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You are free to: |
- Share — copy and redistribute the material in any medium or format |
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- 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 |
5dae34c4a44abe74677ec287b3ac4dbeab34134692405ef627207dff4a53a7e8 .gitattributes |
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c1b051b41f2493d908d40ff15df90077251ef4ddb5df9df179c5b34d340843a0 LICENSE.txt |
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a6a63846d016332ccdd3c4d14b94ab97fa306bef2e482f7ec02e9fc90e13de7b SCHEMA.json |
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LLMS.TXT — Samuel & Audrey Media Network (Full-Fidelity Package) |
Dataset: That Backpacker (Articles, EN) |
Hugging Face: https://huggingface.co/datasets/samuelandaudreymedianetwork/that-backpacker |
License: CC BY-NC 4.0 (cc-by-nc-4.0) |
Primary format: JSONL (canonical). Language: en. |
This llms.txt embeds the complete contents of: |
- metadata files (README, schema, data dictionary, citation, license, checksums) |
- full master data files (JSONL + CSV) |
Quick index: |
- README.md |
- DATA_DICTIONARY.md |
- SCHEMA.json |
- CITATION.cff |
- LICENSE.txt |
- SHA256SUMS.txt |
- that-backpacker.jsonl |
- that-backpacker.csv |
===== BEGIN README.md ===== |
--- |
pretty_name: "That Backpacker (Articles, EN)" |
license: cc-by-nc-4.0 |
language: |
- en |
task_categories: |
- text-generation |
- question-answering |
- summarization |
size_categories: |
- 10K<n<100K |
tags: |
- travel |
- tourism |
- travel-guides |
- itineraries |
- city-guides |
- hiking |
- food |
- culture |
- creator-corpus |
--- |
# That Backpacker (Articles, EN) |
A dataset of long-form travel articles from **That Backpacker** (Samuel & Audrey Media Network). Content focuses on destination guides, itineraries, practical logistics, food, culture, and on-the-ground travel experiences. |
## What’s inside |
- **323** article records |
- Formats: |
- `that-backpacker.jsonl` (canonical) |
- `that-backpacker.jsonl.gz` |
- `that-backpacker.csv` (same fields as JSONL; one row per record) |
- `that-backpacker.csv.gz` |
## Record fields (typical) |
Common fields include: |
- `id` — stable identifier |
- `title` — article title |
- `text` — full article text |
- `lang` — `en` |
- `domain` — source domain |
- `source` — dataset slug (`that-backpacker`) |
- `content_hash` — integrity/dedupe hash of the text |
See `DATA_DICTIONARY.md` and `SCHEMA.json` for full details. |
## Loading examples |
### Python (datasets) |
```python |
from datasets import load_dataset |
End of preview. Expand in Data Studio
🎒 That Backpacker Travel Article Corpus
📌 Dataset Summary
This dataset contains a structured archive of long-form travel articles published on ThatBackpacker.com, authored primarily by Audrey Bergner as part of the Samuel & Audrey Media Network.
The corpus includes articles on destination guides, multi-day itineraries, hiking, food travel, cultural experiences, city guides, transportation, accommodations, and practical travel planning. It is intended for research, retrieval, NLP analysis, semantic search, and non-commercial experimentation with long-form travel writing.
What’s Inside
- 323 article records
- Full article text
- Article titles
- Source domain
- Language metadata
- Stable record identifiers
- Content hashes for deduplication and integrity checks
- JSONL and CSV formats
- Data dictionary, schema, citation file, and license file
Each JSONL or CSV row represents one article record.
🛠️ Potential Use Cases
- Retrieval-Augmented Generation: Search and retrieval over a long-form travel article archive.
- Semantic Search: Build search indexes across destinations, itineraries, hiking routes, food travel, and cultural topics.
- NLP Analysis: Study travel writing structure, destination terminology, topic clusters, and practical guide formatting.
- Named Entity Extraction: Extract places, restaurants, accommodations, attractions, transport options, regions, and travel concepts.
- Classification and Clustering: Group articles by destination, article type, trip length, travel style, or activity.
- Bilingual or Cross-Site Research: Compare this English-language travel corpus with related Samuel & Audrey Media Network datasets.
- Non-Commercial Model Evaluation: Use creator-authored travel text for evaluation, experimentation, and research workflows.
📂 Files
that-backpacker.jsonl— canonical dataset formatthat-backpacker.jsonl.gz— compressed JSONLthat-backpacker.csv— CSV convenience formatthat-backpacker.csv.gz— compressed CSVDATA_DICTIONARY.md— field definitionsSCHEMA.json— machine-readable schemaCITATION.cff— citation metadataLICENSE.txt— license textllms.txt— bundled text package for local indexing and retrieval workflows
📜 License & Commercial Use
License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
This dataset may be used for non-commercial research, education, analysis, open-source experimentation, and non-commercial model training, subject to the license terms.
For commercial licensing, bulk usage, or partnership inquiries, contact:
🎓 Citation / Attribution
If you use this corpus in research, retrieval systems, NLP experiments, or other public work, please cite the dataset:
Samuel & Audrey Media Network. (2026). That Backpacker Travel Article Corpus. Zenodo. https://doi.org/10.5281/zenodo.18665606
@dataset{that_backpacker_2026,
title={That Backpacker Travel Article Corpus},
author={Bergner, Audrey and Jeffery, Samuel},
year={2026},
publisher={Zenodo},
doi={10.5281/zenodo.18665606},
url={https://github.com/samuelandaudreymedianetwork/that-backpacker},
note={License: CC BY-NC 4.0}
}
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