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README.md

@@ -1,49 +1,56 @@
-# Amkyaw-Core-L3
-
-A high-quality 3-step reasoning dataset for training AI models on systematic thinking processes.
-
-## Dataset Description
-
-Amkyaw-Core-L3 is a reasoning-focused dataset designed to train AI models on 3-step thinking processes:
-1. Problem understanding
-2. Solution derivation  
-3. Verification
-
-## Structure
+---
+title: Amkyaw Core L3
+emoji: 🧠
+colorFrom: yellow
+colorTo: purple
+sdk: gradio
+sdk_version: 6.12.0
+app_file: app.py
+pinned: false
+license: mit
+short_description: '3-Step Reasoning Chat System'
+tags:
+- chat
+- reasoning
+- gradio
+- burmese
+---
+
+# 🧠 Amkyaw Core L3 - ၃ ဆင့်တွေးခေါ်မှု System
+
+This is a 3-step reasoning system that uses keyword matching to provide structured responses.
+
+## Features
+- Step 1: Perception (အခြေအနေ ပိုင်းခြား)
+- Step 2: Logical Sequence (ယုတ္တိအစဉ်)
+- Step 3: Verification & Output (အတည်ပြု + အဖြေထုတ်)
+
+## Dataset Structure
 
 ```
 Amkyaw-Core-L3/
+├── app.py                      # Gradio app
 ├── data/
+│   ├── responses.jsonl          # Response data
 │   ├── brain/
-│   │   ├── reasoning_steps.jsonl    # Main reasoning data
-│   │   ├── conversations.jsonl     # User-Model dialogues
-│   │   └── metadata.json           # Training data metadata
-│   ├── validation/
-│   │   └── validation.jsonl       # Validation data
-│   └── raw_logs/
-│       └── logs-*.jsonl            # Raw logs from Gradio Space
+│   │   ├── reasoning_steps.jsonl
+│   │   ├── conversations.jsonl
+│   │   └── metadata.json
+│   └── validation/
+│       └── validation.jsonl
 ├── scripts/
-│   ├── preprocess.py
-│   ├── validate_data.py
-│   ├── push_to_hub.py
-│   └── augment_reasoning.py
+│   └── *.py
 └── configs/
-    ├── dataset_config.yaml
-    └── reasoning_prompts.yaml
+    └── *.yaml
 ```
 
 ## Usage
 
 ```python
 from datasets import load_dataset
-
 dataset = load_dataset("amkyawdev/Amkyaw-Core-L3")
 ```
 
 ## License
 
-MIT License
-
-## Citation
-
-Please cite this dataset if used in research.
+MIT License

app.py

@@ -0,0 +1,97 @@
+import json
+import gradio as gr
+from difflib import SequenceMatcher
+from pathlib import Path
+
+
+# JSONL ဖိုင်ကို တစ်ခါဖတ်ပြီး memory ထဲထား
+DATA_PATH = Path(__file__).parent / "data" / "responses.jsonl"
+
+
+with open(DATA_PATH, "r", encoding="utf-8") as f:
+    responses = [json.loads(line) for line in f]
+
+
+def three_step_reasoning(user_message, history):
+    """
+    သုံးဆင့်တွေးခေါ်မှု System
+    Step 1: Perception (အခြေအနေ ပိုင်းခြား)
+    Step 2: Logical Sequence (ယုတ္တိအစဉ်)
+    Step 3: Verification & Output (အတည်ပြု + အဖြေထုတ်)
+    """
+    
+    # ----- အဆင့် ၁: Perception (ဖမ်းယူခြင်း) -----
+    print(f"[Step 1 - Perception] User: {user_message}")
+    
+    # JSONL ထဲက အကောင်းဆုံး match ကို ရှာ
+    best_match = None
+    best_score = 0
+    
+    for resp in responses:
+        score = 0
+        for kw in resp["keywords"]:
+            if kw in user_message:
+                # keyword တစ်လုံးချင်းစီအတွက် အချိုးကျပုံ
+                score += SequenceMatcher(None, user_message, kw).ratio()
+        
+        # စုစုပေါင်း score ကို keyword အရေအတွက်နဲ့ စား
+        if resp["keywords"]:
+            score = score / len(resp["keywords"])
+        
+        if score > best_score:
+            best_score = score
+            best_match = resp
+    
+    # ----- အဆင့် ၂: Logical Sequence (ယုတ္တိအစဉ်တန်း) -----
+    if best_match and best_score > 0.3:  # threshold 0.3
+        print(f"[Step 2 - Logical Sequence] Matched: {best_match['keywords']} (score: {best_score:.2f})")
+        reasoning = best_match["step2"]
+    else:
+        print(f"[Step 2 - Logical Sequence] No good match found")
+        reasoning = "ကျေးဇူးပြု၍ ပိုရှင်းလင်းအောင် မေးပေးပါ။"
+    
+    # ----- အဆင့် ၃: Verification & Output (အတည်ပြု + အဖြေထုတ်) -----
+    if best_match and best_score > 0.3:
+        print(f"[Step 3 - Verification] {best_match['step3']}")
+        print(f"[Step 3 - Output] {best_match['answer']}")
+        
+        final_output = f"""🧠 **အဆင့် ၁ - Perception (ခံယူချက်)**
+{best_match['step1']}
+
+
+⚙️ **အဆင့် ၂ - Logical Sequence (ယုတ္တိအစဉ်)**
+{reasoning}
+
+
+✅ **အဆင့် ၃ - Verification & Output (အတည်ပြုခြင်းနှင့် အဖြေ)**
+{best_match['step3']}
+
+
+---
+✨ **အဖြေ:** {best_match['answer']}"""
+    else:
+        final_output = f"""🧠 **အဆင့် ၁ - Perception (ခံယူချက်)**
+မေးခွန်းကို နားလည်ရန် ကြိုးစားနေပါတယ်။
+
+
+⚙️ **အဆင့် ၂ - Logical Sequence (ယုတ္တိအစဉ်)**
+{reasoning}
+
+
+✅ **အဆင့် ၃ - Verification & Output (အတည်ပြုခြင်းနှင့် အဖြေ)**
+ကျေးဇူးပြု၍ ထပ်မေးပေးပါ။"""
+
+
+    return final_output
+
+
+# Gradio Interface
+demo = gr.ChatInterface(
+    fn=three_step_reasoning,
+    title="🧠 Amkyaw Core L3 - ၃ ဆင့်တွေးခေါ်မှု System",
+    description="3-Step Reasoning System with keyword matching",
+    theme=gr.themes.Soft(),
+)
+
+# Launch
+demo.launch()

configs/dataset_config.yaml

@@ -1,24 +1,3 @@
-dataset_name: Amkyaw-Core-L3
-version: "1.0.0"
-description: 3-step reasoning dataset for AI training
-
-# Data configuration
-data:
-  brain:
-    reasoning_steps: data/brain/reasoning_steps.jsonl
-    conversations: data/brain/conversations.jsonl
-    metadata: data/brain/metadata.json
-  validation:
-    path: data/validation/validation.jsonl
-
-# Processing
-processing:
-  num_reasoning_steps: 3
-  languages:
-    - en
-  tasks:
-    - reasoning
-    - math
-
-# License
-license: MIT
+version https://git-lfs.github.com/spec/v1
+oid sha256:d30d311ed796982363e60062c52adb741042fa5f42185188506c8e410f430f1c
+size 469

configs/reasoning_prompts.yaml

@@ -1,42 +1,3 @@
-# 3-Step Reasoning Prompt Templates
-
-templates:
-  step1:
-    name: "Problem Understanding"
-    description: "Break down and understand the problem"
-    prompt: |
-      Step 1: Understand the problem
-      - Identify what is being asked
-      - Determine the operation needed
-      - Extract relevant numbers
-
-  step2:
-    name: "Solution Derivation"
-    description: "Apply the operation to find the answer"
-    prompt: |
-      Step 2: Derive the solution
-      - Apply the operation step by step
-      - Show intermediate calculations
-      - Get the final result
-
-  step3:
-    name: "Verification"
-    description: "Verify the answer is correct"
-    prompt: |
-      Step 3: Verify
-      - Check by doing the reverse operation
-      - Confirm the answer makes sense
-
-# Example prompts
-examples:
-  math_add: |
-    Let me solve this step by step:
-    Step 1: Add {a} + {b}
-    Step 2: Compute the sum
-    Step 3: Verify by subtracting
-
-  math_multiply: |
-    Let me solve this step by step:
-    Step 1: Break down the problem
-    Step 2: Multiply step by step
-    Step 3: Verify by dividing
+version https://git-lfs.github.com/spec/v1
+oid sha256:2b54cc18534c55c4fb06240a1e9f2b54ad562e6801841e8b14efda6c958ce86b
+size 1089

data/brain/conversations.jsonl

@@ -1,3 +1,3 @@
-{"user": "What is 15 + 27?", "assistant": "Let me solve this step by step:\n\nStep 1: Add 15 + 20 = 35\nStep 2: Add 35 + 7 = 42\nStep 3: Verify: 42 - 27 = 15 ✓\n\nAnswer: 42"}
-{"user": "What is 8 × 6?", "assistant": "Let me solve this step by step:\n\nStep 1: Break 6 into 2 × 3: 8 × 2 = 16\nStep 2: Multiply 16 × 3 = 48\nStep 3: Verify: 48 ÷ 6 = 8 ✓\n\nAnswer: 48"}
-{"user": "What is 100 - 37?", "assistant": "Let me solve this step by step:\n\nStep 1: Subtract 100 - 30 = 70\nStep 2: Subtract 70 - 7 = 63\nStep 3: Verify: 63 + 37 = 100 ✓\n\nAnswer: 63"}
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7117aed582e7a34fb64856ef52eb3b747a64eb4b23a8a678b7eeeb5f919bf1b
+size 566

data/brain/metadata.json

@@ -1,10 +1,3 @@
-{
-  "dataset_name": "Amkyaw-Core-L3",
-  "version": "1.0.0",
-  "description": "3-step reasoning training data",
-  "num_samples": 3,
-  "languages": ["en"],
-  "tasks": ["reasoning", "math"],
-  "created_date": "2026-04-14",
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f75ceedf58a80e225bd3181014b52cd0370f192c69bc35bb5e53ff854f53e2d
+size 240

data/brain/reasoning_steps.jsonl

@@ -1,3 +1,3 @@
-{"id": "reasoning_001", "problem": "What is 15 + 27?", "steps": [{"step": 1, "description": "Add 15 + 20", "result": "35"}, {"step": 2, "description": "Add 35 + 7", "result": "42"}, {"step": 3, "description": "Verify 42 - 27 = 15", "result": "15 ✓"}], "final_answer": "42"}
-{"id": "reasoning_002", "problem": "What is 8 × 6?", "steps": [{"step": 1, "description": "Break 6 into 2 × 3", "result": "8 × 2 = 16"}, {"step": 2, "description": "Multiply 16 × 3", "result": "48"}, {"step": 3, "description": "Verify 48 ÷ 6 = 8", "result": "8 ✓"}], "final_answer": "48"}
-{"id": "reasoning_003", "problem": "What is 100 - 37?", "steps": [{"step": 1, "description": "Subtract 100 - 30", "result": "70"}, {"step": 2, "description": "Subtract 70 - 7", "result": "63"}, {"step": 3, "description": "Verify 63 + 37 = 100", "result": "100 ✓"}], "final_answer": "63"}
+version https://git-lfs.github.com/spec/v1
+oid sha256:73e01c6d31d16d2206ba3f9092befa65dac2128910277d13bc9d657d23a3c28f
+size 861

data/responses.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5ef90a3b83d746c34f77fb805738b88c482aa3e6654c04aa61d00a6431cb541
+size 2107

data/validation/validation.jsonl

@@ -1 +1,3 @@
-{"id": "val_001", "problem": "What is 25 + 18?", "steps": [{"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 ✓"}], "final_answer": "43"}
+version https://git-lfs.github.com/spec/v1
+oid sha256:70733a9aebbe45683042ba6895ea9acede5644693ce6a5aac0608bd3e507669c
+size 269