---
license: odc-by
tags:
- text
- OCR
configs:
- config_name: karantaocr-bench
  data_files:
  - split: diacritics
    path:
    - diacritics.jsonl
language:
- yo
- ig
- sw
- ha
- af
- ar
pretty_name: KarantaOCR-Bench
size_categories:
- 1K<n<10K
task_categories:
- text-generation
---

# KarantaOCR - Bench

<div align="left">
<img src="https://cdn-uploads.huggingface.co/production/uploads/604b97e27032db3f5e8d6e8e/0IwaKLOehSDEFF3zYY_Wp.png" alt="Karanta OCR Logo" width="100"/>
</div>

**KarantaOCR-Bench** is a unit-test–style evaluation dataset, similar to [olmOCR-bench](https://huggingface.co/datasets/allenai/olmOCR-bench). It consists of **70 PDF documents** and **300 test cases** spanning multiple document types.
All the tests were manually verified by us.
KarantaOCR-Bench is designed specifically to evaluate document text extraction for **Documents with diacritics and special characters**, covering a diverse range of document formats and languages commonly under-represented in existing OCR benchmarks.

### Data Schema

Below is a schema of each test case and what it means:

- `pdf [str]`: This is the name of the pdf file in the `pdf` directory
- `page [str]`: This is the page of the document for this test case
- `id [str]`: Unique ID for this test case
- `type [str]`: This is the test type; a description of each test type can be found in the next section
- `max_diffs [int]`: This is the maximum allowable difference in the OCR outputs and test case for it to pass
- `text [str]`: This is the text span that we search for in the OCR outputt.
- `case_sensitive [bool]`: This indicates whether the test case is case sensitive or not
- `checked [str]`: This indicates whether or not we have verified this test case manually
- `url [str]`: The original file name of the document
- `before [str]`: This only applies to text-order tests and this is the text span that should exist before
- `after [str]`:This only applies to text-order tests and this is the text span that should exist after


### Test Case Types

KarantaOCR-Bench is designed to augment OlmoOCR test with an additional test category for Diacritics and Special Chars:

* **Presence:**
  Presence tests check whether a provided span of text exists in the OCR output. Matches are evaluated with a tolerance defined by the `max_diffs` field, allowing for limited character-level differences.

## Results

| JSONL File      | KarantaOCR (3B) | RoLMOCR (7B) | NanoNetsOCR-2 (3B)  | OLMOCR-2 (7B)  |
| --------------- | ---------- | -------- | ------------- | -------- | 
| Diacritics & Special Characters | **61.6** | 53.6 | 55.1 | 55.5 |


## How to Run the Benchmark on your Model

We are working on a comprehensive guide on how to evaluate your models on this benchmark.

Coming Soon...


## Citation Information

Coming soon ...