File size: 2,542 Bytes
5b4eb33 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | ---
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. |