| --- |
| license: apache-2.0 |
| task_categories: |
| - image-classification |
| language: |
| - hi |
| - mr |
| - ne |
| - sa |
| - bn |
| - as |
| - pa |
| - gu |
| - or |
| - ta |
| - te |
| - kn |
| - ml |
| - ur |
| - sat |
| - mni |
| - en |
| tags: |
| - font-identification |
| - font-recognition |
| - indic |
| - typography |
| - synthetic |
| pretty_name: Lipika eval — Indic font recognition benchmark |
| size_categories: |
| - 1K<n<10K |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: family |
| dtype: string |
| - name: script |
| dtype: string |
| - name: weight |
| dtype: int32 |
| - name: italic |
| dtype: bool |
| - name: font_file |
| dtype: string |
| - name: font_license |
| dtype: string |
| - name: font_source |
| dtype: string |
| splits: |
| - name: validation |
| num_bytes: 293259746 |
| num_examples: 6876 |
| download_size: 289898553 |
| dataset_size: 293259746 |
| configs: |
| - config_name: default |
| data_files: |
| - split: validation |
| path: data/validation-* |
| --- |
| |
| # Lipika eval — Indic font recognition benchmark |
|
|
| The frozen validation set behind **[loopdesk-ai/lipika](https://huggingface.co/loopdesk-ai/lipika)** |
| (Indic font recognizer): **6,876 synthetic text crops** covering **553 freely-licensed font |
| families** across **13 scripts** (Devanagari, Bengali, Gujarati, Gurmukhi, Kannada, Malayalam, |
| Meetei Mayek, Odia, Ol Chiki, Perso-Arabic, Tamil, Telugu, Latin). |
|
|
| This is the set reported as "synthetic val" in the model card (Lipika v2.4 scores **0.849 |
| family top-1 / 0.977 top-5 / 0.991 script**). Use it to benchmark your own font-ID model or |
| to reproduce ours. |
|
|
| ## How it was made |
|
|
| Crops are rendered with proper Indic shaping (HarfBuzz via a Pillow/raqm stack) from the |
| open [Lipika font corpus](https://github.com/Loopdesk-AI/lipika), with the frozen-eval |
| augmentation distribution: varied sizes, colors, backgrounds, mild blur/noise/rotation, |
| JPEG artifacts. Seed-frozen (`seed 2028`) — the generator lives in |
| [`fontrecog/dataset/pregenerate_val.py`](https://github.com/Loopdesk-AI/lipika/blob/main/src/fontrecog/dataset/pregenerate_val.py). |
|
|
| **Training data is not published as files** — it is rendered on the fly from font files by |
| the same pipeline; the corpus manifest + fetch scripts in the GitHub repo reproduce it. |
|
|
| ## Fields |
|
|
| | Field | Description | |
| |---|---| |
| | `image` | RGB text crop | |
| | `family` | Font family label (one of 553) | |
| | `script` | Writing script of the rendered text | |
| | `weight` | CSS weight bucket 100–900 | |
| | `italic` | Italic/oblique flag | |
| | `font_file` | Source font filename | |
| | `font_license` | Upstream font license (OFL, GPL+FE, freeware, …) | |
| | `font_source` | Corpus source (google_fonts, smc, ekushey, salrc, …) | |
| |
| ## Licensing |
| |
| Dataset packaging & annotations: **Apache-2.0**. Images are bitmap renders of freely |
| licensed / freely distributed fonts only (OFL, GPL with font exception, public freeware); |
| each row carries its font's upstream license in `font_license`. Crops rendered from |
| proprietary system fonts (10 families, 84 crops of the original 6,960) are **excluded** from |
| this release; scores on this subset may differ from the model card's full-set numbers by |
| <0.2pt. |
|
|
| ## Load |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("loopdesk-ai/lipika-eval", split="validation") |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @software{lipika2026, |
| title = {Lipika: Indic Font Recognition}, |
| author = {Loopdesk}, |
| year = {2026}, |
| url = {https://huggingface.co/loopdesk-ai/lipika} |
| } |
| ``` |
|
|
