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Datasets:
samuelandaudreymedianetwork
/
nomadic-samuel-article-corpus

Tasks:
Text Generation
Text Retrieval
Question Answering
Modalities:
Text
Formats:
text
Languages:
English
Size:
100K - 1M
Tags:
travel
travel-writing
web-articles
blogging
longform
english
Libraries:
Datasets
License:
Dataset card Data Studio Files
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Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
- NonCommercial — You may not use the material for commercial purposes.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
This is a human-readable summary of (and not a substitute for) the license.
Full legal code: https://creativecommons.org/licenses/by-nc/4.0/legalcode
c08434007fdfbb03418c7dec2afe2f1e76523e3235a6b95d1e331f31f567b066 .gitattributes
0a1192ecdc134ecd0c395c0817048874b6e828100594bfad5402461708cf1835 CITATION.cff
b27208295079e9806373d058894515a1d1977d7bcab385f46fff3eef1e0a941f DATA_DICTIONARY.md
c1b051b41f2493d908d40ff15df90077251ef4ddb5df9df179c5b34d340843a0 LICENSE.txt
492e4f9c5ebd5b328fc79aab0fd3e725fdf04a558c8663404ed4887d623f5815 README.md
76d5eddec2f3932f74c64560e4ecee20f619eaadf70393cc5a69432ed85c934f SCHEMA.json
ea304984e0405e891030b3338e2a6073ce1f5a513c6fa05f5150ceedc3b1ba79 data/nomadic-samuel.csv
258d2acfc36a23aeb48f22dd3992baf608a39120bd7723f9e3d7d7f678740537 data/nomadic-samuel.csv.gz
8a8ae1f70d159c1bb578c483010e58c7486727fb3eaa9d5d7ff61dea6176e409 data/nomadic-samuel.jsonl
f8a8f485bf21c8c5e97172270226f39d12a2fe4972654774d01470aa1fa5068b data/nomadic-samuel.jsonl.gz
LLMS.TXT — Samuel & Audrey Media Network (Nomadic Samuel Web Articles)
Dataset: Nomadic Samuel Web Articles Corpus (EN)
Hugging Face: https://huggingface.co/datasets/samuelandaudreymedianetwork/nomadic-samuel
License: CC BY-NC 4.0 (cc-by-nc-4.0)
Canonical data file: data/nomadic-samuel.jsonl
This llms.txt embeds the complete contents of the accompanying metadata files and the full dataset files (JSONL + CSV) at full fidelity.
Quick index:
- README.md
- DATA_DICTIONARY.md
- SCHEMA.json
- CITATION.cff
- LICENSE.txt
- SHA256SUMS.txt
- data/nomadic-samuel.jsonl
- data/nomadic-samuel.csv
===== BEGIN README.md =====
---
pretty_name: "Nomadic Samuel Web Articles Corpus (EN)"
license: cc-by-nc-4.0
language:
- en
task_categories:
- text-generation
- text-retrieval
size_categories:
- 100K<n<1M
tags:
- travel
- creator-corpus
- web-articles
- blogging
- longform
- english
- provenance
---
# Nomadic Samuel Web Articles Corpus (EN)
A structured corpus of **human-authored travel writing** from **NomadicSamuel.com**, published by the Samuel & Audrey Media Network.
- Records: **422** articles
- Language: **English (`en`)**
- Format: **JSONL** (canonical) + CSV (convenience)
- License: **CC BY-NC 4.0 (cc-by-nc-4.0)**
## What’s inside
- `data/nomadic-samuel.jsonl` — canonical dataset (one JSON object per line)
- `data/nomadic-samuel.jsonl.gz` — gzip compressed JSONL
- `data/nomadic-samuel.csv` — convenience CSV (same fields as JSONL)
- `data/nomadic-samuel.csv.gz` — gzip compressed CSV
- `DATA_DICTIONARY.md` — field-by-field definitions
- `SCHEMA.json` — JSON Schema
- `CITATION.cff` — citation metadata
- `SHA256SUMS.txt` — checksums for integrity verification
- `llms.txt` — machine-ingestion bundle embedding the complete contents of the above files (including the full dataset)
## JSONL record format
Each line in `data/nomadic-samuel.jsonl` is a single article record with fields:
- `id` — stable id (SHA1)
- `source` — dataset source key (`nomadic_samuel`)
- `lang` — language (`en`)
- `domain` — `NomadicSamuel.com`
- `title` — article title
- `text` — full article body (newline characters are preserved as escaped sequences inside JSON)
- `content_hash` — integrity hash (SHA1 of the `text`)
See `DATA_DICTIONARY.md` for the authoritative definitions.
## Loading examples
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Nomadic Samuel Article Corpus EN

DOI ORCID ORCID GitHub License: CC BY-NC 4.0

Dataset Summary

This dataset contains a structured corpus of long-form travel articles published on NomadicSamuel.com by the Samuel & Audrey Media Network.

The corpus includes 422 article records covering global travel, destination guides, overland logistics, food, culture, road trips, itineraries, and practical travel planning. It is intended for non-commercial research, retrieval workflows, text analysis, archive search, travel writing study, and media organization.

The dataset preserves article-level metadata and full text where included, making it useful for studying a long-running independent travel publication.

What’s Inside

  • 422 article records
  • Full article text
  • Article titles
  • Source URLs and domain metadata
  • Stable record identifiers
  • Content hashes for deduplication and integrity checks
  • Language metadata
  • JSONL and CSV formats
  • Data dictionary, schema, citation file, and license file where included

Each JSONL or CSV row represents one full-length article record.

Version Notes

This release organizes selected Nomadic Samuel article records into structured formats for archive review, retrieval, and text analysis.

The corpus is based on published web articles and may include formatting differences, older article versions, historical travel details, and destination information that has changed since publication.

Files

  • data/nomadic-samuel.jsonl — structured article records
  • data/nomadic-samuel.csv — tabular version for review and analysis
  • DATA_DICTIONARY.md — field definitions and schema notes, if included
  • SCHEMA.json — machine-readable schema, if included
  • llms.txt — plain-text bundle for local indexing, search, and archive review, if included
  • CITATION.cff — citation metadata, if included
  • LICENSE.txt — license text, if included

Data Schema Overview

For a complete structural breakdown, refer to DATA_DICTIONARY.md if included.

Common fields may include:

  • id — stable article identifier
  • url — canonical article URL
  • title — article title
  • domain — source domain
  • language — article language
  • text — article body text
  • content_hash — hash value for deduplication and integrity checks
  • published_at — publication date, where available
  • modified_at — modified date, where available
  • tags — associated tags or categories, where available

Potential Use Cases

This dataset may be useful for:

  • searching a long-form travel article archive
  • studying travel writing structure and terminology
  • topic modeling across destinations, regions, and travel styles
  • extracting places, transport references, foods, attractions, and logistics
  • comparing written travel guides with video transcripts
  • organizing historical travel content
  • building non-commercial retrieval tools
  • summarization and article-level text analysis
  • archive inventory and content review

Code Example 

from datasets import load_dataset

ds = load_dataset(
    "samuelandaudreymedianetwork/nomadic-samuel",
    data_files="data/nomadic-samuel.jsonl"
)["train"]

print(ds[0]["title"])
print(ds[0]["text"][:200])
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