Sensorium Conversational Corpus for Retrieval-Augmented Generation
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# Sensorium Conversational Corpus for Retrieval-Augmented Generation
## Overview
The **Sensorium Conversational Corpus** is a curated multimodal text dataset compiled for use in the *Sensorium ARC* project — an interactive AI agent system for oceanic data exploration and eco-poetic climate communication.
This corpus contains PDF documents drawn from eco-art archives, scientific reports, project frameworks, and transcribed poetic dialogues. It was used as the **primary Retrieval-Augmented Generation (RAG) database** in the experiments and deployments described in *Sensorium ARC: AI Agent System for Oceanic Data Exploration and Interactive Eco-Art*.
The documents represent:
- **Eco-artistic philosophy** from Newton and Helen Mayer Harrison's works
- **Project documentation** and conceptual frameworks
- **Scientific and environmental data** (including NASA datasets)
- **Transcribed poetic dialogues** with the “Ocean” persona
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## File List
- `CFM.pdf` – Center for the Study of the Force Majeure overview
- `CRB Community Resilience Web Project Framework.pdf` – Community Resilience Web project framework
- `Force Majeure Statement.pdf` – Statement document on the Force Majeure concept
- `ForceMajeureBook.pdf` – Major Harrison eco-art project text
- `FromThere.pdf` – Autobiographical retrospective
- `Harrison_Sensorium_InEcopoesisJournal.pdf` – Published article on Sensorium
- `HarrisonsCaliforniaWork.pdf` – Regional eco-art works
- `NASA Data.pdf` – NASA dataset documentation
- `PenEuroCatE.pdf` – Peninsula Europe project materials
- `README.md` – Dataset documentation
- `Sensorium.pdf` – Project conceptual overview
- `The Force Majeure Manifesto Tibet Peninsula Europe the Sierra Nevada and Center statement.pdf` – Comprehensive manifesto document
- `[transcript] Apologia Mediterraneo.pdf` – Transcript of poetic dialogue
- `[transcript] Sensorium for the World Ocean.pdf` – Transcript of poetic dialogue
- `websources.pdf` – Collected web sources
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## Usage
This dataset was used to populate a local **vector database** via sentence-level chunking and embedding with the `all-MiniLM-L12-v2` model, enabling retrieval for a domain-specific conversational AI system.
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## License
**CC BY-NC-ND 4.0** — This dataset may be shared for **non-commercial purposes only**, with attribution, and without modification.
**Additional requirement:** Any use of this dataset (including academic research) must be reported to the author via the contact email provided in the Zenodo record.
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## Citation
If you use this dataset, please cite:
> Lee, Myungin. *Sensorium Conversational Corpus (PDF) for RAG*. Zenodo. DOI: [to be assigned]
BibTeX (update after DOI assigned):
```bibtex
@dataset{lee_sensorium_corpus_2025,
author = {Myungin Lee},
title = {Sensorium Conversational Corpus (PDF) for RAG},
year = {2025},
publisher = {Zenodo},
doi = {10.5281/zenodo.16777214},
url = {https://doi.org/10.5281/zenodo.16777214}
}
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Zenodo创建时间:
2025-08-08



