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@@ -20,26 +20,34 @@ tags:
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  - embeddings
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  - remeinium
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  pretty_name: Cleaned Sinhala Text Corpus
 
 
 
 
 
 
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  ---
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  # 📚 Cleaned Sinhala Text Corpus
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- The **Cleaned Sinhala Text Corpus** is a large-scale, high-quality Sinhala text dataset prepared and released by **Remeinium Corp**.
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- This dataset contains **20GB** of Sinhala-only text (20 × 1GB `.gz` files when uncompressed), carefully cleaned and tokenized.
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  It is designed for **language modeling, embeddings, and NLP research**.
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  ---
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  ## ✨ Key Features
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- - **Language**: Sinhala (si)
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- - **Size**: ~20GB uncompressed (20 × 1GB files)
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- - **Format**: Plain text (`.gz` compressed), one sentence per line
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- - **Cleaning**:
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- - Removed all non-Sinhala characters
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- - No punctuation, numbers, or symbols
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- - Deduplicated and normalized
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- - **Tokenization**: Pre-tokenized with consistent whitespace separation
 
 
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  ---
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@@ -52,3 +60,47 @@ from datasets import load_dataset
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  dataset = load_dataset("Remeinium/Cleaned_Sinhala_Text")
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  print(dataset["train"][0])
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - embeddings
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  - remeinium
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  pretty_name: Cleaned Sinhala Text Corpus
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+ task_categories:
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+ - text-generation
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+ - embedding
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+ - unsupervised-learning
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+ size_categories:
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+ - 10M<n<100M
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  ---
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  # 📚 Cleaned Sinhala Text Corpus
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+ The **Cleaned Sinhala Text Corpus** is a large-scale, high-quality Sinhala text dataset prepared and released by **Remeinium**.
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+ This dataset contains **20GB** of Sinhala-only text (20 × 1GB `.gz` files when uncompressed), carefully cleaned and tokenized.
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  It is designed for **language modeling, embeddings, and NLP research**.
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  ---
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  ## ✨ Key Features
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+
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+ * **Language**: Sinhala (si)
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+ * **Size**: \~20GB uncompressed (20 × 1GB files)
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+ * **Format**: Plain text (`.gz` compressed), one sentence per line
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+ * **Cleaning**:
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+
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+ * Removed all non-Sinhala characters
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+ * No punctuation, numbers, or symbols
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+ * Deduplicated and normalized
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+ * **Tokenization**: Pre-tokenized with consistent whitespace separation
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  ---
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  dataset = load_dataset("Remeinium/Cleaned_Sinhala_Text")
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  print(dataset["train"][0])
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+ ```
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+
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+ Or download individual `.gz` files directly from the repo.
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+
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+ ---
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+
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+ ## 📂 Source & Processing
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+
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+ * This dataset is a **curated blend** of multiple publicly available Sinhala text corpora (\~90%).
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+ * Combined, normalized, and filtered down to **only Sinhala letters** for maximum cleanliness.
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+ * Randomly sampled from a larger **283GB raw Sinhala dataset**.
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+
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+ ⚠️ **Note**: This is **not an original dataset**. It is a cleaned and prepared derivative for easier NLP use.
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+
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+ ---
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+
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+ ## 🗜️ License
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+
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+ MIT
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+
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+ ---
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+
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+ ## ⚠️ Limitations
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+ * Contains **only Sinhala** (no multilingual support).
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+ * Cleaning removed punctuation and numerics — not suitable for tasks that require them.
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+ * Not exhaustive; represents only a portion of available Sinhala text data.
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+ ---
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+
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+ ## 🤝 Collaboration
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+
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+ We welcome:
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+ * Benchmarking and performance reports
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+ * Downstream tasks (embedding, classification, translation)
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+ * Community contributions for expanding and improving
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+
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+ Contact us:
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+ 📧 [support@remeinium.com](mailto:support@remeinium.com)
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+
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+ ---
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+
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+ **Remeinium AI** — *Intelligence for a Greater Tomorrow* 🌍