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

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🧠 Tamil Wikipedia Dataset (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.

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📚 Dataset Overview

• Language: Tamil (ta)
• Source: Wikipedia
• Size: Varies by configuration (tokenized or raw text)
• License: Apache 2.0
• Maintainer: Hemanth-thunder

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✨ Dataset Features

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

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🧹 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).

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🛠️ Usage

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

from datasets import load_dataset

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

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

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📌 Example Entry

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

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📈 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

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🚧 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.

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📄 License

The dataset is derived from Wikipedia and is distributed under the Creative Commons Attribution-Share-Alike 3.0 Unported License (CC BY-SA 3.0).

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👨‍💻 Citation

If you use this dataset, please cite it as:

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

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📬 Contact

If you have questions, suggestions, or issues, feel free to reach out via Hugging Face 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!