Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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STIPLAR: Scene Text Image Pairs of Low-resource lAnguage and Real-world data

  • STIPLAR is a real-world scene text image dataset containing Korean, Arabic, and Japanese text image pairs collected from MLT-2019 and web sources, designed for fine-tuning STELLAR on low-resource languages.
Examples_STIPLAR

To do

  • Dataset download location will be updated.

Dataset

For Stage 2 training, we utilize STIPLAR, our newly proposed scene text image pairs of low-resource language and real-world data. The dataset for each language can be downloaded from Link.

Statistics

Version 1 (2025.08.06)
Lang. Type Train Open Train Crawl Train Total Eval Open Eval Crawl Eval Total
Korean Full image 269 317 586 68 80 148
Korean Text image pair 1456 6229 7685 362 1717 2079
Arabic Full image 252 56 308 64 15 79
Arabic Text image pair 1879 3460 5339 450 531 981
Japanese Full image 97 252 349 25 63 88
Japanese Text image pair 356 1282 1638 97 288 385
  • Train Open, Eval Open: Images from Open-source dataset

  • Train Crawl, Eval Crawl: Images from web crawling.

Version 2 (2025.08.15)
  • In the Arabic Train Crawl, 1 Full image and 3 Text image pairs have been removed.
Lang. Type Train Open Train Crawl Train Total Eval Open Eval Crawl Eval Total
Korean Full image 269 317 586 68 80 148
Korean Text image pair 1456 6229 7685 362 1717 2079
Arabic Full image 252 55 307 64 15 79
Arabic Text image pair 1879 3457 5336 450 531 981
Japanese Full image 97 252 349 25 63 88
Japanese Text image pair 356 1282 1638 97 288 385
  • Train Open, Eval Open: Images from Open-source dataset

  • Train Crawl, Eval Crawl: Images from web crawling.

Version 3 (2025.08.24)
  • In the Arabic Train Open, 1 Full image and 1 Text image pairs have been removed.
Lang. Type Train Open Train Crawl Train Total Eval Open Eval Crawl Eval Total
Korean Full image 269 317 586 68 80 148
Korean Text image pair 1456 6229 7685 362 1717 2079
Arabic Full image 251 55 306 64 15 79
Arabic Text image pair 1878 3457 5335 450 531 981
Japanese Full image 97 252 349 25 63 88
Japanese Text image pair 356 1282 1638 97 288 385
  • Train Open, Eval Open: Images from Open-source dataset

  • Train Crawl, Eval Crawl: Images from web crawling.

Evaluation

Download the STIPLAR-eval dataset from Link and unzip the files. This is a newly re-numbered version that combines the eval-crawling folder and the eval-mlt2019 folder from the STIPILAR dataset.

β”œβ”€β”€ anonymous-stellar/
β”‚   β”œβ”€β”€ STIPLAR-ko-eval/
β”‚   β”œβ”€β”€ STIPLAR-ar-eval/
β”‚   └── STIPLAR-jp-eval/
β”‚       β”œβ”€β”€ i_s/
β”‚       β”œβ”€β”€ t_f/
β”‚       └── i_full/

License

Dataset

The dataset contained in this repository consists of web-crawled images originally distributed under the following open licenses: CC0, CC BY, CC BY-NC, and PDM.

  • Each image retains its original license, which is specified in the metadata.
  • For CC BY images, proper attribution to the original creator is required.
  • For CC BY-NC images, commercial use is not permitted.
  • For CC0 and PDM images, the content is in the public domain and may be freely used.

The dataset curators do not claim ownership of the original images, only of the metadata and dataset organization, which are released under CC BY 4.0.

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