Datasets:

fgaim
/

GLOCR-Tigrinya

license: cc-by-4.0
task_categories:
  - image-to-text
language:
  - ti
tags:
  - ocr
  - tigrinya
  - geez-script
  - text-recognition
  - geezlab
size_categories:
  - 100K<n<1M
pretty_name: GLOCR - GeezLab OCR Dataset
configs:
  - config_name: news
    data_files:
      - split: train
        path: data/news/train.parquet
      - split: validation
        path: data/news/validation.parquet
      - split: test
        path: data/news/test.parquet
  - config_name: bible
    data_files:
      - split: train
        path: data/bible/train.parquet
      - split: validation
        path: data/bible/validation.parquet
      - split: test
        path: data/bible/test.parquet
  - config_name: top150k
    data_files:
      - split: train
        path: data/top150k/train.parquet
      - split: validation
        path: data/top150k/validation.parquet
      - split: test
        path: data/top150k/test.parquet
  - config_name: characters
    data_files:
      - split: train
        path: data/characters/train.parquet
      - split: validation
        path: data/characters/validation.parquet
      - split: test
        path: data/characters/test.parquet
  - config_name: unsegmented
    data_files:
      - split: train
        path: data/unsegmented/train.parquet
  - config_name: all
    data_files:
      - split: train
        path: data/*/train.parquet
      - split: validation
        path: data/*/validation.parquet
      - split: test
        path: data/*/test.parquet
    default: true

GLOCR: GeezLab OCR Dataset

Overview

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.

Dataset Summary

Total samples: ~661K image-label pairs
Total size: >1.3GB (tar.gz archives)
DOI: 10.7910/DVN/RQTSD2

Dataset Subsets

Config	Description	Train	Validation	Test
`news`	Newspaper text-lines	200K	15K	15K
`bible`	Biblical text-lines	80K	10K	10K
`top150k`	Word trigrams	150K	15K	15K
`characters`	Single characters	120K	15K	15K
`unsegmented`	Full-page scans	506	-	-

Usage

Loading a specific subset

from datasets import load_dataset

# Load a specific subset, one of: news, bible, top150k, characters, unsegmented
news = load_dataset("fgaim/GLOCR-Tigrinya", "news")

# Access samples
sample = news["train"][0]
print(sample["text"])
sample["image"].show()

Loading a specific split

# Load a specific split of a subset
bible_test = load_dataset("fgaim/GLOCR-Tigrinya", "bible", split="test")

# Access samples
print(bible_test["text"][0])
bible_test["image"][0].show()

Loading all text-line data combined

# Load all text-line data combined
all_data = load_dataset("fgaim/GLOCR-Tigrinya", "all")

# Access samples
sample = all_data["train"][0]
print(sample["text"])
sample["image"].show()

Citation

@data{gaim-2021-glocr,
  title     = {{GLOCR: GeezLab OCR Dataset}},
  author    = {Fitsum Gaim},
  year      = {2021},
  month     = {April},
  publisher = {Harvard Dataverse},
  version   = {1.0},
  doi       = {10.7910/DVN/RQTSD2},
  url       = {https://doi.org/10.7910/DVN/RQTSD2},
  dataverse = {https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/RQTSD2}
}

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.