Add task category and improve dataset card

README.md

@@ -1,71 +1,80 @@
 ---
 configs:
-- config_name: "algorithm"
+- config_name: algorithm
   data_files:
   - split: train
-    path: "algorithm/train-*.parquet"
-- config_name: "demo-mm"
+    path: algorithm/train-*.parquet
+- config_name: demo-mm
   data_files:
   - split: train
-    path: "demo-mm/train-*.parquet"
-- config_name: "demo-text"
+    path: demo-mm/train-*.parquet
+- config_name: demo-text
   data_files:
   - split: train
-    path: "demo-text/train-*.parquet"
-- config_name: "html-edit"
+    path: demo-text/train-*.parquet
+- config_name: html-edit
   data_files:
   - split: train
-    path: "html-edit/train-*.parquet"
-- config_name: "html-gen"
+    path: html-edit/train-*.parquet
+- config_name: html-gen
   data_files:
   - split: train
-    path: "html-gen/train-*.parquet"
-- config_name: "manim"
+    path: html-gen/train-*.parquet
+- config_name: manim
   data_files:
   - split: train
-    path: "manim/train-*.parquet"
-- config_name: "python-mm"
+    path: manim/train-*.parquet
+- config_name: python-mm
   data_files:
   - split: train
-    path: "python-mm/train-*.parquet"
-- config_name: "python-text"
+    path: python-mm/train-*.parquet
+- config_name: python-text
   data_files:
   - split: train
-    path: "python-text/train-*.parquet"
-- config_name: "chemistry"
+    path: python-text/train-*.parquet
+- config_name: chemistry
   data_files:
   - split: train
-    path: "chemistry/train-*.parquet"
-- config_name: "asymptote"
+    path: chemistry/train-*.parquet
+- config_name: asymptote
   data_files:
   - split: train
-    path: "asymptote/train-*.parquet"
-- config_name: "latex"
+    path: asymptote/train-*.parquet
+- config_name: latex
   data_files:
   - split: train
-    path: "latex/train-*.parquet"
-- config_name: "lilypond"
+    path: latex/train-*.parquet
+- config_name: lilypond
   data_files:
   - split: train
-    path: "lilypond/train-*.parquet"
-- config_name: "mermaid"
+    path: lilypond/train-*.parquet
+- config_name: mermaid
   data_files:
   - split: train
-    path: "mermaid/train-*.parquet"
-- config_name: "svg"
+    path: mermaid/train-*.parquet
+- config_name: svg
   data_files:
   - split: train
-    path: "svg/train-*.parquet"
-- config_name: "vegalite"
+    path: svg/train-*.parquet
+- config_name: vegalite
   data_files:
   - split: train
-    path: "vegalite/train-*.parquet"
-- config_name: "javascript"
+    path: vegalite/train-*.parquet
+- config_name: javascript
   data_files:
   - split: train
-    path: "javascript/train-*.parquet"
+    path: javascript/train-*.parquet
+task_categories:
+- image-text-to-text
 ---
 
 # PrismaCoder-2M
 
-We are still actively uploading the dataset. The full dataset will be available soon.
+PrismaCoder-2M is a large-scale multimodal code intelligence dataset introduced in the paper [PrismaCoder: Pushing the Boundaries of Open Multimodal Code Intelligence through Decomposed Rubric Synthesis](https://huggingface.co/papers/2610.20538).
+
+- **Project page:** https://qiushisun.github.io/PrismaCoder-Home/
+- **Code:** https://github.com/QiushiSun/PrismaCoder
+
+The dataset contains 2M examples covering chart generation, web interfaces, interactive demos, vector graphics, scientific documents, chemical structures, and animations. It includes both vision-centric and text-centric tasks.
+
+We are still actively uploading the dataset. The full dataset will be available soon.