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Creative Commons Attribution-NonCommercial 4.0 International Public License (CC BY-NC 4.0) |
Copyright (c) 2026 Samuel & Audrey Media Network |
This dataset and its contents are made available under the Creative Commons Attribution-NonCommercial 4.0 International License. |
You are free to share and adapt the material for non-commercial purposes with appropriate attribution. |
For commercial licensing inquiries, expanded usage rights, or exceptions, please contact: |
nomadicsamuel@gmail.com |
Full legal code: |
https://creativecommons.org/licenses/by-nc/4.0/legalcode |
f884ab5acc3c44d244496ca3be708ee0bb81d627d6b78ba33331abd90b1d7f68 .gitattributes |
ad29e0f88f63b58f57e89588c4bcd420291cd810cfe52d18ce7678544a0a1767 CITATION.cff |
a461f6f580e117cfa82f8cfa87fc834fe7645c27293a0d5cfd881f11867a1889 DATA_DICTIONARY.md |
2cbdc48c2204869175a999956b8be6d3fbf1b0f00397da43c85ee072e7a8f841 LICENSE.txt |
a41f4359be0fcf7c4bc861a4f1a4d800be7adbbccd6111711fff05a6d7273b3d MANIFEST.json |
c346127419a038c85e30b4869dd6bcff0c3019dec6d75cf9b06a442917837a3c README.md |
4aa7f69464ff5f389454e6a0899b5c4b1ee4edea19d016a3665f76b8c6e3af0d SCHEMA.json |
f70ec17624c3e0796011136118c6ddea7f778565f27eca99a103d665f9b4f915 llms-nomadic-samuel-youtube-transcripts-corpus.txt |
5d2f0bcd45ed237169954535efaacb809f3357e4c72fcb6d1ae269f30965734c llms-nomadic-samuel-youtube-transcripts-corpus.txt.gz |
331984727615d714e91f65b53ae6cbd385c607cead783e5b74c1ef2906f71ec3 llms.txt |
c64451b9531adbf5737f81748433bd2b2bf1e8f7b20a9ee0c8510aa9d9076ef7 llms.txt.gz |
a1196f9f45eaf3f4913c8101d16e8a67fca453a47531ca23d89afd3beda4a459 nomadic-samuel-list.csv |
356e90f0ebc4451b5bd08bcfa6bf982249f9e3ee0c481a85be56d618bfb7244f nomadic-samuel-list.csv.gz |
d926eb7e5c7dbf8c5ca1b6ff9b9973f7942afc164be35b2f3d85c0365646d3d5 nomadic-samuel-youtube-transcripts.csv |
86285df8d1b0cbd85a028c1cf2180d8081ad01e0d20e9bbec240667a35797bba nomadic-samuel-youtube-transcripts.csv.gz |
f21074c41b44315fa2defe89f8003865227e5edbecc79ac7e175a4e5406042c5 nomadic-samuel-youtube-transcripts.jsonl |
b572c014b4e8827a345120d16954214e8e0f77b3a4ad33bb6fd327ed7aabd9d6 nomadic-samuel-youtube-transcripts.jsonl.gz |
# Nomadic Samuel YouTube Transcripts Corpus |
# Full Plain-Text Dataset Export |
# |
# Canonical dataset: https://huggingface.co/datasets/samuelandaudreymedianetwork/nomadic-samuel-youtube-transcripts-corpus |
# DOI: https://doi.org/10.5281/zenodo.18665640 |
# YouTube channel: https://youtube.com/@nomadicsamuel |
# Records: 143 |
# License: CC BY-NC 4.0 |
BEGIN_DATASET_JSONL |
{"id":"ef86a45c1a1b5852","content_hash":"d0e8085deb773b46fa9309af59b3b4d750dab4d6","video_id":"rf5Y_kBjSV8","url":"https://www.youtube.com/watch?v=rf5Y_kBjSV8","position":1,"published_at":"2022-07-22T15:15:02Z","video_date":"2022-07-22","title":"Argentine Parrilla feast for lunch in Esquel, Argentina! We ate Bife de Ch... |
{"id":"9a5717d89a3dbdc9","content_hash":"520174e4d077ca8feff67a63ed89ca7b52945090","video_id":"a2r92UE7WII","url":"https://www.youtube.com/watch?v=a2r92UE7WII","position":2,"published_at":"2022-06-24T15:00:00Z","video_date":"2022-06-24","title":"Best Pizza in the World in Buenos Aires, Argentina? Pizza Tour at El Palac... |
{"id":"32118ee970ab7de0","content_hash":"57f973656de08399ecf6fba374dc02d0392831c3","video_id":"p_DEvCkIwoc","url":"https://www.youtube.com/watch?v=p_DEvCkIwoc","position":3,"published_at":"2022-04-29T15:00:22Z","video_date":"2022-04-29","title":"Classic Argentine Breakfast in Buenos Aires, Argentina: Eating Medialuna a... |
Nomadic Samuel YouTube Transcripts Corpus
This dataset contains a curated corpus of full-length English transcript records from the Nomadic Samuel YouTube channel.
The corpus includes 143 video transcript records with cleaned transcript text, original subtitle-style .srt payloads, video metadata, tags, view counts captured at export time, source URLs, and caption timing information where available.
It is intended for non-commercial research, transcript search, retrieval workflows, media archive organization, travel narration analysis, and study of long-form creator-authored video content.
The dataset focuses only on videos where complete transcript material was available at the time of export.
Canonical links
- Hugging Face dataset: https://huggingface.co/datasets/samuelandaudreymedianetwork/nomadic-samuel-youtube-transcripts-corpus
- GitHub repository: https://github.com/samuelandaudreymedianetwork/nomadic-samuel-youtube-transcripts-corpus
- Zenodo DOI: https://doi.org/10.5281/zenodo.18665640
- YouTube channel: https://youtube.com/@nomadicsamuel
Dataset contents
| Record type | Count |
|---|---|
youtube_transcript |
143 |
Snapshot details
| Field | Value |
|---|---|
| Transcript records | 143 |
| Records with titles | 143 |
| Records with URLs | 143 |
| Records with SRT payloads | 143 |
| Records with view counts | 143 |
| Language | English |
| Approximate total transcript words | 521,941 |
| Approximate total transcript characters | 2,610,113 |
What is included
- cleaned continuous transcript text
- original
.srtsubtitle payloads with timing information - YouTube video identifiers and canonical URLs
- video titles and publication metadata
- tags and view counts at export time, where available
- source-channel metadata
- JSONL and CSV formats
- curated video list
- data dictionary, schema, citation file, license file, manifest, checksums, and llms exports
Each JSONL or CSV row represents one video transcript record.
Files
nomadic-samuel-youtube-transcripts.jsonl— canonical structured transcript recordsnomadic-samuel-youtube-transcripts.jsonl.gz— compressed JSONLnomadic-samuel-youtube-transcripts.csv— spreadsheet-friendly exportnomadic-samuel-youtube-transcripts.csv.gz— compressed CSVnomadic-samuel-list.csv— metadata list for the selected videosnomadic-samuel-list.csv.gz— compressed selected-video listDATA_DICTIONARY.md— field definitionsSCHEMA.json— machine-readable schemaCITATION.cff— citation metadataLICENSE.txt— license textMANIFEST.json— package manifestSHA256SUMS.txt— file checksumsllms.txt— short machine-readable dataset guidellms-nomadic-samuel-youtube-transcripts-corpus.txt— full plain-text JSONL export
Potential use cases
This dataset may be useful for:
- searching a curated YouTube transcript archive
- summarizing long-form travel video transcripts
- studying travel narration and creator-authored video language
- extracting destinations, foods, transport references, prices, and logistics
- comparing spoken travel media with written travel articles
- organizing historical video archives
- caption review, subtitle alignment, and transcript analysis
- non-commercial retrieval and question-answering workflows
Limitations
This dataset contains transcript text and metadata, not video files.
The corpus is not a complete archive of every Nomadic Samuel video. It includes records that had complete transcript material available during the export process.
Automatic or manually edited transcripts may contain transcription errors, punctuation issues, spelling variation, filler words, repeated phrases, or timing artifacts. Travel details, prices, transport routes, business information, and destination conditions may have changed since the videos were published.
View counts, video availability, titles, tags, and metadata may change after export.
Notes on cleanup and naming
The public Hugging Face repository uses the stable slug nomadic-samuel-youtube-transcripts-corpus. The canonical data files retain the concise nomadic-samuel-youtube-transcripts basename because it matches the source channel and original corpus identity.
The previous full llms.txt bundle was replaced with a short llms.txt guide plus a separate full export file named llms-nomadic-samuel-youtube-transcripts-corpus.txt.
Invalid Hugging Face task-category metadata from the earlier package was removed.
License
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
For commercial licensing inquiries, expanded usage rights, or partnership questions, contact nomadicsamuel@gmail.com.
Citation
Samuel & Audrey Media Network. (2026). Nomadic Samuel YouTube Transcripts Corpus. Zenodo. https://doi.org/10.5281/zenodo.18665640
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