README.md

metadata

license: cc
pretty_name: AgentVidBench (Sample)
task_categories:
  - video-text-to-text
  - multiple-choice
  - question-answering
configs:
  - config_name: questions
    data_files: questions.jsonl
  - config_name: videos
    data_files: videos.jsonl

AgentVidBench (Sample): A Multi-Hop Video Question Answering Benchmark for Evaluating MLLM Agents

This repository is a representative sample of AgentVidBench, provided so reviewers can inspect data quality without downloading the full ~4GB+ corpus. The full dataset remains available at the link above.

Sample selection

The sample contains the first 10 questions (question_id 1–10) and the 9 unique videos they reference. IDs and filenames are preserved from the full dataset — no renumbering — so any record in this sample can be cross-referenced with the full dataset by its question_id or file_name.

• question_id 1–10 (contiguous)
• Videos referenced: video1, video2, video4, video5, video6, video7, video8, video9, video10 (9 unique; video2 is referenced by both questions 2 and 3, and video3 is not referenced by any of the first 10 questions)
• Whisper transcripts (.srt) are included for each of the 9 videos
• All schemas, fields, and file formats are identical to the full dataset

Layout

.
├── README.md
├── questions.jsonl        # 10 rows — first 10 questions of the full dataset
├── videos.jsonl           # 9 rows — videos referenced by those questions
├── videos/
│   └── video*.mp4         # 9 video files
└── transcripts/
    └── video*.srt         # 9 Whisper transcripts

questions.jsonl schema

Field	Type	Notes
question_id	int	1–100 in the full dataset (1–10 in this sample)
video_path	str	relative path to the video file (videos/videoN.mp4); equals the file_name in videos.jsonl
transcript_path	str	relative path to the Whisper transcript (transcripts/videoN.srt); shares the basename with video_path
title	str	short descriptive title
question_text	str	full question prompt
options	list[str] (len 26)	answer choices in order A, B, C, … Z
answer	str	correct answer letter, A–Z
answer_explanation	str	reasoning + reference for the answer
skills	list[str]	core capabilities the question tests
difficulty	str	easy / medium / hard / very_hard
options_type	str	distractor strategy
categories	list[str]	cognitive task tags
milestones	list[step]	sub-tasks the question tests; each step is {id, type, description}
ecom_required	bool	true iff the answer cannot be locked in until later evidence in the video has been observed (i.e., the full clip must be watched)
trajectory	dict	Reasoning trace. Shape: {steps: list[step], final_answer: str, model: str, temperature: float, generated_at: str, elapsed_seconds: float}. Each step is {tool: str, args: dict, thought: str, observation: str}; args is heterogeneous per tool (HF infers it as a Json feature). Populated for all questions.

videos.jsonl schema

Field	Type	Notes
file_name	str	relative path to the video file (videos/videoN.mp4)
title	str	—
duration	str	M:SS
genre	str	one of 12 enum values
production_style	list[str]	shot/edit style tags
audio_type	list[str]	audio characteristics
length_category	str	short / medium / long
url	str	source URL
license	str	license
source	str	—
author	str	—

Download

hf download KamiKrafton/agentvidbench-sample --repo-type dataset --local-dir dataset-sample

The full dataset is at KamiKrafton/agentvidbench.