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--- |
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license: cc-by-4.0 |
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task_categories: |
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- image-to-text |
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language: |
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- ti |
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tags: |
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- ocr |
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- tigrinya |
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- geez-script |
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- text-recognition |
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- geezlab |
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size_categories: |
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- 100K<n<1M |
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pretty_name: GLOCR - GeezLab OCR Dataset |
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configs: |
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- config_name: news |
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data_files: |
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- split: train |
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path: data/news/train.parquet |
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- split: validation |
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path: data/news/validation.parquet |
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- split: test |
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path: data/news/test.parquet |
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- config_name: bible |
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data_files: |
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- split: train |
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path: data/bible/train.parquet |
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- split: validation |
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path: data/bible/validation.parquet |
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- split: test |
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path: data/bible/test.parquet |
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- config_name: top150k |
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data_files: |
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- split: train |
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path: data/top150k/train.parquet |
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- split: validation |
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path: data/top150k/validation.parquet |
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- split: test |
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path: data/top150k/test.parquet |
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- config_name: characters |
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data_files: |
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- split: train |
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path: data/characters/train.parquet |
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- split: validation |
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path: data/characters/validation.parquet |
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- split: test |
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path: data/characters/test.parquet |
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- config_name: unsegmented |
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data_files: |
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- split: train |
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path: data/unsegmented/train.parquet |
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- config_name: all |
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data_files: |
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- split: train |
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path: data/*/train.parquet |
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- split: validation |
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path: data/*/validation.parquet |
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- split: test |
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path: data/*/test.parquet |
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default: true |
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--- |
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# GLOCR: GeezLab OCR Dataset |
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## Overview |
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GLOCR is a Text Recognition (TR) and Optical Character Recognition (OCR) dataset for the **Tigrinya language**. The dataset contains a total of 661K image-label pairs from multiple data sources. In addition to the characters-only data, the major part of the dataset is a collection of multi-word text images with labels from three categories: News (from Haddas Ertra newspaper), the Bible, and random-trigrams of the 150k most common words in Tigrinya. |
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### Dataset Summary |
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- **Total samples**: ~661K image-label pairs |
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- **Total size**: >1.3GB (tar.gz archives) |
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- **DOI**: [10.7910/DVN/RQTSD2](https://doi.org/10.7910/DVN/RQTSD2) |
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### Dataset Subsets |
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| Config | Description | Train | Validation | Test | |
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|--------|-------------|------:|-----------:|-----:| |
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| `news` | Newspaper text-lines | 200K | 15K | 15K | |
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| `bible` | Biblical text-lines | 80K | 10K | 10K | |
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| `top150k` | Word trigrams | 150K | 15K | 15K | |
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| `characters` | Single characters | 120K | 15K | 15K | |
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| `unsegmented` | Full-page scans | 506 | - | - | |
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## Usage |
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### Loading a specific subset |
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```python |
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from datasets import load_dataset |
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# Load a specific subset, one of: news, bible, top150k, characters, unsegmented |
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news = load_dataset("fgaim/GLOCR-Tigrinya", "news") |
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# Access samples |
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sample = news["train"][0] |
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print(sample["text"]) |
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sample["image"].show() |
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``` |
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### Loading a specific split |
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```python |
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# Load a specific split of a subset |
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bible_test = load_dataset("fgaim/GLOCR-Tigrinya", "bible", split="test") |
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# Access samples |
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print(bible_test["text"][0]) |
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bible_test["image"][0].show() |
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``` |
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### Loading all text-line data combined |
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```python |
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# Load all text-line data combined |
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all_data = load_dataset("fgaim/GLOCR-Tigrinya", "all") |
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# Access samples |
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sample = all_data["train"][0] |
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print(sample["text"]) |
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sample["image"].show() |
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``` |
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## Links |
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- [Harvard Dataverse](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/RQTSD2) |
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- [GitHub Repository](https://github.com/fgaim/GLOCR) |
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## Citation |
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```bibtex |
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@data{gaim-2021-glocr, |
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title = {{GLOCR: GeezLab OCR Dataset}}, |
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author = {Fitsum Gaim}, |
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year = {2021}, |
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month = {April}, |
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publisher = {Harvard Dataverse}, |
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version = {1.0}, |
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doi = {10.7910/DVN/RQTSD2}, |
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url = {https://doi.org/10.7910/DVN/RQTSD2}, |
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dataverse = {https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/RQTSD2} |
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} |
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``` |
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## License |
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This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/). |
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<a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://licensebuttons.net/l/by-sa/4.0/88x31.png" /></a> |
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