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--- |
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license: cc-by-4.0 |
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task_categories: |
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- question-answering |
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language: |
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- en |
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pretty_name: DUDE |
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size_categories: |
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- 10K<n<100K |
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--- |
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## Loading the dataset with a specific configuration |
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There are 3 different OCR versions to choose from with their original format or standardized DUE format, as well as the option to load the documents as filepaths or as binaries (PDF). |
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To load a specific configuration, pass a config from one of the following: |
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```python |
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#{bin_}{Amazon,Azure,Tesseract}_{original,due} |
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['Amazon_due', 'Amazon_original', 'Azure_due', 'Azure_original', 'Tesseract_due', 'Tesseract_original', |
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'bin_Amazon_due', 'bin_Amazon_original', 'bin_Azure_due', 'bin_Azure_original', 'bin_Tesseract_due', 'bin_Tesseract_original'] |
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``` |
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Loading the dataset: |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("jordyvl/DUDE_loader", 'Amazon_original') |
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``` |
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This dataset repository contains helper functions to convert the dataset to ImDB (image database) format. |
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We advise to clone the repository and run it according to your preferences (OCR version, lowercasing, ...). |
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When running the above data loading script, you should be able to find the extracted binaries under the [HF_CACHE](https://huggingface.co/docs/datasets/cache): |
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`HF_CACHE/datasets/downloads/extracted/<hash>/DUDE_train-val-test_binaries`, which can be reused for the `data_dir` argument. |
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For example: |
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```bash |
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python3 DUDE_imdb_loader.py \ |
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--data_dir ~/.cache/huggingface/datasets/downloads/extracted/7adde0ed7b0150b7f6b32e52bcad452991fde0f3407c8a87e74b1cb475edaa5b/DUDE_train-val-test_binaries/ |
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``` |
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For baselines, we recommend having a look at the [MP-DocVQA repository](https://github.com/rubenpt91/MP-DocVQA-Framework) |
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We strongly encourage you to benchmark your best models and submit test set predictions on the [DUDE competition leaderboard](https://rrc.cvc.uab.es/?ch=23) |
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To help with test set predictions, we have included a sample submission file `RRC_DUDE_testset_submission_example.json`. |
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