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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](https://huggingface.co/datasets/agentvidbench/agentvidbench), provided so reviewers can inspect data quality without downloading the full ~4GB+ corpus. The full dataset remains available at the link above.
<div align="center">
<img src="assets/example_q56.png" alt="Q56 — Bicep Curls Before "One More" (example task with human-curated reasoning trajectory; question shown for illustration only and is not included in this sample)" width="75%">
</div>
## 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
```bash
hf download agentvidbench/agentvidbench-sample --repo-type dataset --local-dir dataset-sample
```
The full dataset is at [`agentvidbench/agentvidbench`](https://huggingface.co/datasets/agentvidbench/agentvidbench).
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