| --- |
| 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). |
|
|
|
|
