Update README.md (#1)

- Update README.md (3315ebe6642974a705ac76c0c066b8e8156a4b6c)

README.md

@@ -1,3 +1,4 @@
+---
 pretty_name: MultiCaRe Articles
 license: cc-by-4.0
 task_categories:
@@ -6,7 +7,8 @@ task_categories:
 language:
   - en
 size_categories:
-  - 10K<n<100K
+  - 100K<n<1M
+---
 
 # MultiCaRe: Open-Source Clinical Case Dataset
 
@@ -15,12 +17,13 @@ MultiCaRe aggregates open-access, de-identified clinical case reports from PubMe
 - Source and process: parse PMC OA case reports; extract metadata/abstracts; download/process figures; align captions; build a hierarchical taxonomy for image labels.
 - Scale: 85k+ OA articles, 160k+ images (v2.0).
 - Tasks: article-level retrieval/classification, summarization; joins to cases/images for multimodal tasks.
-- Citation: MDPI DATA paper — https://www.mdpi.com/2306-5729/10/8/123; Zenodo — https://zenodo.org/records/13936721.
+- Citation: MDPI DATA paper — <https://www.mdpi.com/2306-5729/10/8/123>; Zenodo — <https://zenodo.org/records/13936721>.
 
 This repository: per-article dataset
 Per-article dataset with bibliographic metadata and abstracts (one file: articles.parquet).
 
 Schema
+
 - article_id: PMCID (primary key)
 - title, journal, year
 - doi, pmid, pmcid
@@ -29,15 +32,17 @@ Schema
 - abstract: article abstract
 
 Quick start
+
 ```python
 from datasets import load_dataset
 art = load_dataset("openmed-community/multicare-articles", split="train")
 row = art[0]
-print(row["title"]) 
+print(row["title"])
 print(row["abstract"][:600])
 ```
 
 Join examples
+
 ```python
 from datasets import load_dataset
 art = load_dataset("openmed-community/multicare-articles", split="train")
@@ -49,4 +54,5 @@ print(article["title"])  # matching article
 ```
 
 Notes
+
 - Use article-level splits to avoid leakage when combining with images/cases.