SHORT/LONG configs + attribution card

README.md

@@ -67,6 +67,8 @@ configs:
     path: SHORT/test-*
 ---
 
+
+
 # OpenPSS — community mirror
 
 > ⚠️ **This is a redistribution (mirror) of the OpenPSS benchmark, not our own work.** It is hosted for
@@ -84,13 +86,17 @@ document boundaries. OpenPSS provides two datasets — **SHORT** and **LONG**. T
 Dutch government records released under the Freedom of Information Act (*Wet open overheid* / Woo), which
 are public records.
 
-## Contents (mirrored as released)
-```
-SHORT/ , LONG/
-  ├─ png.zip            # page images
-  ├─ gold_standard.json # ground-truth document boundaries per stream
-  └─ dataframes/        # per-page text / metadata
+This is a **self-contained, HuggingFace-native reformatting** of the original OpenPSS release (page images
+embedded — no external `png.zip` to unpack), exposed as two loadable **configs** with train/test splits:
+
+```python
+from datasets import load_dataset
+short = load_dataset("nutrientdocs/openpss-mirror", "SHORT")   # or "LONG"
+# columns: stream_id (str), position (int, 1-indexed page in the stream),
+#          image (PIL), text (OCR), label (int: 1 = starts a new document / boundary, else 0)
 ```
+A stream's ground-truth boundaries are the `label` column ordered by `position`; `label[0]` (page 1) is 1
+by construction. Content is faithful to the original OpenPSS SHORT/LONG; only the packaging is changed.
 
 ## Citation
 ```bibtex