Comments (6)
At a minimum I think we can and should release a few test examples to preview the dataset. Let us know if you need something more than that and we can think about what we can do.
from table-transformer.
This is something we can think about how to do. Can you give us more details about what you would like? Are you looking for samples from the training set or from the test set only?
from table-transformer.
Thanks for your reply. Yes, I need samples from the test set to review the dataset. Besides, could you provide a subset from your training set if possible? I think it should be about 10,000 images. It is helpful for researchers who don't have strong enough resources.
from table-transformer.
Any updates on that?
from table-transformer.
@bsmock Is there any update about it? I wanna just check some examples in your datasets.
from table-transformer.
A little while back we put the table structure recognition dataset on Kaggle which should give you the ability to preview and download individual samples.
I'll close this issue but let us know if you have any other issues using the dataset.
Cheers,
Brandon
from table-transformer.
Related Issues (20)
- Loading Weights - not expected behaviour HOT 1
- Table is not getting identified completely after training. HOT 1
- Mapping of cells output with actual inference image
- table transformer : detection issue
- Where is the annotation script?
- ocr in tabletransformer error
- "Urgent"-Issue in null cell- null cell value getting overlapped by next cell value HOT 2
- Question on fine-tuning TATR with a proprietary dataset HOT 1
- What does spans mean in the cell output?
- Structure recognition output is not satisfying for some tables HOT 1
- Evaluation Script Freeze for Fine-tune Table Structure Recognition Model HOT 1
- i try pre-train model but not good
- Table transformer crop issue HOT 1
- create own datasets and train the model HOT 2
- table_transformer relies on onnxruntime~=1.14.1, but onnxruntime==1.14.1 cannot be installed
- How do I perform Batch Inference for TSR? HOT 1
- Many short rows with financial table structure model HOT 2
- TSR model export onnx, but does not support dynamic batch HOT 1
- structure fine-tuning issue
- Adding a words_dir (word tokens) lowers the amount of rows present in the tables_structure and skews the result
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from table-transformer.