Datasets:

Adherence
/

nuremberg-trials-complete

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
trial_id: int64
trial_name: string
total_pages: int64
date_range: struct<first: string, last: string>
dates: list<item: string>
speakers: list<item: string>
vs
seq: int64
page_number: string
date: timestamp[ns]
date_iso: string
text: string
speakers: list<item: string>
trial_id: int64
trial_name: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              trial_id: int64
              trial_name: string
              total_pages: int64
              date_range: struct<first: string, last: string>
              dates: list<item: string>
              speakers: list<item: string>
              vs
              seq: int64
              page_number: string
              date: timestamp[ns]
              date_iso: string
              text: string
              speakers: list<item: string>
              trial_id: int64
              trial_name: string

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Nuremberg Trials Complete Dataset

The most comprehensive digital collection of Nuremberg Trials documents available.

Harvard Law School Transcripts (518MB)

13 trials with complete transcripts
153,010 pages of testimony
Source: Harvard Law School Nuremberg Trials Project

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.

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