| """ |
| validate_dataset.py |
| =================== |
| Pre-release validation script for GomParam-v1. |
| Run before every release to ensure dataset integrity. |
| |
| Exit codes: |
| 0 = PASS (all checks passed) |
| 1 = FAIL (one or more checks failed) |
| """ |
|
|
| import json |
| import re |
| import sys |
| import unicodedata |
| from collections import Counter |
| from pathlib import Path |
|
|
| DATA_DIR = Path("/mnt/data/projects/GomParam-v1/data") |
|
|
| CHECKS_PASSED = 0 |
| CHECKS_FAILED = 0 |
| WARNINGS = 0 |
|
|
| def check(name, condition, detail=""): |
| global CHECKS_PASSED, CHECKS_FAILED |
| if condition: |
| CHECKS_PASSED += 1 |
| print(f" ✓ {name}") |
| else: |
| CHECKS_FAILED += 1 |
| print(f" ✗ FAIL: {name}") |
| if detail: |
| print(f" → {detail}") |
|
|
| def warn(name, detail=""): |
| global WARNINGS |
| WARNINGS += 1 |
| print(f" ⚠ WARN: {name}") |
| if detail: |
| print(f" → {detail}") |
|
|
| |
| |
| |
| print("="*60) |
| print("GomParam-v1 Pre-Release Validation") |
| print("="*60) |
|
|
| json_files = sorted(DATA_DIR.glob("*.json")) |
| check("JSON files exist", len(json_files) > 0, f"Found {len(json_files)} files") |
|
|
| all_items = [] |
| all_ids = [] |
| module_counts = Counter() |
|
|
| for json_file in json_files: |
| module_name = json_file.stem |
| try: |
| with open(json_file, "r", encoding="utf-8") as f: |
| data = json.load(f) |
| check(f"Valid JSON: {module_name}", True) |
| except json.JSONDecodeError as e: |
| check(f"Valid JSON: {module_name}", False, str(e)) |
| continue |
|
|
| for item in data: |
| item["_module"] = module_name |
| all_items.append(item) |
| all_ids.append(item.get("id", "MISSING")) |
| module_counts[module_name] = len(data) |
|
|
| N = len(all_items) |
| print(f"\nTotal items: {N}") |
|
|
| |
| |
| |
| print("\n--- Duplicate IDs ---") |
| id_counts = Counter(all_ids) |
| dupes = {k: v for k, v in id_counts.items() if v > 1} |
| check("No duplicate IDs", len(dupes) == 0, f"{len(dupes)} duplicated IDs: {list(dupes.keys())[:5]}") |
|
|
| |
| |
| |
| print("\n--- Option Count ---") |
| bad_options = [] |
| for item in all_items: |
| candidates = item.get("candidates", []) |
| if len(candidates) != 4: |
| bad_options.append((item.get("id", "?"), len(candidates))) |
| check("All items have exactly 4 candidates", len(bad_options) == 0, |
| f"{len(bad_options)} items have wrong candidate count: {bad_options[:5]}") |
|
|
| |
| |
| |
| print("\n--- Answer Labels ---") |
| bad_answers = [] |
| for item in all_items: |
| correct = item.get("correct") |
| if correct not in [0, 1, 2, 3]: |
| bad_answers.append((item.get("id", "?"), correct)) |
| check("All answer indices are 0-3", len(bad_answers) == 0, |
| f"{len(bad_answers)} items have invalid answer index: {bad_answers[:5]}") |
|
|
| |
| |
| |
| print("\n--- Missing Fields ---") |
| missing = [] |
| for item in all_items: |
| ctx = item.get("context", "") |
| q = item.get("question", "") |
| candidates = item.get("candidates", []) |
| |
| if not ctx and not q: |
| missing.append((item.get("id", "?"), "no context or question")) |
| if not candidates: |
| missing.append((item.get("id", "?"), "no candidates")) |
| for i, c in enumerate(candidates): |
| if not str(c).strip(): |
| missing.append((item.get("id", "?"), f"empty candidate {i}")) |
| check("No critical missing fields", len(missing) == 0, |
| f"{len(missing)} issues: {missing[:5]}") |
|
|
| |
| |
| |
| print("\n--- Answer in Candidates ---") |
| out_of_range = [] |
| for item in all_items: |
| correct = item.get("correct", -1) |
| candidates = item.get("candidates", []) |
| if correct is not None and (correct < 0 or correct >= len(candidates)): |
| out_of_range.append((item.get("id", "?"), correct, len(candidates))) |
| check("Answer index within candidate range", len(out_of_range) == 0, |
| f"{len(out_of_range)} items have out-of-range answer: {out_of_range[:5]}") |
|
|
| |
| |
| |
| print("\n--- Unicode Normalization ---") |
| unnormalized = 0 |
| for item in all_items: |
| for field in ["context", "question"]: |
| text = item.get(field, "") or "" |
| if unicodedata.normalize("NFC", text) != text: |
| unnormalized += 1 |
| for c in item.get("candidates", []): |
| if unicodedata.normalize("NFC", str(c)) != str(c): |
| unnormalized += 1 |
| check("All strings are NFC-normalized", unnormalized == 0, |
| f"{unnormalized} unnormalized strings found") |
|
|
| |
| |
| |
| print("\n--- Script Consistency ---") |
| mixed = 0 |
| for item in all_items: |
| for field in ["context", "question"]: |
| text = item.get(field, "") or "" |
| for word in text.split(): |
| has_dev = bool(re.search(r'[\u0900-\u097F]', word)) |
| has_lat = bool(re.search(r'[a-zA-Z]', word)) |
| if has_dev and has_lat: |
| mixed += 1 |
| check("No mixed-script words", mixed == 0, |
| f"{mixed} words mix Devanagari and Latin characters") |
|
|
| |
| |
| |
| print("\n--- Duplicate Questions ---") |
| seen = set() |
| exact_dupes = 0 |
| for item in all_items: |
| ctx = item.get("context", "") or "" |
| q = item.get("question", "") or "" |
| key = f"{ctx}|||{q}" |
| if key in seen: |
| exact_dupes += 1 |
| seen.add(key) |
| if exact_dupes > 0: |
| warn(f"{exact_dupes} exact duplicate context+question pairs found") |
| else: |
| check("No exact duplicate questions", True) |
|
|
| |
| |
| |
| print("\n--- Category Consistency ---") |
| items_without_category = sum(1 for item in all_items if not item.get("category")) |
| items_without_difficulty = sum(1 for item in all_items if not item.get("difficulty")) |
| if items_without_category > 0: |
| warn(f"{items_without_category} items missing 'category' field") |
| else: |
| check("All items have category field", True) |
| if items_without_difficulty > 0: |
| warn(f"{items_without_difficulty} items missing 'difficulty' field") |
| else: |
| check("All items have difficulty field", True) |
|
|
| |
| |
| |
| print("\n" + "="*60) |
| print(f"RESULTS: {CHECKS_PASSED} passed, {CHECKS_FAILED} failed, {WARNINGS} warnings") |
| if CHECKS_FAILED == 0: |
| print("VERDICT: ✓ PASS") |
| sys.exit(0) |
| else: |
| print("VERDICT: ✗ FAIL") |
| sys.exit(1) |
|
|