card: statistics as in the paper

README.md

@@ -28,7 +28,7 @@ configs:
 
 # Multi³IR-Bench
 
-Multi-perspective, multi-domain, multi-modal information retrieval benchmark ([paper](https://arxiv.org/abs/2608.30949), [code](https://github.com/seokwon99/Multi3IR)). 103,877 training / 1,039 evaluation Stack Exchange questions, each with ≥ 4 perspective descriptions and judged gold documents (C4 web text and web images) per perspective.
+Multi-perspective, multi-domain, multi-modal information retrieval benchmark ([paper](https://arxiv.org/abs/2608.30949), [code](https://github.com/seokwon99/Multi3IR)). 104.9K Stack Exchange questions (72K train / 32K validation / 1.0K test) with 521.7K perspective descriptions (4.98 per query) and judged gold documents per perspective, over a 1.01M-document corpus of C4 web text and web images. This release ships the train split (train + validation questions together) and the 1.0K test split.
 
 | config | split | rows | columns |
 |---|---|---|---|
@@ -43,7 +43,7 @@ from datasets import load_dataset
 gold = load_dataset("seokwon99/Multi3IR", "gold", split="eval")
 ```
 
-Sources: Stack Exchange (CC BY-SA 4.0), C4 (ODC-BY), images © their owners (research use). Perspectives were written by gpt-5-mini and filtered for validity and uniqueness; document support was judged by Qwen3-VL-30B (89% agreement with human labels).
+Sources: Stack Exchange (CC BY-SA 4.0), C4 (ODC-BY), images © their owners (research use). Perspectives were written by GPT-5-mini and filtered for faithfulness (Bespoke-MiniCheck-7B) and uniqueness (all-MiniLM-L6-v2, cosine > 0.8); document support was judged by Qwen3-VL-30B-A3B-Instruct (agreement 0.90 with human labels on `fully`).
 
 ```bibtex
 @article{song2026multi3ir,