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README.md
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By using this dataset, you acknowledge these potential limitations and accept responsibility for its application.
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---
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---
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## Acknowledgments
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By using this dataset, you acknowledge these potential limitations and accept responsibility for its application.
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# Balochi Language Dataset: Data Sources
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The Balochi dataset was developed using diverse and high-quality sources to ensure broad linguistic and contextual coverage. Below is a list of the primary sources utilized in the dataset creation, along with their respective credits:
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## Data Sources
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1. **[GlotSparse](https://huggingface.co/datasets/cis-lmu/GlotSparse)**:
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- A multilingual dataset designed for sparse language modeling. Contains Balochi text extracted from various web sources, contributing valuable monolingual data.
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2. **[GlotCC-V1](https://huggingface.co/datasets/cis-lmu/GlotCC-V1)**:
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- A dataset focused on creating multilingual corpora from Common Crawl. This source provided extensive Balochi text with a wide range of domains.
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3. **[URL-NLP Repository](https://github.com/google-research/url-nlp)**:
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- A collection of linguistic datasets and tools by Google Research. The Balochi-specific data from this repository enhanced the linguistic diversity of the dataset.
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4. **[PanLex Meanings: Balochi](https://huggingface.co/datasets/cointegrated/panlex-meanings/blob/main/data/bal.tsv)**:
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- A curated dataset providing word meanings and semantic pairs in Balochi, supporting vocabulary development and semantic understanding.
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5. **[PanLex Meanings](https://huggingface.co/datasets/cointegrated/panlex-meanings)**:
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- A multilingual dataset of word meanings across languages. The Balochi subset enriched the dataset with valuable translation pairs and lexical entries.
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---
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## Additional Resources and Inspirations
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1. **[The Balochi Language Project (Uppsala University)](https://www.uu.se/en/department/linguistics-and-philology/research/proj/the-balochi-language)**:
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- A research project focusing on the linguistic features, history, and preservation of the Balochi language. It served as a key inspiration for the dataset's design and goals.
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2. **[Balochi Dictionary on Webonary](https://www.webonary.org/balochidictionary/)**:
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- A comprehensive online dictionary for the Balochi language. This resource supported lexical enrichment and linguistic reference.
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3. **[MLOps: Custom Balochi Tokenizer](https://mlops.systems/posts/2023-06-03-training-custom-balochi-tokenizer.html)**:
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- A detailed guide on training a custom tokenizer for Balochi. While not directly used in this dataset, it offers valuable insights that could significantly enhance the basic tokenizer currently employed, providing a pathway for improved tokenization and language model performance in future Balochi projects.
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## Acknowledgments
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We express our gratitude to the creators and maintainers of these datasets and repositories. Their work has been instrumental in building this resource for advancing Balochi language modeling and AI applications.
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If you are the creator of one of these datasets and have specific licensing or attribution requirements, feel free to reach out for further clarification or updates.
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---
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This README solely highlights the sources used in the dataset creation. For a complete overview of the dataset, please refer to the main README document.
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## Licensing
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The dataset is released under the **CC-BY-SA 4.0** license. This means you can use, share, and modify it, provided proper attribution is given.
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