README.md

---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: url
    dtype: string
  - name: title
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 810734099
    num_examples: 160651
  download_size: 265394551
  dataset_size: 810734099
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: apache-2.0
task_categories:
- text-classification
- question-answering
- summarization
- text2text-generation
language:
- ta
pretty_name: Tamil Wikipedia
size_categories:
- 100K<n<1M




---
Here’s a detailed `README.md` (Model Card / Dataset Card) for your Tamil Wikipedia dataset on Hugging Face, formatted in Markdown:

---

# 🧠 Tamil Wikipedia Dataset (`tawiki`)

[![Hugging Face](https://img.shields.io/badge/dataset-huggingface-blue)](https://huggingface.co/datasets/Hemanth-thunder/tawiki)

The **Tamil Wikipedia (`tawiki`)** dataset is a cleaned and preprocessed dump of the Tamil language Wikipedia, curated for use in Natural Language Processing (NLP) tasks such as language modeling, summarization, machine translation, and question answering.

---

## 📚 Dataset Overview

* **Language**: Tamil (`ta`)
* **Source**: [Wikipedia](https://ta.wikipedia.org)
* **Size**: Varies by configuration (tokenized or raw text)
* **License**: Apache 2.0
* **Maintainer**: [Hemanth-thunder](https://huggingface.co/Hemanth-thunder)
 

---

## ✨ Dataset Features

| Feature | Description                       |
| ------- | --------------------------------- |
| `id`    | Unique identifier for the article |
| `title` | Title of the Wikipedia page       |
| `text`  | Full cleaned text of the article  |

---

## 🧹 Preprocessing Steps

* Extracted using a Wikipedia XML dump.
* Removed MediaWiki markup, references, templates, and tables.
* Removed stub or extremely short articles.
* Unicode normalization (UTF-8).
* Optional: Sentence segmentation (if applied).

---

## 🛠️ Usage

You can load this dataset using the Hugging Face `datasets` library:

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("Hemanth-thunder/tawiki")

# Access a sample
print(dataset["train"][0])
```

---

## 📌 Example Entry

```json
{
  "id": "12345",
  "title": "தமிழ் இலக்கியம்",
  "text": "தமிழ் இலக்கியம் என்பது தமிழ் மொழியில் எழுதப்பட்ட ..."
}
```

---

## 📈 Potential Use Cases

* ✅ Language Modeling (e.g., training Tamil LLMs)
* ✅ Named Entity Recognition (NER)
* ✅ Summarization
* ✅ Translation (e.g., Tamil ↔ English)
* ✅ Question Answering and Knowledge Graph extraction

---

## 🚧 Limitations

* May still contain minor residual formatting.
* Biased toward topics commonly represented in Wikipedia.
* Not suitable for real-time or critical decision-making without further validation.

---

## 📄 License

The dataset is derived from [Wikipedia](https://ta.wikipedia.org) and is distributed under the [Creative Commons Attribution-Share-Alike 3.0 Unported License (CC BY-SA 3.0)](https://creativecommons.org/licenses/by-sa/3.0/).

---

## 👨‍💻 Citation

If you use this dataset, please cite it as:

```bibtex
@misc{tawiki2025,
  title = {Tamil Wikipedia Dataset},
  year = {2024}
}
```

---

## 📬 Contact

If you have questions, suggestions, or issues, feel free to reach out via [Hugging Face](https://huggingface.co/Hemanth-thunder) or email.

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Let me know if you want this converted to a `dataset_card.json` or need help analyzing token counts, vocab size, or stats!