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@@ -11,7 +11,7 @@ size_categories:
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  - 1K<n<10K
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  ---
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- ### Update Notice:
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  The previous dataset has been deleted in light of more accurate and comprehensive translations being added. This update introduces a better-organized and reliable dataset for the Hmar language, featuring improved translations and formatting.
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@@ -26,18 +26,16 @@ This dataset is part of my ongoing personal project to create a comprehensive da
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  The dataset now includes a structured collection of words from the **dictionary by Dr. John H. Pulamte**, which was scraped from [https://pherzawl-diksawnari.com/](https://pherzawl-diksawnari.com/). No explicit license was found on the source website, and users should be aware that this data may be subject to copyright. The dataset is stored under the directory `Pherzawl-Diksawnari`, with individual CSV files categorizing words by their starting letter.
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- The previous dataset has been deleted in light of more accurate translations, ensuring that the current version provides a better resource for Hmar language documentation and learning.
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  This dataset is intended to expand further with additional dictionaries and resources as part of a larger initiative to document the Hmar language.
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  ---
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-
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  ### Hmar Language
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  Hmar is a Sino-Tibetan language spoken by the Hmar people in northeastern India. It belongs to the Zo subgroup of the Kuki-Chin languages and is closely related to Mizo and Kuki. While not endangered, the language faces challenges in terms of documentation and widespread use, making efforts like this project essential for its preservation.
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  ---
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-
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  ## Dataset Structure
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  - **Directory:** `Pherzawl-Diksawnari/`
@@ -45,7 +43,6 @@ Hmar is a Sino-Tibetan language spoken by the Hmar people in northeastern India.
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  - **File Naming:** Each file corresponds to the first letter of the Hmar word (e.g., `a.csv`, `b.csv`, ..., `z.csv`).
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  ---
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-
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  ### Example File Content
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  | en | hmr |
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  | Mercury | Sikâwlkei |
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  ---
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-
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  ## Dataset Details
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- ### Name: `keikanih/hmar_language_basic_words`
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- This dataset is part of a broader project to create a comprehensive repository for Hmar language resources.
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  ### Sources and Curation
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  - 1K<n<10K
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  ---
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+ ### Update Notice: Dec-11-2024
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  The previous dataset has been deleted in light of more accurate and comprehensive translations being added. This update introduces a better-organized and reliable dataset for the Hmar language, featuring improved translations and formatting.
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  The dataset now includes a structured collection of words from the **dictionary by Dr. John H. Pulamte**, which was scraped from [https://pherzawl-diksawnari.com/](https://pherzawl-diksawnari.com/). No explicit license was found on the source website, and users should be aware that this data may be subject to copyright. The dataset is stored under the directory `Pherzawl-Diksawnari`, with individual CSV files categorizing words by their starting letter.
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+ The previous dataset has been removed in favor of more accurate translations, ensuring that the current version offers an improved resource for documenting and learning the Hmar language.
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  This dataset is intended to expand further with additional dictionaries and resources as part of a larger initiative to document the Hmar language.
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  ---
 
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  ### Hmar Language
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  Hmar is a Sino-Tibetan language spoken by the Hmar people in northeastern India. It belongs to the Zo subgroup of the Kuki-Chin languages and is closely related to Mizo and Kuki. While not endangered, the language faces challenges in terms of documentation and widespread use, making efforts like this project essential for its preservation.
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  ---
 
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  ## Dataset Structure
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  - **Directory:** `Pherzawl-Diksawnari/`
 
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  - **File Naming:** Each file corresponds to the first letter of the Hmar word (e.g., `a.csv`, `b.csv`, ..., `z.csv`).
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  ---
 
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  ### Example File Content
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  | en | hmr |
 
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  | Mercury | Sikâwlkei |
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  ---
 
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  ## Dataset Details
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+ ### Name:`hmar_language_basic_words`
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+ This dataset is part of a broader project to create a comprehensive repository for Hmar language reso
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  ### Sources and Curation
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