---
dataset_info:
  features:
    - name: data_id
      dtype: string
    - name: image_id
      dtype: string
    - name: image
      dtype: string
    - name: question
      dtype: string
    - name: answer
      dtype: string
    - name: answer_eval
      dtype: string
    - name: entity_id
      dtype: string
    - name: entity_text
      dtype: string
    - name: attribute
      dtype: string
license: apache-2.0
task_categories:
  - visual-question-answering
  - information-retrieval
tags:
  - vision-self-play
  - multimodal
  - knowledge-intensive
---

# OVEN (Vision Self-Play format)

Open-domain Visual Entity Recognition (OVEN), converted to unified Parquet schema.

> Hu et al., Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. ICCV 2023.

## Schema

| Field | Type | Description |
|-------|------|-------------|
| data_id | string | Unique sample ID |
| image_id | string | Image identifier |
| image | string | Image path/URL (empty, resolve at training time) |
| question | string | Question text |
| answer | string (JSON list) | Standard answers |
| answer_eval | string (JSON list) | Acceptable answer variants |
| entity_id | string | Wikidata QID |
| entity_text | string | Entity name |
| attribute | string | Attribute type |

## Splits

| Split | Rows | Size |
|-------|------|------|
| test | 729,259 | 1.8 MB |
| train | 4,958,569 | 9.6 MB |
| val | 129,490 | 0.6 MB |
| **Total** | **5,817,318** | |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("reonokiy/vsp-oven")

# 或加载特定 split
train = load_dataset("reonokiy/vsp-oven", split="train")
```