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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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+ - text-generation
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+ language:
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+ - en
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+ tags:
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+ - nuremberg-trials
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+ - history
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+ - law
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+ - world-war-2
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+ - international-law
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+ - war-crimes
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+ size_categories:
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+ - 100M<n<1B
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+ ---
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+
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+ # Nuremberg Trials Complete Dataset
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+
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+ The most comprehensive digital collection of Nuremberg Trials documents available.
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+
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+ ## Contents
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+
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+ ### Harvard Law School Transcripts (518MB)
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+ - **13 trials** with complete transcripts
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+ - **153,010 pages** of testimony
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+ - Source: [Harvard Law School Nuremberg Trials Project](https://nuremberg.law.harvard.edu/)
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+
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+ | Trial | Name | Pages |
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+ |-------|------|-------|
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+ | 1 | Medical Case (Karl Brandt et al.) | 11,681 |
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+ | 2 | Milch Case | 3,105 |
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+ | 3 | Justice Case | 11,122 |
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+ | 4 | Hostages Case | 10,549 |
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+ | 5 | Pohl Case | 8,224 |
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+ | 6 | Einsatzgruppen Case | 6,893 |
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+ | 7 | IMT - Main Trial (Goering et al.) | 17,268 |
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+ | 8 | Flick Case | 11,087 |
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+ | 9 | IG Farben Case | 15,628 |
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+ | 10 | RuSHA Case | 5,415 |
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+ | 11 | Krupp Case | 13,447 |
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+ | 12 | Ministries Case | 29,077 |
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+ | 13 | High Command Case | 9,514 |
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+
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+ ### Yale Avalon Project (192MB)
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+ - **857 documents**
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+ - **11.3 million words**
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+ - Includes: Judgments, indictments, London Charter, trial proceedings (22 volumes), Nazi Conspiracy & Aggression documents
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+ - Source: [Yale Law School Avalon Project](https://avalon.law.yale.edu/subject_menus/imt.asp)
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+
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+ ### Wikipedia (5.5MB)
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+ - **49 pages** of structured data
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+ - 24 defendant biographies
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+ - 11 trial overview pages
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+ - 8 key prosecutors/judges
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+ - 6 Nazi organization pages
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load Harvard transcripts
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+ dataset = load_dataset("Adherence/nuremberg-trials-complete", data_dir="harvard_transcripts")
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+
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+ # Load Yale documents
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+ import json
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+ from huggingface_hub import hf_hub_download
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+
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+ yale_path = hf_hub_download(
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+ repo_id="Adherence/nuremberg-trials-complete",
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+ filename="yale_avalon/all_documents.json",
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+ repo_type="dataset"
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+ )
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+ with open(yale_path) as f:
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+ yale_docs = json.load(f)
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+ ```
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+
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+ ## License
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+
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+ This dataset aggregates public domain historical documents. The compilation is released under CC-BY-4.0.
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite the original sources:
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+ - Harvard Law School Nuremberg Trials Project
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+ - Yale Law School Avalon Project
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+ - Wikipedia contributors
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+
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+ ## About
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+
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+ Created to make the historical record of the Nuremberg Trials accessible through AI.
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+ Part of the [Nuremberg Trials AI project](https://huggingface.co/spaces/Adherence/nuremberg-trials-ai).