Add dataset card

README.md

@@ -0,0 +1,60 @@
+---
+license: cc-by-4.0
+task_categories:
+- object-detection
+- image-to-text
+- zero-shot-object-detection
+language:
+- en
+pretty_name: ORCA 100-image random sample
+size_categories:
+- n<1K
+source_datasets:
+- WongYukKwan/ORCA
+tags:
+- marine-species
+- coco-format
+---
+
+# ORCA 100-image random sample
+
+A random sample of **100 images** (with their annotations) drawn from the ORCA dataset
+([WongYukKwan/ORCA](https://huggingface.co/datasets/WongYukKwan/ORCA)), the benchmark from
+*ORCA: Object Recognition and Comprehension for Archiving Marine Species* (WACV 2026,
+[arXiv:2512.21150](https://arxiv.org/abs/2512.21150)).
+
+## How it was sampled
+
+- 100 images sampled uniformly at random with a fixed seed (`random.Random(42)`) from the
+  14,645 images in the source dataset.
+- The 100 sampled images span all 670 species categories in expectation; the sample contains
+  269 bounding-box annotations (with captions).
+- Annotations in `data.json` are filtered to only the sampled images; the full `categories`
+  taxonomy (670 entries) is kept unchanged so category IDs still resolve.
+
+## Structure
+
+COCO format, identical to the source dataset:
+
+- `data.json` — `{"images": [...], "annotations": [...], "categories": [...]}`
+- `images/` — the 100 sampled image files
+
+Each annotation carries `bbox`, `caption`, and `label`
+(0 = LLM-generated positive caption, 1 = LLM-generated negative caption,
+2 = expert-refined positive caption).
+
+## License
+
+The source dataset is released under **CC-BY-4.0**; this sample inherits that license.
+Please cite the original ORCA paper if you use this sample:
+
+```bibtex
+@InProceedings{Wong_2026_WACV,
+    author    = {Wong, Yuk-Kwan and Liang, Haixin and Ma, Zeyu and Chen, Yiwei and Zheng, Ziqiang and Gotama, Rinaldi and Sebastian, Pascal and Sparks, Lauren D. and Yeung, Sai-Kit},
+    title     = {ORCA: Object Recognition and Comprehension for Archiving Marine Species},
+    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
+    month     = {March},
+    year      = {2026},
+    pages     = {1597-1609}
+}
+```