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cooking_README_huggingface.md

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+---
+license: cc-by-4.0
+task_categories:
+  - video-classification
+  - other
+language:
+  - en
+tags:
+  - egocentric
+  - first-person-video
+  - action-recognition
+  - cooking
+  - chopping
+  - kitchen-activity
+  - computer-vision
+  - hand-object-interaction
+  - food
+  - video
+pretty_name: Cooking and Chopping Activity Egocentric Video Dataset
+size_categories:
+  - n<1K
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: metadata.csv
+---
+
+# 🍳 Cooking & Chopping Activity — Egocentric Video Dataset
+
+First-person point-of-view (POV) video recordings of everyday cooking and chopping activities, captured for computer vision, action recognition, and kitchen activity analysis research.
+
+## Dataset Summary
+
+This dataset contains **11 egocentric video clips** (~102 minutes total) filmed from the wearer's perspective while performing cooking-related tasks in real kitchen environments. It is designed for training and benchmarking machine learning models on fine-grained human activity understanding, hand-object interactions, and procedural learning.
+
+## Dataset Statistics
+
+| Metric | Value |
+|---|---|
+| Total clips | 11 |
+| Total duration | ~102 minutes |
+| Total size | ~6 GB |
+| Main classes | 2 (Cooking, Chopping) |
+| Sub-activity classes | 4 |
+| View type | Egocentric (first-person) |
+| Video format | MP4 |
+| Frame rate | 30 fps |
+| Resolution | 720p – 1080p |
+
+## Supported Tasks
+
+- **Video classification** — classify cooking vs chopping activities
+- **Action recognition** — recognize fine-grained cooking actions
+- **Temporal action localization** — locate actions in untrimmed videos
+- **Hand-object interaction detection** — knives, pans, ingredients
+- **Procedural learning** — recipe step segmentation
+- **Assistive robotics** — training robots for kitchen tasks
+- **Benchmarking** — Ego4D / EPIC-KITCHENS style tasks
+
+## Dataset Structure
+
+### Data Fields
+
+The `metadata.csv` file contains the following columns:
+
+| Column | Type | Description |
+|---|---|---|
+| `file_name` | string | Relative path to the video file |
+| `clip_id` | string | Unique identifier (e.g., `CHP_001`, `COK_001`) |
+| `activity` | string | Main class: `cooking` or `chopping` |
+| `sub_activity` | string | Fine-grained label |
+| `duration` | string | Human-readable duration (HH:MM:SS) |
+| `duration_seconds` | integer | Duration in seconds |
+| `file_size_mb` | float | File size in megabytes |
+| `recording_date` | date | Recording date (YYYY-MM-DD) |
+| `resolution` | string | Video resolution |
+| `fps` | integer | Frames per second |
+| `view_type` | string | Camera view type (`egocentric`) |
+| `notes` | string | Additional context |
+
+### Activity Breakdown
+
+**Chopping (3 clips • ~11 min)**
+- `vegetable_chopping` — 3 clips
+
+**Cooking (8 clips • ~91 min)**
+- `general_cooking` — 6 clips
+- `egg_preparation` — 1 clip
+- `burger_preparation` — 1 clip
+
+## Usage
+
+### Load with 🤗 datasets library
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("verbosetechlabsllp/cooking-chopping-egocentric")
+print(dataset)
+```
+
+### Load metadata directly with Pandas
+
+```python
+import pandas as pd
+
+df = pd.read_csv("hf://datasets/verbosetechlabsllp/cooking-chopping-egocentric/metadata.csv")
+print(df.head())
+print(df['activity'].value_counts())
+print(df['sub_activity'].value_counts())
+```
+
+### Download a specific video
+
+```python
+from huggingface_hub import hf_hub_download
+
+video_path = hf_hub_download(
+    repo_id="verbosetechlabsllp/cooking-chopping-egocentric",
+    filename="videos/cooking/cooking_06.mp4",
+    repo_type="dataset"
+)
+print(f"Video downloaded to: {video_path}")
+```
+
+### Extract sample frames
+
+```python
+import cv2, os
+
+def extract_frames(video_path, out_dir, every_n_seconds=5):
+    os.makedirs(out_dir, exist_ok=True)
+    cap = cv2.VideoCapture(video_path)
+    fps = cap.get(cv2.CAP_PROP_FPS)
+    frame_interval = int(fps * every_n_seconds)
+    count, saved = 0, 0
+    while True:
+        ret, frame = cap.read()
+        if not ret: break
+        if count % frame_interval == 0:
+            cv2.imwrite(f"{out_dir}/frame_{saved:04d}.jpg", frame)
+            saved += 1
+        count += 1
+    cap.release()
+    return saved
+```
+
+## Data Collection
+
+- **Camera view**: First-person / egocentric (head-mounted or chest-mounted)
+- **Environment**: Real home kitchen settings
+- **Lighting**: Natural + indoor mixed
+- **Audio**: Included in MP4 (usable for multimodal research)
+- **Recording period**: March 2025 – June 2026
+
+## Licensing Information
+
+**CC BY 4.0** — Free for research and commercial use with attribution.
+
+## Citation
+
+```bibtex
+@dataset{cooking_chopping_egocentric_2026,
+  title  = {Cooking & Chopping Activity — Egocentric Video Dataset},
+  author = {Verbose Tech Labs LLP},
+  year   = {2026},
+  url    = {https://huggingface.co/datasets/verbosetechlabsllp/cooking-chopping-egocentric}
+}
+```
+
+## More Datasets from Verbose Tech Labs
+
+This dataset is part of a **larger collection of egocentric activity datasets** covering:
+- 👕 Clothing industry manufacturing
+- 🍳 Cooking & food preparation
+- 🧹 Household cleaning tasks
+- 🏭 Industrial workflows
+- ...and more categories in development
+
+**Interested in additional categories or custom data collection?** Reach out via any channel below!
+
+## Contact
+
+- 📞 **Phone:** [+91 7672 000 500](tel:+917672000500)
+- 💬 **WhatsApp:** [+91 7672 000 500](https://wa.me/917672000500)
+- 📧 **Email:** [Hello@VerboseTechLabs.com](mailto:Hello@VerboseTechLabs.com)
+- 🌐 **Website:** [VerboseTechLabs.com](https://VerboseTechLabs.com)
+- 🤗 **All datasets:** [huggingface.co/verbosetechlabsllp](https://huggingface.co/verbosetechlabsllp)
+- 📊 **Kaggle profile:** [kaggle.com/verbosetechlabsllp](https://www.kaggle.com/datasets/verbosetechlabsllp/)

cooking_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
+videos/chopping/chopping_01.mp4,CHP_001,chopping,vegetable_chopping,00:01:45,105,129.87,2026-04-24,1080p,30,egocentric,Short chopping demonstration
+videos/chopping/chopping_02.mp4,CHP_002,chopping,vegetable_chopping,00:06:56,416,512.38,2026-04-24,1080p,30,egocentric,Extended chopping session
+videos/chopping/chopping_03.mp4,CHP_003,chopping,vegetable_chopping,00:02:37,157,157.13,2026-04-24,1080p,30,egocentric,Mixed ingredient chopping
+videos/cooking/cooking_01.mp4,COK_001,cooking,general_cooking,00:11:55,715,51.38,2025-09-14,720p,30,egocentric,Long-duration cooking session
+videos/cooking/cooking_02.mp4,COK_002,cooking,general_cooking,00:31:28,1888,110.35,2025-03-26,1080p,30,egocentric,Extended full-recipe cooking
+videos/cooking/cooking_03.mp4,COK_003,cooking,general_cooking,00:00:30,30,14.03,2026-05-28,1080p,30,egocentric,Quick cooking clip
+videos/cooking/cooking_04.mp4,COK_004,cooking,general_cooking,00:20:49,1249,1991.52,2026-05-10,1080p,30,egocentric,Full recipe cooking session
+videos/cooking/cooking_05.mp4,COK_005,cooking,general_cooking,00:11:42,702,1431.66,2026-05-10,1080p,30,egocentric,Extended cooking demonstration
+videos/cooking/cooking_06.mp4,COK_006,cooking,egg_preparation,00:04:58,298,189.41,2026-06-07,1080p,30,egocentric,Egg cooking process
+videos/cooking/cooking_07.mp4,COK_007,cooking,burger_preparation,00:06:12,372,876.57,2026-06-23,1080p,30,egocentric,Bulk burger making process
+videos/cooking/cooking_08.mp4,COK_008,cooking,general_cooking,00:02:52,172,415.18,2026-05-21,1080p,30,egocentric,General cooking activity