--- license: cc0-1.0 language: - en pretty_name: U.S. Department of War UFO/UAP Release 01 โ€” Page Image Dataset size_categories: - 1K **Disclaimer:** This dataset is a faithful reproduction of officially released government documents. It is provided as-is for research, journalism, and historical preservation purposes. The dataset curators make no claims regarding the accuracy, authenticity, or classification status of the content within the original documents. ## ๐Ÿ™ Acknowledgements - **U.S. Department of War** โ€” for the release of these documents via the PURSUE portal. - **Denis Shiryaev (DenisSergeevitch)** โ€” for maintaining the [UFO-USA](https://github.com/DenisSergeevitch/UFO-USA) GitHub archive, which provided the corrected PDF manifest used for metadata mapping and download verification. - **[PyMuPDF](https://github.com/pymupdf/PyMuPDF)** โ€” for the PDF rendering engine. - **[Hugging Face Datasets](https://github.com/huggingface/datasets)** โ€” for the dataset library and Parquet export tools. ## ๐Ÿ“– Citation If you use this dataset in your research, please cite both the original government release and this dataset: ```bibtex @dataset{war_gov_ufo_release_01_images, title = {U.S. Department of War UFO/UAP Release 01 โ€” Page Image Dataset}, author = {{U.S. Department of War}}, year = {2026}, month = {May}, publisher = {Hugging Face}, howpublished = {\url{https://huggingface.co/datasets/bingbangboom/war-gov-ufo-release-01-images}}, note = {Release 01 of the Presidential Unsealing and Reporting System for UAP Encounters (PURSUE). 120 PDFs, 4,134 pages.} } ``` ## ๐Ÿ”— Related Resources - **Original release portal:** [https://www.war.gov/UFO/](https://www.war.gov/UFO/) - **Markdown transcript archive:** [github.com/DenisSergeevitch/UFO-USA](https://github.com/DenisSergeevitch/UFO-USA) - **National Archives UAP records:** [https://www.archives.gov/research/topics/uaps](https://www.archives.gov/research/topics/uaps) - **AARO UAP Records:** [https://www.aaro.mil/UAP-Records/](https://www.aaro.mil/UAP-Records/) ## ๐Ÿ› ๏ธ Usage ```python from datasets import load_dataset # Load the full dataset ds = load_dataset("bingbangboom/war-gov-ufo-release-01-images", split="train") # Access a single page sample = ds[0] print(sample["file_name"]) # Original PDF filename print(sample["page_number"]) # Page number print(sample["agency"]) # Originating agency sample["image"].show() # Display the page image ``` ## Generated by ML Intern This dataset repository was generated by [ML Intern](https://github.com/huggingface/ml-intern), an agent for machine learning research and development on the Hugging Face Hub. - Try ML Intern: https://smolagents-ml-intern.hf.space - Source code: https://github.com/huggingface/ml-intern