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davanstrien/prelinger-archives-open

Prelinger Archives Open License Videos A collection of historical films from the Prelinger Archives on the Internet Archive, filtered to include only videos with open licenses (Public Domain, CC0, CC BY, CC BY-SA). Dataset Description The Prelinger Archives is a collection of over 17,000 advertising, educational, industrial, and amateur films. This dataset contains the subset of videos that are available under open licenses, making them freely usable for research… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/prelinger-archives-open.

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Prelinger Archives Open License Videos

A collection of historical films from the Prelinger Archives on the Internet Archive, filtered to include only videos with open licenses (Public Domain, CC0, CC BY, CC BY-SA).

Dataset Description

The Prelinger Archives is a collection of over 17,000 advertising, educational, industrial, and amateur films. This dataset contains the subset of videos that are available under open licenses, making them freely usable for research, machine learning, and creative projects.

What is Included

  • ~1,900 videos with open licenses
  • Rich metadata including title, description, creator, date, and production details
  • VideoFolder format compatible with Hugging Face datasets library

Source

All videos are sourced from the Prelinger Archives collection on the Internet Archive, curated by Rick Prelinger. The collection focuses on ephemeral films: advertising, educational, industrial, and amateur films that were not intended for theatrical release.

Licenses

This dataset contains videos under the following open licenses:

LicenseDescription
Public DomainNo known copyright restrictions
CC0Creative Commons Zero - No Rights Reserved
CC BYCreative Commons Attribution
CC BY-SACreative Commons Attribution-ShareAlike

Note: Videos with Non-Commercial (NC) restrictions are explicitly excluded from this dataset.

Each video's specific license is recorded in the licenseurl and license_type fields of the metadata.

Dataset Structure

The dataset uses VideoFolder format:

  • data/metadata.jsonl - Video metadata
  • data/*.mp4 - 1,902 video files (~143GB total)

Metadata Fields

FieldDescription
file_nameVideo filename (e.g., video.mp4)
identifierInternet Archive identifier
titleVideo title
descriptionFull description
dateDate string from archive
yearYear (when available)
creatorCreator/producer
licenseurlURL to license
license_typeHuman-readable license type
source_urlLink to Internet Archive page
durationVideo duration
subjectsTopic tags
colorColor or black and white
soundSound or silent
countryCountry of origin
languageLanguage (when specified)
sponsorSponsoring organization
creditsProduction credits
production_dateProduction date
archive_dateDate added to Internet Archive
collectionsArchive.org collections

Usage

Loading with Hugging Face Datasets

Note: Requires torchcodec to decode videos: pip install torchcodec
python
from datasets import load_dataset

# Streaming mode (recommended due to 143GB size)
ds = load_dataset("davanstrien/prelinger-archives-open", split="train", streaming=True)
for sample in ds:
    print(sample["title"])
    print(sample["description"])
    break

Content Types

The Prelinger Archives contains diverse ephemeral films including:

  • Educational films - Classroom and instructional content
  • Industrial films - Corporate training and promotional materials
  • Advertising - Historical commercials and promotional films
  • Amateur films - Home movies and independent productions
  • Government films - Public information and training films
  • Social guidance - Films about manners, health, and social behavior

Considerations

Historical Context

These films were produced primarily between the 1920s and 1980s and reflect the attitudes, language, and social norms of their time. Some content may be considered dated, offensive, or inappropriate by contemporary standards. Researchers should approach this material with appropriate historical context.

Citation

If you use this dataset, please cite:

bibtex
@dataset{prelinger_archives_open,
  title = {Prelinger Archives Open License Videos},
  author = {Daniel van Strien},
  year = {2025},
  url = {https://huggingface.co/datasets/davanstrien/prelinger-archives-open},
  note = {Sourced from the Prelinger Archives on Internet Archive}
}

Please also acknowledge the Prelinger Archives and Internet Archive:

Films courtesy of the Prelinger Archives, hosted by the Internet Archive.

Links