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license: cc0-1.0
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# Dataset Card for OpenTextVault

## Dataset Details

### Dataset Description

**OpenTextVault** is an open, legally compliant dataset consisting of raw text files (TXT format) and compressed archives containing multilingual, unlabeled textual data.  
The dataset is curated to provide high-quality, diverse textual content suitable for natural language processing tasks, including language model training, fine-tuning, and linguistic research.  
All data included in this dataset are obtained through legal and ethical means, ensuring no copyright infringement.

- **Curated by:**  OpenTextVault
- **Language(s):** Multiple languages (depending on source)  
- **License:** CC0 1.0 Universal (Public Domain)  

### Dataset Sources

- Text content comes from publicly available or otherwise legally distributable sources.  
- Data is provided as plain text files or compressed archives for easy use.

## Uses

### Direct Use

- Pretraining or fine-tuning language models (including large language models).  
- Unsupervised and self-supervised NLP research.  
- Linguistic and stylistic analysis.  

### Out-of-Scope Use

- This dataset is **not** intended for supervised learning tasks requiring labeled data.  
- Users should ensure compliance with any local laws and ethical standards when using this dataset.

## Dataset Structure

- The dataset contains folders of raw text files (.txt) and/or compressed archives (.zip, .tar.gz).  
- Each text file contains plain, unlabeled text data.  
- No additional annotations or metadata are provided.

## Dataset Creation

### Curation Rationale

The dataset was created to provide a free, open resource of raw textual data for NLP practitioners and researchers seeking diverse multilingual text for language model training without copyright concerns.

### Source Data

- Texts were collected from sources verified to be legal and compliant with redistribution policies.  

### Data Collection and Processing

- Data is cleaned to remove corrupted files and obvious non-text content.  
- No manual labeling or annotation was performed.

## Bias, Risks, and Limitations

- Since the dataset is unlabeled and raw, users should be aware of potential biases inherited from the original sources.  
- The dataset may contain unfiltered language reflecting real-world usage, including slang or offensive content.

## Citation

This dataset is released under CC0 1.0 Public Domain License.  
You are **not required** to cite or attribute this dataset in any use or publication.