DatarrX/myX-Burmese-Synthetic-Pseudo-Syllables

📝 Burmese Synthetic Pseudo-Syllables Dataset

This dataset contains 5,814,699 computer-generated (synthetic) Myanmar pseudo-syllables structured systematically based on specific complex linguistic and orthographic patterns.

Developed as part of the foundational research for low-resource language processing, this dataset serves as a rigorous baseline and stress-testing environment for Burmese Natural Language Processing (NLP), tokenization, font rendering, and spell-checking systems.

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🎯 Project Purpose & Core Intent

In Burmese script, characters stack vertically and attach horizontally via complex graphemic combinations (consonants, medials, vowels, and diacritics). Building smart text tools requires mapping out not just the common words, but the boundaries of what is physically possible to construct in the writing system.

This dataset aims to enrich the Myanmar NLP ecosystem by providing a massive, mathematically exhaustive collection of potential syllable patterns. It helps fill the gap between high-resource and low-resource languages by providing clean, foundational building blocks for modern AI innovation.

⚠️ CRITICAL USAGE NOTE FOR DEVELOPERS & RESEARCHERS: Because this dataset was generated programmatically to cover combinatoric possibilities, it contains syllables that do not exist in standard Burmese dictionaries, patterns not utilized in daily communication, and archaic or non-existent linguistic strings.

Do not use this dataset blindly to train language models (LLMs) for standard text generation, as it will introduce hallucinated, non-existent words (Model Poisoning). Instead, utilize this dataset for negative sampling, edge-case font rendering tests, stress-testing syllable segmenters, and training spell-checkers to recognize boundaries.

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🛠️ Dataset Generation Methodology

The dataset was constructed through a combinatorial pipeline based on the structure of the Burmese alphabet:

1. Pattern Definition: Over 267 baseline structural patterns were defined using the placeholder character "အ" (Asat-carrier/Vowel support character) combined with various medials, vowels, and diacritics.
2. Exhaustive Substitution: For every pattern, the placeholder "အ" was systematically replaced with all 33 core Burmese consonants (က to အ).
3. Combinatorial Expansion: This mathematical substitution allows the dataset to map out every valid, fringe, and structurally extreme grapheme stack possible within the script rules.

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📊 Dataset Statistics & Structure

• Total Generated Rows: 5,814,699
• Total Unique Structural Patterns: 267

Pattern Summary Table

ID	Pattern Structure	Total Rows
ID-1	င်္အ္အ	1,089
ID-2	အ	33
ID-3	အင်္အ	1,089
ID-4	အင်္အါ	1,089
ID-5	အင်္အါး	1,089
ID-6	အင်္အာ	1,089
ID-7	အင်္အိ	1,089
ID-8	အင်္အိုက်	1,089
ID-9	အင်္အိုင့်	1,089
ID-10	အင်္အိုင်	1,089
ID-11	အင်္အိ့	1,089
ID-12	အင်္အု	1,089
ID-13	အင်္အု့	1,089
ID-14	အင်္အေ	1,089
ID-15	အင်္အော	1,089
ID-16	အင်္အော်	1,089
ID-17	အင်္အေး	1,089
ID-18	အင်္အံ	1,089
ID-19	အင်္အ္အ	35,937
ID-20	အင်္အျ	1,089
ID-21	အင်္အြ	1,089
ID-22	အဉ္အ	1,089
ID-23	အဉ္အအ်	35,937
ID-24	အဉ္အအ်း	35,937
ID-25	အဉ္အူး	1,089
ID-26	အဉ်	33
ID-27	အအ့်	1,089
ID-28	အအ္အ	35,937
ID-29	အအ္အအာ	1,185,921
ID-30	အအ္အအ်	1,185,921
ID-31	အအ္အာ	35,937
ID-32	အအ္အိုအ်	1,185,921
ID-33	အအ္အီ	35,937
ID-34	အအ္အီာ	35,937
ID-35	အအ္အူ	35,937
ID-36	အအ္အံ့	35,937
ID-37	အအ္အး	35,937
ID-38	အအ္အျ	35,937
ID-39	အအ္အျာ	35,937
ID-40	အအ္အြ	35,937
ID-41	အအ္အြာ	35,937
ID-42	အအ်	1,089
ID-43	အအ်း	1,089
ID-44	အအြူ	1,089
ID-45	အဥ်	33
ID-46	အာ	33
ID-47	အာအ္အ	35,937
ID-48	အာအ်	1,089
ID-49	အာ့	33
ID-50	အား	33
ID-51	အားအ်	1,089
ID-52	အိ	33
ID-53	အိအ္အ	35,937
ID-54	အိအ်း	1,089
ID-55	အို	33
ID-56	အိုက်	33
ID-57	အိုအ္အိအ်	1,185,921
ID-58	အိုအ်	1,089
ID-59	အိုာအ်	1,089
ID-60	အို့	33
ID-61	အိုး	33
ID-62	အိဲ	33
ID-63	အိံ	33
ID-64	အီ	33
ID-65	အီအ်	1,089
ID-66	အီူး	33
ID-67	အု	33
ID-68	အုအ္အ	35,937
ID-69	အုအ္အူ	35,937
ID-70	အုအ်	1,089
ID-71	အုအ်း	1,089
ID-72	အုဲအ်	1,089
ID-73	အုံအ်	1,089
ID-74	အူ	33
ID-75	အူး	33
ID-76	အေ	33
ID-77	အေင်္အ	1,089
ID-78	အေင်္အ္အ	35,937
ID-79	အေအ္အ	35,937
ID-80	အေအ္အာ	35,937
ID-81	အေအ်	1,089
ID-82	အော	33
ID-83	အောင်	33
ID-84	အောအ့်	1,089
ID-85	အောအ္အ	35,937
ID-86	အောအ်	1,089
ID-87	အောအ်း	1,089
ID-88	အော့	33
ID-89	အော့အ်	1,089
ID-90	အော့်	33
ID-91	အော်	33
ID-92	အေိာ	33
ID-93	အေ့	33
ID-94	အေ့အ်	1,089
ID-95	အေး	33
ID-96	အဲ	33
ID-97	အဲား	33
ID-98	အဲ့	33
ID-99	အဲး	33
ID-100	အံ	33
ID-101	အံအ်း	1,089
ID-102	အံား	33
ID-103	အံဲ	33
ID-104	အံ့	33
ID-105	အ့	33
ID-106	အ္အအ်း	35,937
ID-107	အ္အါ	1,089
ID-108	အ္အါ့	1,089
ID-109	အ္အါး	1,089
ID-110	အ္အိ	1,089
ID-111	အ္အိတ်	1,089
ID-112	အ္အိပ်	1,089
ID-113	အ္အိမ့်	1,089
ID-114	အ္အိမ်း	1,089
ID-115	အ္အို	1,089
ID-116	အ္အိုင့်	1,089
ID-117	အ္အိုင်	1,089
ID-118	အ္အိုင်း	1,089
ID-119	အ္အို့	1,089
ID-120	အ္အိုး	1,089
ID-121	အ္အိ့	1,089
ID-122	အ္အု	1,089
ID-123	အ္အုတ်	1,089
ID-124	အ္အုပ်	1,089
ID-125	အ္အုမ့်	1,089
ID-126	အ္အုမ်း	1,089
ID-127	အ္အု့	1,089
ID-128	အ္အေ	1,089
ID-129	အ္အောင့်	1,089
ID-130	အ္အော့	1,089
ID-131	အ္အော့်	1,089
ID-132	အ္အော်	1,089
ID-133	အ္အေ့	1,089
ID-134	အ္အဲ	1,089
ID-135	အ္အဲ့	1,089
ID-136	အ္အံ	1,089
ID-137	အ္အျ	1,089
ID-138	အ္အျင်	1,089
ID-139	အ္အျတ်	1,089
ID-140	အ္အျာ	1,089
ID-141	အ္အျာ့	1,089
ID-142	အ္အျား	1,089
ID-143	အ္အျော	1,089
ID-144	အ္အျော့်	1,089
ID-145	အ္အြ	1,089
ID-146	အ္အြင်	1,089
ID-147	အ္အြတ်	1,089
ID-148	အ္အြာ	1,089
ID-149	အ္အြာ့	1,089
ID-150	အ္အြား	1,089
ID-151	အ္အြူ	1,089
ID-152	အ္အြော	1,089
ID-153	အ္အြော့်	1,089
ID-154	အ္အွတ်	1,089
ID-155	အ္အွန်း	1,089
ID-156	အ္အှ	1,089
ID-157	အ္အှု	1,089
ID-158	အျ	33
ID-159	အျအ္အ	35,937
ID-160	အျအ်	1,089
ID-161	အျအ်း	1,089
ID-162	အျာ	33
ID-163	အျာ့	33
ID-164	အျား	33
ID-165	အျိ	33
ID-166	အျိအ်	1,089
ID-167	အျို့	33
ID-168	အျိုး	33
ID-169	အျီး	33
ID-170	အျူ	33
ID-171	အျော	33
ID-172	အျောအ်	1,089
ID-173	အျော့	33
ID-174	အျော့်	33
ID-175	အျော်	33
ID-176	အျော်အ်	1,089
ID-177	အျေး	33
ID-178	အျံ	33
ID-179	အျွှ	33
ID-180	အျွှင့်	33
ID-181	အျွှင်း	33
ID-182	အျွှာ	33
ID-183	အျွှာ့	33
ID-184	အျွှာ်	33
ID-185	အျွှာ်း	33
ID-186	အျွှေ	33
ID-187	အျှာ်း	33
ID-188	အျှု	33
ID-189	အျှု့	33
ID-190	အျှော	33
ID-191	အျှော့်	33
ID-192	အျှော်	33
ID-193	အြ	33
ID-194	အြအ္အ	35,937
ID-195	အြအ္အာ	35,937
ID-196	အြအ်	1,089
ID-197	အြအ်း	1,089
ID-198	အြာ	33
ID-199	အြာ့	33
ID-200	အြား	33
ID-201	အြိ	33
ID-202	အြိာ	33
ID-203	အြို့	33
ID-204	အြိုး	33
ID-205	အြိ့	33
ID-206	အြီအ်	1,089
ID-207	အြီး	33
ID-208	အြူ	33
ID-209	အြော	33
ID-210	အြောအ်	1,089
ID-211	အြော့	33
ID-212	အြော့်	33
ID-213	အြော်	33
ID-214	အြော်အ်	1,089
ID-215	အြေး	33
ID-216	အြံ	33
ID-217	အြံး	33
ID-218	အြွိုအ်	1,089
ID-219	အြွး	33
ID-220	အြွှ	33
ID-221	အြွှင့်	33
ID-222	အြွှင်း	33
ID-223	အြွှာ	33
ID-224	အြွှာ့	33
ID-225	အြွှာ်	33
ID-226	အြွှာ်း	33
ID-227	အြွှေ	33
ID-228	အြှာ်း	33
ID-229	အြှု	33
ID-230	အြှုူ	33
ID-231	အြှု့	33
ID-232	အြှော့်	33
ID-233	အြှော်	33
ID-234	အွအ့်	1,089
ID-235	အွအ်	1,089
ID-236	အွအ်း	1,089
ID-237	အွိအ့်	1,089
ID-238	အွိုင့်	33
ID-239	အွီအ်	1,089
ID-240	အွေ	33
ID-241	အွော်	33
ID-242	အွေ့	33
ID-243	အွေး	33
ID-244	အွံအ်	1,089
ID-245	အွ့	33
ID-246	အွး	33
ID-247	အွှ	33
ID-248	အွှအ်	1,089
ID-249	အွှာ	33
ID-250	အွှီုင်း	33
ID-251	အွှုအ်	1,089
ID-252	အွှေ	33
ID-253	အွှေ့	33
ID-254	အွှေး	33
ID-255	အှ	33
ID-256	အှအ်	1,089
ID-257	အှအ်း	1,089
ID-258	အှိအ်	1,089
ID-259	အှိုအ်း	1,089
ID-260	အှိူး	33
ID-261	အှုအ်	1,089
ID-262	အှုအ်း	1,089
ID-263	အှူ	33
ID-264	အှေအ်	1,089
ID-265	အှောအ်	1,089
ID-266	ဣအ္အ	1,089
ID-267	ဧအာ	33

Total Generated Rows: 5,814,699

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💡 Practical Applications (How to Use This Data)

1. Syllable Segmentation & Tokenization

Burmese is written without explicit word spaces. Tokenizers and segmenters (like dictionary-based or neural models) struggle with rare character stacks or stacked consonants. This dataset provides a robust environment to evaluate if your segmenter cleanly identifies syllable boundaries under extreme conditions.

2. Font Testing & Text Rendering Engines

Burmese Unicode rendering often breaks (causing overlapping characters or broken dotted circles) when encountering complex or rare stacking sequences. Rendering engines can use these 5.8 million variations to spot layout bugs automatically before shipping updates to users.

3. Spell-Checkers & Grammatical Guards

By treating these pseudo-syllables as "theoretically possible but dictionary-absent" entities, developers can build more robust spell-checking systems that isolate typographical errors from actual structural script violations.

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⚖️ License & Open-Source Terms

This dataset is released under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.

Under this license, you are free to:

• Share: Copy and redistribute the material in any medium or format.
• Adapt: Remix, transform, and build upon the material for any purpose, even commercially.

Under the following terms:

• Attribution: You must give appropriate credit to the original creator, provide a link to the license, and indicate if changes were made.
• ShareAlike: If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

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📜 Citation & Academic Reference

If you incorporate the myX-Burmese-Synthetic-Pseudo-Syllables dataset into your academic research, linguistic studies, tokenizer benchmarks, or font rendering validation pipelines, please acknowledge the author and publisher via the following official BibTeX citation:

@misc{datarrx_burmese_synthetic_pseudosyllables_2026,
  author       = {Khant Sint Heinn},
  title        = {myX-Burmese-Synthetic-Pseudo-Syllables: An Exhaustive Computer-Generated Dataset of Myanmar Graphemic Patterns for NLP and Font-Rendering Evaluation},
  year         = {2026},
  publisher    = {Hugging Face},
  organization = {DatarrX},
  howpublished = {https://huggingface.co/datasets/DatarrX/myX-Burmese-Synthetic-Pseudo-Syllables},
  note         = {Published under DatarrX. Open-source community asset released under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)}
}

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🧑‍💻 About the Author & Curator

Khant Sint Heinn (Burmese: ခန့်ဆင့်ဟိဏ်း), working under the professional moniker Kalix Louis, is a Machine Learning Engineer specialized in Natural Language Processing (NLP), data foundations, and open-source AI infrastructure. His primary engineering focus centers on elevating low-resource languages—specifically Burmese (Myanmar)—into data-rich assets capable of powering next-generation language models and scalable linguistic tools.

Currently serving as the Lead Developer at DatarrX, Khant Sint Heinn architects robust data pipelines, manages large-scale dataset curations, and builds the open-source building blocks necessary for accessible machine learning applications.

Connect with the Author:

• GitHub
• Hugging Face
• Kaggle

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🏛️ Hosted by DatarrX

This dataset is proud to be maintained and distributed by DatarrX (Burmese: ဒေတာ-အက်စ်), a non-profit open-source foundation dedicated to building a robust digital and data foundation for the Burmese language in the AI era.

Rooting Burmese into AI.