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README.md

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+---
+license: mit
+task_categories:
+  - image-classification
+tags:
+  - tibetan
+  - manuscript
+  - script-classification
+  - bdrc
+  - danyig
+  - pedri
+  - binary
+pretty_name: Danyig vs Pedri Binary Script Classification
+size_categories:
+  - 1K<n<10K
+dataset_info:
+  features:
+    - name: id
+      dtype: string
+    - name: image_bytes
+      dtype: image
+    - name: script
+      dtype:
+        class_label:
+          names:
+            '0': Danyig
+            '1': Pedri
+    - name: script_type
+      dtype: string
+  splits:
+    - name: train
+      num_bytes: 530900000
+      num_examples: 960
+    - name: validation
+      num_bytes: 59500000
+      num_examples: 120
+    - name: test
+      num_bytes: 79900000
+      num_examples: 120
+  download_size: 670300000
+  dataset_size: 670300000
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: "train-*-of-*.parquet"
+      - split: validation
+        path: "val-*-of-*.parquet"
+      - split: test
+        path: "test-*-of-*.parquet"
+---
+
+# Danyig vs Pedri Binary Script Classification Dataset
+
+Stage-2 binary classifier dataset for distinguishing **Danyig** (དབྱངས་ཡིག) from **Pedri** (དཔེ་འབྲི) Tibetan manuscript scripts. This dataset is used after a stage-1 model merges the two into a single `danyig_pedri` class, recovering the finer distinction.
+
+1,200 real page images: **960 train / 120 val / 120 test** — all human-reviewed, no synthetics.
+
+## Class and split counts
+
+| Split | Danyig | Pedri | Total |
+|-------|-------:|------:|------:|
+| train | 480 | 480 | 960 |
+| val | 60 | 60 | 120 |
+| test | 60 | 60 | 120 |
+| **Total** | **600** | **600** | **1,200** |
+
+## Subscript distribution
+
+Danyig has 5 subscripts (DraDring, DraRing, Drathung, Gongshabma, Tsegdrig).
+Pedri has 2 subscripts (Peri, Petsuk).
+Train and val proportions are balanced per subscript using Hamilton-remainder rounding.
+
+### Train (960 images)
+
+| Subscript | Parent | Count |
+|-----------|--------|------:|
+| DraDring | Danyig | 13 |
+| DraRing | Danyig | 20 |
+| Drathung | Danyig | 113 |
+| Gongshabma | Danyig | 1 |
+| Tsegdrig | Danyig | 333 |
+| Peri | Pedri | 115 |
+| Petsuk | Pedri | 365 |
+
+### Val (120 images)
+
+| Subscript | Parent | Count |
+|-----------|--------|------:|
+| DraDring | Danyig | 2 |
+| DraRing | Danyig | 2 |
+| Drathung | Danyig | 14 |
+| Gongshabma | Danyig | 1 |
+| Tsegdrig | Danyig | 41 |
+| Peri | Pedri | 14 |
+| Petsuk | Pedri | 46 |
+
+### Test (120 images — benchmark holdout)
+
+| Subscript | Parent | Count |
+|-----------|--------|------:|
+| DraDring | Danyig | 25 |
+| DraRing | Danyig | 9 |
+| Drathung | Danyig | 17 |
+| Gongshabma | Danyig | 3 |
+| Tsegdrig | Danyig | 6 |
+| Peri | Pedri | 44 |
+| Petsuk | Pedri | 16 |
+
+## Sampling methodology
+
+- **Seed**: 42 (fully deterministic)
+- **Work-level isolation**: the leakage unit is `work_id` (a BDRC manuscript work). All pages of a physical work land in exactly one split — no pages of the same manuscript appear in both train and val/test.
+- **Val-first greedy assignment**: works are assigned to val before train, largest-first within each subscript, to satisfy Hamilton-proportional targets.
+- **Test set**: drawn directly from the fixed benchmark holdout. Test counts match the benchmark reference exactly (no rounding).
+- **Shuffle**: train and val arrays are shuffled after assembly to prevent class/subscript clustering during training.
+- **Human review**: all train/val images were reviewed by a human annotator. Bad images (orientation errors, damaged pages, illegible script) were flagged and excluded. Substitutes were drawn on the fly from the same subscript to maintain quota.
+
+## Parquet schema
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `id` | string | BDRC page ID (e.g. `W3CN502-I3CN212840005`) |
+| `image_bytes` | image | Raw page image (TIF/JPG) |
+| `script` | string | `Danyig` or `Pedri` |
+| `script_type` | string | Subscript name (e.g. `Tsegdrig`, `Petsuk`) |
+
+## Load in Python
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("BDRC/danyig-pedri-binary-script-classifier")
+train = ds["train"]
+val   = ds["validation"]
+test  = ds["test"]
+print(len(train), len(val), len(test))  # 960 120 120
+```
+
+## Source
+
+All images sourced from the [Buddhist Digital Resource Center (BDRC)](https://bdrc.io) manuscript archive. License: MIT.