Datasets:

VerboseTechLabs
/

household-cleaning-egocentric

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 246, in _split_generators
                  raise ValueError(
                      "`file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files"
                  )
              ValueError: `file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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🧹 Household Cleaning Tasks — Egocentric Video Dataset

First-person point-of-view (POV) video recordings of everyday household cleaning activities, captured for computer vision, action recognition, and domestic activity analysis research.

Dataset Summary

This dataset contains 12 egocentric video clips (~104 minutes total) filmed from the wearer's perspective while performing common household cleaning tasks in real home environments. It is designed for training and benchmarking machine learning models on domestic activity understanding, assistive robotics, and daily-living AI.

Dataset Statistics

Metric	Value
Total clips	12
Total duration	~104 minutes
Total size	~5.5 GB
Main class	Cleaning
Sub-activity classes	3
View type	Egocentric (first-person)
Video format	MP4
Frame rate	30 fps
Resolution	1080p

Supported Tasks

Video classification — classify cleaning sub-activities
Action recognition — recognize household cleaning actions
Temporal action localization — locate actions in untrimmed videos
Hand-object interaction detection — detect interactions with mops, sponges, cloths, sprays
Assistive robotics — training service robots for domestic tasks

Dataset Structure

Data Fields

The annotations.csv file contains the following columns:

Column	Type	Description
`clip_id`	string	Unique identifier (e.g., `CLN_001`)
`filename`	string	Original video filename
`activity`	string	Main class: `cleaning`
`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
`notes`	string	Additional context

Sub-activity Distribution

deep_cleaning — 3 clips (~87 min)
general_cleaning — 4 clips (~12 min)
surface_wiping — 5 clips (~4 min)

Data Splits

This is an unsplit dataset. Users can create their own train/val/test splits based on clip_id or sub_activity.

Usage

Load with 🤗 datasets library

from datasets import load_dataset

dataset = load_dataset("verbosetechlabsllp/household-cleaning-egocentric")
print(dataset)

Load annotations directly with Pandas

import pandas as pd

df = pd.read_csv("hf://datasets/verbosetechlabsllp/household-cleaning-egocentric/annotations.csv")
print(df.head())
print(df['sub_activity'].value_counts())

Download videos with huggingface_hub

from huggingface_hub import hf_hub_download

video_path = hf_hub_download(
    repo_id="verbosetechlabsllp/household-cleaning-egocentric",
    filename="videos/cleaning (1).mp4",
    repo_type="dataset"
)
print(f"Video downloaded to: {video_path}")

Data Collection

Camera view: First-person / egocentric (head-mounted or chest-mounted)
Environment: Real home settings — kitchens, living rooms, bathrooms, bedrooms
Lighting: Natural + indoor mixed
Audio: Included in MP4 (usable for multimodal research)
Recording period: February 2026 – June 2026

Licensing Information

CC BY 4.0 — Free for research and commercial use with attribution.

Citation

@dataset{household_cleaning_egocentric_2026,
  title  = {Household Cleaning Tasks — Egocentric Video Dataset},
  author = {Verbose Tech Labs LLP},
  year   = {2026},
  url    = {https://huggingface.co/datasets/verbosetechlabsllp/household-cleaning-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
💬 WhatsApp: +91 7672 000 500
📧 Email: Hello@VerboseTechLabs.com
🌐 Website: VerboseTechLabs.com
🤗 All datasets: huggingface.co/verbosetechlabsllp
📊 Kaggle profile: kaggle.com/verbosetechlabsllp

Downloads last month: 25

Total file size:

5.74 GB