Update dataset card: schema, examples, joins

README.md

@@ -12,16 +12,35 @@ size_categories:
 
 # MultiCaRe Cases
 
-Per-case clinical narratives and demographics from `cases.parquet`.
+Per-case clinical narratives and demographics extracted from case reports.
 
-Schema highlights:
-- case_id: case identifier (equals `images.patient_id`)
-- article_id: PMCID
-- case_text: narrative text
-- age: age in years (0 for <1 yo)
+Schema
+- case_id: case identifier (joins to images.patient_id)
+- article_id: PMCID (joins to articles.article_id)
+- case_text: clinical case narrative
+- age: age in years (0 if <1 y.o.)
 - gender: Female, Male, Transgender, Unknown
 
-Join keys:
-- `case_id` ↔ `images.patient_id`, `case-images.case_id`
-- `article_id` ↔ `articles.article_id`, `abstracts.article_id`
+Quick start
+```python
+from datasets import load_dataset
+tok = "<token>"
+cases = load_dataset("MaziyarPanahi/multicare-cases", split="train", use_auth_token=tok)
+print(cases[0]["case_text"][:600])
+```
 
+Join with images
+```python
+from datasets import load_dataset
+tok = "<token>"
+cases = load_dataset("MaziyarPanahi/multicare-cases", split="train", use_auth_token=tok)
+imgs  = load_dataset("MaziyarPanahi/multicare-images", split="train", use_auth_token=tok)
+
+cid = cases[0]["case_id"]
+imgs_for_case = imgs.filter(lambda e: e["patient_id"] == cid)
+imgs_for_case[0]["image"].show()
+```
+
+Notes
+- No official splits; recommend patient/article-level splitting to avoid leakage.
+- Per-item OA licenses are provided at the image level and via articles.