# 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.