| """Dataset Validation Script |
| |
| Validates burme-coder-max dataset quality and format. |
| """ |
|
|
| import json |
| import re |
| from pathlib import Path |
| from typing import Dict, List, Tuple |
| from dataclasses import dataclass |
| from datetime import datetime |
|
|
|
|
| @dataclass |
| class ValidationError: |
| """Validation error.""" |
| line: int |
| field: str |
| message: str |
| severity: str = "error" |
|
|
|
|
| class DatasetValidator: |
| """Validate the burme-coder-max dataset.""" |
|
|
| |
| REQUIRED_FIELDS = ["system", "instruction", "response"] |
| MIN_RESPONSE_LENGTH = 20 |
| MAX_RESPONSE_LENGTH = 10000 |
| MIN_INSTRUCTION_LENGTH = 3 |
|
|
| |
| MYANMAR_PATTERN = re.compile(r"[\u1000-\u109f\uAA60-\uAA7f]+") |
|
|
| def __init__(self, data_dir: str): |
| self.data_dir = Path(data_dir) |
| self.errors: List[ValidationError] = [] |
| self.warnings: List[ValidationError] = [] |
|
|
| def validate_file(self, file_path: str) -> Tuple[bool, List[Dict]]: |
| """Validate a single data file.""" |
| items = [] |
| self.errors = [] |
| self.warnings = [] |
|
|
| with open(file_path, "r", encoding="utf-8") as f: |
| for line_num, line in enumerate(f, 1): |
| if not line.strip(): |
| continue |
|
|
| try: |
| item = json.loads(line) |
| items.append(item) |
| self._validate_item(item, line_num) |
| except json.JSONDecodeError as e: |
| self.errors.append(ValidationError( |
| line=line_num, |
| field="json", |
| message=f"Invalid JSON: {e}", |
| severity="error" |
| )) |
|
|
| return len(self errors) == 0, items |
|
|
| def _validate_item(self, item: Dict, line_num: int): |
| """Validate a single item.""" |
| |
| for field in self.REQUIRED_FIELDS: |
| if field not in item: |
| self.errors.append(ValidationError( |
| line=line_num, |
| field=field, |
| message=f"Missing required field: {field}", |
| severity="error" |
| )) |
| return |
| elif not isinstance(item[field], str): |
| self.errors.append(ValidationError( |
| line=line_num, |
| field=field, |
| message=f"Field {field} must be string", |
| severity="error" |
| )) |
|
|
| |
| response_len = len(item["response"]) |
| if response_len < self.MIN_RESPONSE_LENGTH: |
| self.warnings.append(ValidationError( |
| line=line_num, |
| field="response", |
| message=f"Response too short ({response_len} chars)", |
| severity="warning" |
| )) |
|
|
| if response_len > self.MAX_RESPONSE_LENGTH: |
| self.warnings.append(ValidationError( |
| line=line_num, |
| field="response", |
| message=f"Response too long ({response_len} chars)" |
| )) |
|
|
| instruction_len = len(item["instruction"]) |
| if instruction_len < self.MIN_INSTRUCTION_LENGTH: |
| self.errors.append(ValidationError( |
| line=line_num, |
| field="instruction", |
| message=f"Instruction too short ({instruction_len} chars)" |
| )) |
|
|
| |
| if "```" not in item["response"]: |
| self.warnings.append(ValidationError( |
| line=line_num, |
| field="response", |
| message="Response missing code block" |
| )) |
|
|
| |
| instruction_text = item["instruction"].lower() |
| response_text = item["response"] |
|
|
| |
| code_blocks = re.findall(r"```(\w*)", response_text) |
| languages = set(code_blocks) |
|
|
| |
| for lang in ["python", "javascript", "typescript", "java", "sql", "go", "rust"]: |
| if lang in instruction_text and lang.lower() not in languages: |
| self.warnings.append(ValidationError( |
| line=line_num, |
| field="response", |
| message=f"Instruction mentions '{lang}' but no code block found" |
| )) |
|
|
| def get_stats(self, items: List[Dict]) -> Dict: |
| """Get dataset statistics.""" |
| stats = { |
| "total_items": len(items), |
| "timestamp": datetime.now().isoformat(), |
| } |
|
|
| if not items: |
| return stats |
|
|
| |
| response_lengths = [len(item["response"]) for item in items] |
| instruction_lengths = [len(item["instruction"]) for item in items] |
|
|
| stats["response"] = { |
| "avg_length": sum(response_lengths) / len(response_lengths), |
| "min_length": min(response_lengths), |
| "max_length": max(response_lengths), |
| } |
|
|
| stats["instruction"] = { |
| "avg_length": sum(instruction_lengths) / len(instruction_lengths), |
| "min_length": min(instruction_lengths), |
| "max_length": max(instruction_lengths), |
| } |
|
|
| |
| all_languages = [] |
| for item in items: |
| code_blocks = re.findall(r"```(\w*)", item["response"]) |
| all_languages.extend([lang for lang in code_blocks if lang]) |
|
|
| from collections import Counter |
| lang_counts = Counter(all_languages) |
| stats["languages"] = dict(lang_counts) |
|
|
| |
| myanmar_count = sum( |
| 1 for item in items |
| if self.MYANMAR_PATTERN.search(item["instruction"]) |
| ) |
| stats["myanmar_items"] = myanmar_count |
| stats["myanmar_percentage"] = (myanmar_count / len(items)) * 100 if items else 0 |
|
|
| |
| systems = set(item["system"] for item in items) |
| stats["unique_systems"] = len(systems) |
|
|
| return stats |
|
|
|
|
| def main(): |
| """Run validation.""" |
| import sys |
|
|
| print("=" * 60) |
| print("📊 Burme-Coder-Max Dataset Validator") |
| print("=" * 60) |
|
|
| data_dir = Path(__file__).parent.parent / "data" / "knowledge" |
| validator = DatasetValidator(str(data_dir)) |
|
|
| |
| jsonl_files = list(Path(".").rglob("*.jsonl")) |
| if not jsonl_files: |
| print("⚠️ No JSONL files found") |
| sys.exit(1) |
|
|
| total_errors = 0 |
| total_warnings = 0 |
| total_items = 0 |
|
|
| for jsonl_file in jsonl_files: |
| print(f"\n📁 Validating: {jsonl_file.name}") |
|
|
| valid, items = validator.validate_file(str(jsonl_file)) |
| total_items += len(items) |
|
|
| if validator.errors: |
| print(f" ❌ {len(validator.errors)} errors:") |
| for err in validator.errors[:10]: |
| print(f" Line {err.line}: {err.field} - {err.message}") |
|
|
| if validator.warnings: |
| print(f" ⚠️ {len(validator.warnings)} warnings:") |
| for warn in validator.warnings[:5]: |
| print(f" Line {warn.line}: {warn.field} - {warn.message}") |
|
|
| if valid and not validator.errors: |
| print(" ✅ Valid") |
|
|
| total_errors += len(validator.errors) |
| total_warnings += len(validator.warnings) |
|
|
| |
| if jsonl_files: |
| validator.validate_file(str(jsonl_files[0])) |
| stats = validator.get_stats([]) |
| stats["total_items"] = total_items |
|
|
| print("\n📈 Overall Statistics:") |
| print(f" Total items: {stats['total_items']}") |
| print(f" Total errors: {total_errors}") |
| print(f" Total warnings: {total_warnings}") |
|
|
| print("\n" + "=" * 60) |
| if total_errors == 0: |
| print("✅ Validation passed!") |
| else: |
| print(f"❌ {total_errors} errors found, {total_warnings} warnings") |
| print("=" * 60) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|