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| # VideoGAIA-271 | |
| VideoGAIA-271 is a human-verified benchmark for agentic video understanding. It contains 271 open-ended tasks that require a model to combine visual-temporal evidence with targeted tool use and external knowledge. | |
| ## Files | |
| ```text | |
| videogaia_data/ | |
| ├── README.md | |
| ├── videogaia_271.jsonl | |
| └── videos/ | |
| └── 271 MP4 videos | |
| ``` | |
| All paths stored in the JSONL are relative to this directory, so the package can be moved without rewriting metadata. | |
| ## Statistics | |
| | Category | Tasks | | |
| | --- | ---: | | |
| | Culture | 58 | | |
| | Geography | 63 | | |
| | Daily Life | 61 | | |
| | History | 44 | | |
| | Technology | 39 | | |
| | Economics | 6 | | |
| | **Total** | **271** | | |
| | Difficulty | Tasks | | |
| | --- | ---: | | |
| | L1 | 62 | | |
| | L2 | 209 | | |
| L1 contains the relatively more accessible tasks, while L2 emphasizes harder multi-step evidence acquisition, cross-modal reasoning, and verification. | |
| ## JSONL Schema | |
| Each line is one JSON object with the following fields: | |
| | Field | Type | Description | | |
| | --- | --- | --- | | |
| | `sample_id` | string | Stable sample identifier | | |
| | `video.local_path` | string | Relative path to the MP4 file | | |
| | `video.duration_sec` | number | Video duration in seconds | | |
| | `question_en` | string | English open-ended question used for evaluation | | |
| | `answer` | string | Human-verified reference answer | | |
| | `category` | string | One of the six VideoGAIA categories | | |
| | `difficulty` | string | `L1` or `L2` | | |
| Example: | |
| ```json | |
| {"sample_id":"vdr_example","video":{"local_path":"videos/vdr_example.mp4","duration_sec":21.2},"question_en":"...","answer":"...","category":"Technology","difficulty":"L1"} | |
| ``` | |
| ## Loading | |
| ```python | |
| import json | |
| from pathlib import Path | |
| root = Path("videogaia_data") | |
| with (root / "videogaia_271.jsonl").open(encoding="utf-8") as handle: | |
| samples = [json.loads(line) for line in handle if line.strip()] | |
| first_video = root / samples[0]["video"]["local_path"] | |
| print(samples[0]["question_en"], first_video) | |
| ``` | |
| The companion `videogaia` repository contains the official agent-loop inference and evaluation harness. | |
| ## Citation | |
| Citation metadata and the final redistribution terms should be added alongside the public VideoGAIA paper release. | |