Update README.md

README.md

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----
-license: mit
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 141038347
-    num_examples: 826715
-  download_size: 82296094
-  dataset_size: 141038347
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+---
+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).