Datasets:

ogmen
/

K9Bench

dataset_info:
  features:
    - name: idx
      dtype: int64
    - name: video_url
      dtype: string
    - name: question_category
      dtype: string
    - name: question
      dtype: string
    - name: options
      struct:
        - name: A
          dtype: string
        - name: B
          dtype: string
        - name: C
          dtype: string
        - name: D
          dtype: string
        - name: E
          dtype: string
    - name: correct_answer
      dtype: string
  splits:
    - name: test
      num_bytes: 3577381
      num_examples: 4744
  download_size: 1830493
  dataset_size: 3577381
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*
license: cc-by-nc-4.0
task_categories:
  - visual-question-answering
language:
  - en
tags:
  - dogs
  - canine-centric
  - video-question-answering
  - benchmark
  - multiple-choice
pretty_name: K9Bench
size_categories:
  - 1K<n<10K
extra_gated_prompt: >-
  Terms of Use


  For Your Information

  The dataset provides access to videos, images, metadata, and/or links to
  videos obtained from YouTube and other publicly available sources. The dataset
  authors, maintainers, and affiliated organizations do not own the copyrights
  to the videos or other third-party content referenced or linked within the
  dataset.

  Ownership and copyright of all videos and related content remain with the
  respective YouTube channel owners, creators, or rights holders. It is the
  responsibility of the original source channels and content owners to ensure
  that their content complies with YouTube's terms, policies, and applicable
  laws.

  By accessing or using this dataset, you acknowledge and agree to the following
  terms:


  1. Permitted Use

  The dataset may be used only for non-commercial scientific, academic, or
  research purposes.

  Any commercial use, including but not limited to product development,
  commercial training, resale, licensing, redistribution, or use in commercial
  services, is strictly prohibited unless prior written permission is obtained
  from the dataset authors.


  2. Copyright and Ownership

  The dataset authors do not claim ownership of the YouTube videos or any
  third-party media referenced in the dataset.

  You understand and acknowledge that:

  - The dataset may contain links to YouTube videos or references to publicly
  available media.

  - The dataset authors do not own the videos linked or referenced in the
  dataset.

  - Copyright and ownership of the videos remain with the respective content
  owners.

  - You are responsible for ensuring that your use of any linked or referenced
  content complies with applicable copyright laws, YouTube's Terms of Service,
  and any other relevant licenses or restrictions.


  3. Restrictions on Sharing and Redistribution

  You agree that the dataset must not be shared, distributed, published,
  transferred, sublicensed, or redistributed, in whole or in part, to any
  third-party individual, group, institution, company, or organization.

  Access to the dataset is granted only to the approved data requestor or
  authorized user.


  4. Use of Videos and Images in Publications

  Videos, images, frames, or visual examples from the dataset may only be shown
  in academic publications, research papers, theses, posters, or academic
  presentations.

  Any such use must be limited to what is necessary for scholarly communication
  and must properly acknowledge the dataset and, where applicable, the original
  content source.


  5. Compliance with Dataset License

  By accessing or using the dataset, you agree to comply with the applicable
  dataset license and all terms stated in this Terms of Use document.

  You specifically acknowledge and agree that:

  - You understand that the dataset authors do not own the YouTube videos linked
  or referenced in the dataset;

  - You will use the dataset for non-commercial research purposes only;

  - You will not redistribute or share the dataset with unauthorized third
  parties;

  - You will not create a new or derivative dataset without written consent;

  - You agree to the dataset license and all usage restrictions.


  6. Termination of Access

  The dataset authors reserve the right to revoke or terminate access to the
  dataset if you violate any of these Terms of Use or use the dataset in a
  manner inconsistent with the stated research and non-commercial purposes.


  7. No Warranty

  The dataset is provided 'as is' without warranties of any kind, express or
  implied. The dataset authors make no guarantees regarding the availability,
  accuracy, legality, completeness, or continued accessibility of any linked
  videos or third-party content.


  8. Acceptance

  By downloading, accessing, or using the dataset, you confirm that you have
  read, understood, and agree to be bound by these Terms of Use.
extra_gated_fields:
  First Name: text
  Last Name: text
  Email: text
  Affiliation: text
  Country: country
  I understand that K9Bench does not own the YouTube videos linked in this dataset: checkbox
  I agree to use this dataset for non-commercial use ONLY: checkbox
  I agree with the data license for this dataset: checkbox
extra_gated_button_content: Agree and access repository

K9Bench 🐕

K9Bench is a video question-answering benchmark for evaluating fine-grained understanding of canine actions, and interactions in real-world YouTube videos.

Dataset Summary

Each sample pairs a YouTube video with a multiple-choice question requiring detailed visual understanding of dog behavior. Questions span five categories: action sequence, cause-effect analysis, context analysis, interaction analysis, and posture analysis.

Dataset Structure

Field	Type	Description
`idx`	int	Unique sequential index
`video_url`	string	Full YouTube URL
`question_category`	string	One of 5 categories
`question`	string	The question about the video
`options`	dict	Five answer choices (A–E)
`correct_answer`	string	Ground-truth answer (A–E)

Question Categories

action sequence — ordering of behavioral events
cause-effect analysis — causal relationships between actions
context analysis — situational and environmental influences
interaction analysis — social signals between animals or humans
posture analysis — body language and physical cues

Splits

Split	Rows
test	4,744

Usage

from datasets import load_dataset

ds = load_dataset("ogmen/K9Bench")
sample = ds["test"][0]
print(sample["question"])
print(sample["options"])
print(sample["correct_answer"])

Citation

@dataset{k9bench2026,
  title   = {K9-Bench: Evaluating Multimodal LLMs on Canine-Centric Videos},
  year    = {2026},
  url     = {https://huggingface.co/datasets/ogmen/K9Bench}
}