|
|
--- |
|
|
license: mit |
|
|
task_categories: |
|
|
- text-generation |
|
|
- text-classification |
|
|
language: |
|
|
- my |
|
|
tags: |
|
|
- MyanmarSentences |
|
|
- Burmese |
|
|
- BurmeseSentences |
|
|
--- |
|
|
|
|
|
# 🧠 1_pattern_10Kplus_myanmar_sentences |
|
|
|
|
|
A structured dataset of **11,452 Myanmar sentences** generated from a single, powerful grammar pattern: |
|
|
|
|
|
### 📌 Pattern: |
|
|
**`Verb လည်း Verb တယ်။`** |
|
|
> A natural way to express repetition, emphasis, or causal connection in Myanmar. |
|
|
|
|
|
--- |
|
|
|
|
|
## 💡 About the Dataset |
|
|
|
|
|
This dataset demonstrates how applying just **one syntactic pattern** to a curated verb list — combined with syllable-aware rules — can produce a high-quality corpus of over **10,000 valid Myanmar sentences**. |
|
|
|
|
|
Each sentence is: |
|
|
- Grammatically valid |
|
|
- Syllable-tokenized |
|
|
- Pattern-consistent |
|
|
- Cleaned and filtered |
|
|
|
|
|
--- |
|
|
|
|
|
## 🔁 Pattern in Use |
|
|
|
|
|
Examples: |
|
|
- ချစ်လည်း ချစ်တယ်။ |
|
|
- ကစားလည်း ကစားတယ်။ |
|
|
- ကံကြီးလည်း ထိုက်တယ်။ |
|
|
- ခေါင်းချင်းဆိုင်လည်း တိုက်တယ်။ |
|
|
|
|
|
--- |
|
|
|
|
|
## 📏 Rules in Use |
|
|
|
|
|
| Syllable Count | Rule Name | Sentence Format | # of Sentences Generated | |
|
|
|----------------|-------------------|---------------------------------------------|---------------------------| |
|
|
| 1 | Rule_1_Syllable | `Aလည်း Aတယ်။` | 1 | |
|
|
| 2 | Rule_2_Syllable | `Aလည်း Bတယ်။` and `Aလည်း ABတယ်။` | 2 (dual sentences) | |
|
|
| 3 | Rule_3_Syllable | `ABလည်း Cတယ်။` | 1 | |
|
|
| 4 | Rule_4_Syllable | `ABCလည်း Dတယ်။` | 1 | |
|
|
| 5+ | Rule_{N}_Syllable | `ABCD...လည်း Zတယ်။` | 1 per item | |
|
|
|
|
|
--- |
|
|
|
|
|
## 📁 Dataset Format |
|
|
|
|
|
Each row in the CSV contains: |
|
|
|
|
|
| Column | Description | |
|
|
|------------------|--------------------------------------------------| |
|
|
| `my_sentence` | The full generated Myanmar sentence | |
|
|
| `my_word` | The original verb the sentence is based on | |
|
|
| `my_subword` | List of syllable-level tokens (as a string list) | |
|
|
| `subword_number` | Number of syllables in `my_word` | |
|
|
|
|
|
**Example:** |
|
|
|
|
|
```text |
|
|
my_sentence: ကလည်း ကတယ်။ |
|
|
my_word: က |
|
|
my_subword: ["က"] |
|
|
subword_number: 1 |
|
|
``` |
|
|
## 🤯 Why It’s Special |
|
|
``` |
|
|
• ✅ Only one pattern → yet over 11,000 real Myanmar sentences |
|
|
• ✅ Rule logic scales across syllable complexity |
|
|
• ✅ Cleaned, structured, and easy to extend |
|
|
• ✅ Represents real grammar, not artificial templates |
|
|
``` |
|
|
--- |
|
|
|
|
|
## 😅 Problems We Faced |
|
|
|
|
|
We started with a large list of Myanmar verbs and applied a syllable-level tokenizer to break each verb into structured chunks. Based on syllable count, we applied one of six rules to generate sentences. |
|
|
|
|
|
Challenges included: |
|
|
``` |
|
|
• Unicode inconsistencies (e.g., ဥ် vs ဉ်, န့် vs န့်) |
|
|
• Visually similar characters causing mis-splitting |
|
|
• Manual review needed for edge cases |
|
|
• Some grammatically valid outputs lacked semantic sense |
|
|
|
|
|
``` |
|
|
|
|
|
## 🔮 Future Plans |
|
|
|
|
|
This is just Pattern 1. |
|
|
|
|
|
Coming soon: |
|
|
• မ V နဲ့။ |
|
|
|
|
|
We aim to build a full-scale, pattern-rich Myanmar corpus — one rule at a time. |
|
|
|
|
|
⸻ |
|
|
|
|
|
## 🎯 Use Cases |
|
|
• Fine-tune sentence generation models |
|
|
• Train grammar correction systems |
|
|
• Build linguistic datasets for Myanmar NLP |
|
|
• Teach Myanmar grammar through concrete patterns |
|
|
• Benchmark syllable tokenizers |
|
|
|
|
|
⸻ |
|
|
|
|
|
## 🧪 Quality & Manual Review |
|
|
|
|
|
Even though all sentences were generated using grammatical rules, not all combinations may sound natural or meaningful in everyday Myanmar. |
|
|
|
|
|
📝 This dataset should be manually reviewed by native speakers to ensure each sentence: |
|
|
``` |
|
|
• Sounds natural |
|
|
• Makes semantic sense |
|
|
• Feels appropriate for real-world use |
|
|
``` |
|
|
That said — even if you: |
|
|
``` |
|
|
• Remove awkward or illogical samples |
|
|
• Filter or adjust by context |
|
|
• Expand with more rules and patterns |
|
|
``` |
|
|
|
|
|
➡️ You’ll still retain 10K+ high-quality, structured Myanmar sentences. |
|
|
|
|
|
### ⚠️ Please don’t use this dataset blindly for production training without native review. |
|
|
|
|
|
⸻ |
|
|
|
|
|
## 📜 License |
|
|
|
|
|
MIT — free to use, adapt, remix, or improve. |
|
|
But give credit where it’s due 💛 |
|
|
|
|
|
⸻ |
|
|
|
|
|
## 🔗 Citation |
|
|
|
|
|
``` |
|
|
@dataset{myanmar_verb_pattern_2025, |
|
|
title={1 Pattern 10K+ Myanmar Sentences}, |
|
|
author={freococo}, |
|
|
year={2025}, |
|
|
url={https://huggingface.co/datasets/freococo/1_pattern_10Kplus_myanmar_sentences} |
|
|
} |
|
|
``` |
|
|
|
