Error code:   ConfigNamesError
Exception:    ValueError
Message:      Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('imagefolder', {}), NamedSplit('validation'): ('imagefolder', {}), NamedSplit('test'): ('text', {})}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 65, in compute_config_names_response
                  get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1846, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1821, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1215, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 589, in infer_module_for_data_files
                  raise ValueError(f"Couldn't infer the same data file format for all splits. Got {split_modules}")
              ValueError: Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('imagefolder', {}), NamedSplit('validation'): ('imagefolder', {}), NamedSplit('test'): ('text', {})}

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Table Detection in Document Images using YOLOv8

The Table Detection YOLO dataset is a collection of document images annotated with table bounding boxes suitable for
training object detection models, specifically using the YOLOv8 (You Only Look Once) architecture. The dataset is intended
for developing and evaluating table detection algorithms within the field of document analysis and recognition. The
annotations define the locations of tables within a variety of document images, which can range from scanned documents to
digital PDFs.

Dataset Labels

['table']

Number of Images

{"train": 815, "valid": 152, "test": 52}

Getting Started

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