camera view type (`egocentric`) |
|
| 113 |
+
| `notes` | string | Additional context |
|
| 114 |
+
|
| 115 |
+
### Activity Breakdown
|
| 116 |
+
|
| 117 |
+
| Clip ID | File | Trade | Sub-activity | Duration |
|
| 118 |
+
|---|---|---|---|---|
|
| 119 |
+
| SCW_001 | brick_work_01.mp4 | brick_work | masonry_construction | 00:09:00 |
|
| 120 |
+
| SCW_002 | electrician_01.mp4 | electrician | electrical_wiring | 00:42:10 |
|
| 121 |
+
| SCW_003 | electrician_02.mp4 | electrician | electrical_wiring | 00:16:34 |
|
| 122 |
+
| SCW_004 | fabrication_01.mp4 | fabrication | metal_fabrication | 00:00:30 |
|
| 123 |
+
| SCW_005 | fabrication_02.mp4 | fabrication | metal_fabrication | 00:00:30 |
|
| 124 |
+
| SCW_006 | frames_manufacturing_01.mp4 | frames_manufacturing | frame_assembly | 00:01:31 |
|
| 125 |
+
| SCW_007 | furniture_assembly_01.mp4 | furniture_assembly | furniture_making | 00:15:03 |
|
| 126 |
+
| SCW_008 | wood_work_01.mp4 | wood_work | carpentry | 00:14:16 |
|
| 127 |
+
|
| 128 |
+
### Trade Categories
|
| 129 |
+
|
| 130 |
+
- π§± **Brick Work** β Masonry construction, bricklaying, mortar application
|
| 131 |
+
- β‘ **Electrician** β Electrical wiring, installation, and repair work
|
| 132 |
+
- π© **Fabrication** β Metal fabrication, welding preparation
|
| 133 |
+
- πͺ **Frames Manufacturing** β Window/door frame assembly
|
| 134 |
+
- πͺ **Furniture Assembly** β Furniture making, joinery, assembly
|
| 135 |
+
- πͺ΅ **Wood Work** β Carpentry and woodworking shop activities
|
| 136 |
+
|
| 137 |
+
### Duration Breakdown by Trade
|
| 138 |
+
|
| 139 |
+
- **Electrician** β 2 clips β’ ~58 min (longest coverage β extensive wiring work)
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| 140 |
+
- **Wood Work** β 1 clip β’ ~14 min (carpentry shop)
|
| 141 |
+
- **Furniture Assembly** β 1 clip β’ ~15 min (joinery work)
|
| 142 |
+
- **Brick Work** β 1 clip β’ ~9 min (masonry)
|
| 143 |
+
- **Frames Manufacturing** β 1 clip β’ ~1.5 min (sample)
|
| 144 |
+
- **Fabrication** β 2 clips β’ ~1 min (short samples)
|
| 145 |
+
|
| 146 |
+
## Usage
|
| 147 |
+
|
| 148 |
+
### Load with π€ datasets library
|
| 149 |
+
|
| 150 |
+
```python
|
| 151 |
+
from datasets import load_dataset
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| 152 |
+
|
| 153 |
+
dataset = load_dataset("verbosetechlabsllp/skilled-commercial-work-egocentric-sample")
|
| 154 |
+
print(dataset)
|
| 155 |
+
```
|
| 156 |
+
|
| 157 |
+
### Load metadata directly with Pandas
|
| 158 |
+
|
| 159 |
+
```python
|
| 160 |
+
import pandas as pd
|
| 161 |
+
|
| 162 |
+
df = pd.read_csv("hf://datasets/verbosetechlabsllp/skilled-commercial-work-egocentric-sample/metadata.csv")
|
| 163 |
+
print(df.head())
|
| 164 |
+
print(df['activity'].value_counts())
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| 165 |
+
```
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| 166 |
+
|
| 167 |
+
### Download a specific video
|
| 168 |
+
|
| 169 |
+
```python
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| 170 |
+
from huggingface_hub import hf_hub_download
|
| 171 |
+
|
| 172 |
+
video_path = hf_hub_download(
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| 173 |
+
repo_id="verbosetechlabsllp/skilled-commercial-work-egocentric-sample",
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| 174 |
+
filename="videos/electrician/electrician_01.mp4",
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| 175 |
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repo_type="dataset"
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| 176 |
+
)
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| 177 |
+
print(f"Video downloaded to: {video_path}")
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| 178 |
+
```
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| 179 |
+
|
| 180 |
+
### Extract sample frames
|
| 181 |
+
|
| 182 |
+
```python
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| 183 |
+
import cv2, os
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| 184 |
+
|
| 185 |
+
def extract_frames(video_path, out_dir, every_n_seconds=10):
|
| 186 |
+
os.makedirs(out_dir, exist_ok=True)
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| 187 |
+
cap = cv2.VideoCapture(video_path)
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| 188 |
+
fps = cap.get(cv2.CAP_PROP_FPS)
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| 189 |
+
frame_interval = int(fps * every_n_seconds)
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| 190 |
+
count, saved = 0, 0
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| 191 |
+
while True:
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| 192 |
+
ret, frame = cap.read()
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| 193 |
+
if not ret: break
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| 194 |
+
if count % frame_interval == 0:
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| 195 |
+
cv2.imwrite(f"{out_dir}/frame_{saved:04d}.jpg", frame)
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| 196 |
+
saved += 1
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| 197 |
+
count += 1
|
| 198 |
+
cap.release()
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| 199 |
+
return saved
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| 200 |
+
```
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| 201 |
+
|
| 202 |
+
## Data Collection
|
| 203 |
+
|
| 204 |
+
- **Camera view**: First-person / egocentric (head-mounted or chest-mounted)
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| 205 |
+
- **Environment**: Real construction sites, workshops, and commercial work settings
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| 206 |
+
- **Lighting**: Mixed natural and workshop lighting
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| 207 |
+
- **Audio**: Included in MP4 (includes ambient tool and machine sounds β usable for multimodal research)
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| 208 |
+
- **Recording period**: May 2026 β June 2026
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| 209 |
+
|
| 210 |
+
## Licensing Information
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| 211 |
+
|
| 212 |
+
**CC BY 4.0** β Free for research and commercial use with attribution.
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| 213 |
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|
| 214 |
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## Citation
|
| 215 |
+
|
| 216 |
+
```bibtex
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| 217 |
+
@dataset{skilled_commercial_work_egocentric_2026,
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| 218 |
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title = {Skilled Commercial Work β Egocentric Video Dataset (Sample)},
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| 219 |
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author = {Verbose Tech Labs LLP},
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| 220 |
+
year = {2026},
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| 221 |
+
url = {https://huggingface.co/datasets/verbosetechlabsllp/skilled-commercial-work-egocentric-sample}
|
| 222 |
+
}
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| 223 |
+
```
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| 224 |
+
|
| 225 |
+
## More Datasets from Verbose Tech Labs
|
| 226 |
+
|
| 227 |
+
This dataset is part of a larger collection of egocentric activity datasets covering:
|
| 228 |
+
- π Clothing industry manufacturing
|
| 229 |
+
- π³ Cooking & food preparation
|
| 230 |
+
- π§Ή Household cleaning tasks
|
| 231 |
+
- π Manufacturing unit workflows (sample)
|
| 232 |
+
- π οΈ Skilled commercial work (this β sample)
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| 233 |
+
- ...and more categories in development
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| 234 |
+
|
| 235 |
+
π Browse all our datasets: [kaggle.com/verbosetechlabsllp](https://www.kaggle.com/verbosetechlabsllp) | [huggingface.co/verbosetechlabsllp](https://huggingface.co/verbosetechlabsllp)
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metadata.csv
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file_name,clip_id,activity,sub_activity,duration,duration_seconds,file_size_mb,recording_date,resolution,fps,view_type,notes
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videos/brick_work/brick_work_01.mp4,SCW_001,brick_work,masonry_construction,00:09:00,540,834.29,2026-06-05,1080p,30,egocentric,Construction brick laying and masonry work
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| 3 |
+
videos/electrician/electrician_01.mp4,SCW_002,electrician,electrical_wiring,00:42:10,2530,1225.79,2026-06-07,1080p,30,egocentric,Extended electrical installation and wiring work
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| 4 |
+
videos/electrician/electrician_02.mp4,SCW_003,electrician,electrical_wiring,00:16:34,994,599.68,2026-06-07,1080p,30,egocentric,Electrical installation and repair work
|
| 5 |
+
videos/fabrication/fabrication_01.mp4,SCW_004,fabrication,metal_fabrication,00:00:30,30,36.97,2026-05-28,1080p,30,egocentric,Short metal fabrication clip
|
| 6 |
+
videos/fabrication/fabrication_02.mp4,SCW_005,fabrication,metal_fabrication,00:00:30,30,36.06,2026-05-28,1080p,30,egocentric,Short metal fabrication clip
|
| 7 |
+
videos/frames_manufacturing/frames_manufacturing_01.mp4,SCW_006,frames_manufacturing,frame_assembly,00:01:31,91,676.90,2026-06-11,1080p,30,egocentric,Frame manufacturing sample clip
|
| 8 |
+
videos/furniture_assembly/furniture_assembly_01.mp4,SCW_007,furniture_assembly,furniture_making,00:15:03,903,346.72,2026-06-07,1080p,30,egocentric,Furniture assembly and joinery work
|
| 9 |
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videos/wood_work/wood_work_01.mp4,SCW_008,wood_work,carpentry,00:14:16,856,1005.48,2026-06-05,1080p,30,egocentric,Woodworking and carpentry shop activity
|