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  license: mit
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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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  tags:
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  pretty_name: D.B. Cooper Files Text
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  size_categories:
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  - 10K<n<100K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: mit
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  task_categories:
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  - question-answering
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+ - summarization
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+ - text-classification
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  language:
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  - en
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  tags:
 
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  pretty_name: D.B. Cooper Files Text
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  size_categories:
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  - 10K<n<100K
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+ ---
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+
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+ # DB Cooper FBI Files Text Dataset
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+ This dataset contains extracted text from the FBI's case files on the infamous "DB Cooper" skyjacking (NORJAK investigation). The files are sourced from the [db-cooper-files-text GitHub repository](https://github.com/noops888/db-cooper-files-text) and are provided here for open research and analysis.
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+
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+ ## Dataset Details
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+
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+ - **Source:** FBI NORJAK (DB Cooper) case files, as released and processed in the [db-cooper-files-text project](https://github.com/noops888/db-cooper-files-text).
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+ - **Format:** Each entry contains a chunk of extracted text, the source page, and file metadata.
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+ - **Rows:** 44,138
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+ - **Size:** ~63.7 MB (raw); ~26.8 MB (Parquet)
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+ - **License:** Public domain (U.S. government work); see original repository for details.
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+
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+ ## Motivation
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+
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+ This dataset was created to facilitate research and exploration of one of the most famous unsolved cases in U.S. criminal history. It enables:
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+ - Question answering and information retrieval over the DB Cooper files.
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+ - Text mining, entity extraction, and timeline reconstruction.
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+ - Comparative analysis with other historical FBI files (e.g., the JFK assassination records).
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+
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+ ## Similar Datasets
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+
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+ - [JFK Files Text](https://huggingface.co/datasets/mysocratesnote/jfk-files-text): Extracted text from the JFK assassination records, processed in a similar fashion. See also [jfk-files-text GitHub](https://github.com/noops888/jfk-files-text)[3][5][7].
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+
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+ ## Data Structure
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+
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+ Each row in the dataset contains:
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+ - `id`: Unique identifier for the text chunk.
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+ - `content`: Raw extracted text from the FBI file.
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+ - `sourcepage`: Reference to the original file and page.
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+ - `sourcefile`: Name of [the original PDF file.](https://github.com/noops888/db-cooper-files-text/tree/main/download_script/pdfs)
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+
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+ Example:
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+
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+ ```json
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+ {
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+ "id": "file-cooper_d_b_part042_pdf-636F6F7065725F645F625F706172743034322E706466-page-5",
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+ "content": "The Seattle Office advised the Bureau by airtel dated 5/16/78 that approximately 80 partial latent prints were obtained from the NORJAK aircraft...",
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+ "sourcepage": "cooper_d_b_part042.pdf#page=4",
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+ "sourcefile": "cooper_d_b_part042.pdf"
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+ }
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+ ```
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+
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+ ## Usage
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+
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+ This dataset is suitable for:
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+ - **Question answering**: Retrieve answers to questions about the DB Cooper case directly from primary sources.
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+ - **Information retrieval**: Build search engines or retrieval-augmented generation (RAG) systems.
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+ - **Named entity recognition**: Extract people, places, dates, and organizations from FBI documents.
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+ - **Historical research**: Analyze investigation methods, suspects, and case developments.
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+
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+ ## Task Categories
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+
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+ Besides "question answering", this dataset is well-suited for the following task categories:
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+ - **Information Retrieval**: Document and passage retrieval from large corpora of unstructured text.
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+ - **Named Entity Recognition (NER)**: Identifying people, places, organizations, and other entities in historical documents.
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+ - **Summarization**: Generating summaries of lengthy case files or investigative reports.
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+ - **Document Classification**: Categorizing documents by topic, date, or investigative lead.
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+ - **Timeline Extraction**: Building chronological event sequences from investigative records.
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+
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+ ## Acknowledgments
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+
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+ - FBI for releasing the NORJAK case files.