The dataset viewer is not available for this subset.
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.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
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.
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 datasetTrain 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 datasetTrain 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 datasetTrain 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.
βββ anonymous-stellar/
β βββ STIPLAR-ko-eval/
β βββ STIPLAR-ar-eval/
β βββ STIPLAR-jp-eval/
β βββ i_s/
β βββ t_f/
β βββ 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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