id string | problem string | steps list | final_answer string |
|---|---|---|---|
val_001 | What is 25 + 18? | [
{
"step": 1,
"description": "Add 25 + 10",
"result": "35"
},
{
"step": 2,
"description": "Add 35 + 8",
"result": "43"
},
{
"step": 3,
"description": "Verify 43 - 18 = 25",
"result": "25 β"
}
] | 43 |
π§ Amkyaw Core L3 - α ααα·αΊαα½α±αΈαα±α«αΊααΎα― System
This is a 3-step reasoning system that uses keyword matching to provide structured responses.
Features
- Step 1: Perception (α‘ααΌα±α‘αα± ααα―ααΊαΈααΌα¬αΈ)
- Step 2: Logical Sequence (αα―ααΉααα‘α ααΊ)
- Step 3: Verification & Output (α‘αααΊααΌα― + α‘ααΌα±αα―ααΊ)
Dataset Structure
Amkyaw-Core-L3/
βββ app.py # Gradio app
βββ data/
β βββ responses.jsonl # Response data
β βββ brain/
β β βββ reasoning_steps.jsonl
β β βββ conversations.jsonl
β β βββ metadata.json
β βββ validation/
β βββ validation.jsonl
βββ scripts/
β βββ *.py
βββ configs/
βββ *.yaml
Usage
from datasets import load_dataset
dataset = load_dataset("amkyawdev/Amkyaw-Core-L3")
License
MIT License
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