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 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 246, in _split_generators
raise ValueError(
ValueError: `file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files
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 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, 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.
791 annotated images for PaddleOCR text detection — all in vertical (top-to-bottom) Chinese ancient literature layout.
This dataset is built specifically for the classic Chinese vertical typesetting you see in ancient books and documents. Instead of the usual left-to-right rows, the text flows down in columns — and PaddleOCR sometimes misses a lot of it in that format (see the original issue here: https://github.com/PaddlePaddle/PaddleOCR/issues/17856).
Every sample gives you:
- The original vertical scan/photograph
- A matching PaddleOCR detection annotation file (standard label format with rectangle coordinates for text regions)
Why this dataset?
Most public OCR datasets are horizontal and modern. Ancient Chinese vertical text is a blind spot for a lot of models, so I put this together to help close the gap. It’s perfect if you’re working on digitizing old books, historical archives, or any project that needs solid vertical detection.
Size
- 791 images + annotations
- Purely Ancient Chinese vertical layout (no mixed directions or languages)
How to use it
- Download
vertical_annotations.zip(361 MB). - Unzip — you’ll get the images and their paired annotation files.
- Drop them straight into your PaddleOCR training pipeline for the detection (det) task.
It builds from my ocr-producer tool (and the synthesis system) to generate extra synthetic vertical examples.
Structure (inside the zip)
The files are organized in the standard PaddleOCR detection style — one image + one annotation file per sample (exact folder layout matches what PaddleOCR expects).
License
MIT — use it freely for research, commercial work, or whatever you need. Attribution is appreciated but not required.
This one comes from the same workflow as my invoice-checkmark-annotations and the ocr-producer repo.
Contact
Questions, ideas for more vertical/ancient-text datasets, or just want to chat about OCR? Reach out at hi@support.alrowilde.com or open an issue on the ocr-producer GitHub.
Happy training — hope this helps your vertical OCR hit the next level! 📜
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