File size: 3,209 Bytes
8181090 | 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 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 | ---
language:
- en
license: cc-by-sa-4.0
size_categories:
- 10M<n<100M
task_categories:
- text-generation
- fill-mask
pretty_name: Wikipedia English Cleaned
tags:
- wikipedia
- english
- language-modeling
---
# Wikipedia English Cleaned
## Dataset Description
A cleaned English Wikipedia text corpus suitable for language model training. This dataset contains English Wikipedia articles processed and cleaned for use in training small language models.
### Dataset Summary
- **Language**: English
- **Size**: ~133 MB (plain text)
- **Format**: Plain text (.txt)
- **License**: CC-BY-SA 4.0 (Wikipedia content license)
### Source Data
The dataset is derived from English Wikipedia articles, cleaned and formatted for language model training.
## Dataset Structure
### Data Fields
The dataset consists of plain text files containing Wikipedia articles, with one article or paragraph per line.
### Data Splits
This dataset is provided as a single text file without predefined splits. Users can create their own train/validation/test splits as needed.
## Usage
### Loading the Dataset
```python
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("adityasasidhar/Wikipedia_Cleaned")
# Or load directly as text
from datasets import load_dataset
dataset = load_dataset("adityasasidhar/Wikipedia_Cleaned", split="train")
```
### Example Use Case
This dataset was used to train a Small Language Model (SLM) with the following characteristics:
- **Model Size**: 15.58M parameters
- **Architecture**: Decoder-only Transformer
- **Training**: Combined with TinyStories dataset for ~100M tokens total
## Dataset Creation
### Curation Rationale
This dataset was created to provide clean, factual English text for training small language models. Wikipedia provides high-quality, encyclopedic content that helps models learn proper grammar, factual knowledge, and formal writing style.
### Source Data
- **Source**: English Wikipedia
- **Processing**: Cleaned and formatted for language model training
- **Quality**: High-quality encyclopedic content
## Considerations for Using the Data
### Social Impact
This dataset contains factual, encyclopedic content from Wikipedia. Users should be aware that:
- Wikipedia content reflects the biases and perspectives of its editors
- The dataset is suitable for general language modeling tasks
- For specific domains, additional fine-tuning may be necessary
### Limitations
- The dataset represents a snapshot of Wikipedia at a specific point in time
- May not include the most recent information
- Content is limited to English language articles
## Additional Information
### Licensing Information
The dataset is released under the **CC-BY-SA 4.0** license, consistent with Wikipedia's content license.
### Citation Information
If you use this dataset, please cite:
```bibtex
@misc{wikipedia_cleaned_2026,
author = {Aditya Sasidhar},
title = {Wikipedia English Cleaned},
year = {2026},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/adityasasidhar/Wikipedia_Cleaned}}
}
```
### Contributions
Dataset curated and uploaded by [Aditya Sasidhar](https://github.com/adityasasidhar).
|