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README.md

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-license: cc0-1.0
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+---
+license: cc0-1.0
+---
+
+# 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.