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metadata
license: cc-by-4.0
task_categories:
  - question-answering
  - text-generation
language:
  - en
tags:
  - nuremberg-trials
  - history
  - law
  - world-war-2
  - international-law
  - war-crimes
size_categories:
  - 100M<n<1B

Nuremberg Trials Complete Dataset

The most comprehensive digital collection of Nuremberg Trials documents available.

Contents

Harvard Law School Transcripts (518MB)

Trial Name Pages
1 Medical Case (Karl Brandt et al.) 11,681
2 Milch Case 3,105
3 Justice Case 11,122
4 Hostages Case 10,549
5 Pohl Case 8,224
6 Einsatzgruppen Case 6,893
7 IMT - Main Trial (Goering et al.) 17,268
8 Flick Case 11,087
9 IG Farben Case 15,628
10 RuSHA Case 5,415
11 Krupp Case 13,447
12 Ministries Case 29,077
13 High Command Case 9,514

Yale Avalon Project (192MB)

  • 857 documents
  • 11.3 million words
  • Includes: Judgments, indictments, London Charter, trial proceedings (22 volumes), Nazi Conspiracy & Aggression documents
  • Source: Yale Law School Avalon Project

Wikipedia (5.5MB)

  • 49 pages of structured data
  • 24 defendant biographies
  • 11 trial overview pages
  • 8 key prosecutors/judges
  • 6 Nazi organization pages

Usage

from datasets import load_dataset

# Load Harvard transcripts
dataset = load_dataset("Adherence/nuremberg-trials-complete", data_dir="harvard_transcripts")

# Load Yale documents
import json
from huggingface_hub import hf_hub_download

yale_path = hf_hub_download(
    repo_id="Adherence/nuremberg-trials-complete",
    filename="yale_avalon/all_documents.json",
    repo_type="dataset"
)
with open(yale_path) as f:
    yale_docs = json.load(f)

License

This dataset aggregates public domain historical documents. The compilation is released under CC-BY-4.0.

Citation

If you use this dataset, please cite the original sources:

  • Harvard Law School Nuremberg Trials Project
  • Yale Law School Avalon Project
  • Wikipedia contributors

About

Created to make the historical record of the Nuremberg Trials accessible through AI. Part of the Nuremberg Trials AI project.