README.md

---
license: mit
task_categories:
  - image-classification
tags:
  - tibetan
  - manuscript
  - script-classification
  - benchmark
  - bdrc
pretty_name: Script Classification Benchmark
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': Druma
            '2': Gyuyig
            '3': Pedri
            '4': Tsugdri
            '5': Uchen
    - name: source
      dtype: string
    - name: font_name
      dtype: string
  splits:
    - name: benchmark
      num_bytes: 0
      num_examples: 540
  download_size: 0
  dataset_size: 0
configs:
  - config_name: default
    data_files:
      - split: benchmark
        path: "benchmark.parquet"
---

# Script Classification Benchmark

Holdout benchmark for six-class Tibetan script classification (540 page images).
Each class combines BDRC manuscript scans and synthetic benchmark images from
``Data/benchmark/``.

| Class | Images |
|-------|-------:|
| Danyig | 90 |
| Druma | 90 |
| Gyuyig | 90 |
| Pedri | 90 |
| Tsugdri | 90 |
| Uchen | 90 |

## Parquet schema

| Column | Type | Description |
|--------|------|-------------|
| `id` | string | BDRC page id or synthetic sample id |
| `image_bytes` | binary | JPEG/PNG page image |
| `script` | string | One of the six script families |
| `source` | string | ``bdrc`` or ``synthetic`` |
| `font_name` | string | Synthetic font name (version suffix stripped); empty for BDRC scans |

## Load in Python

```python
from datasets import load_dataset

repo = "BDRC/script-classification-Benchmark"
ds = load_dataset(repo, split="benchmark")
print(len(ds), ds.column_names)  # 540, ['id', 'image_bytes', 'script', 'source', 'font_name']

row = ds[0]
img = row["image_bytes"]  # bytes — same schema as BDRC training Parquet
print(row["source"], row["font_name"])
```

Page-level BDRC holdout ids for training exclusion live in
``benchmark_page_ids.json`` in the local ``Data/benchmark/`` folder.