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README.md

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+---
+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")
+```