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1.64 kB
| """Quick check: what does the SFT dataset say for the eval questions?""" | |
| import json, re | |
| with open("Base/Datasets/sft_clean/train.json", "r", encoding="utf-8") as f: | |
| data = json.load(f) | |
| exact_queries = { | |
| "Who are you?": r"^Who are you\?$", | |
| "What is your name?": r"^What is your name\?$", | |
| "Who created you?": r"^Who created you\?$", | |
| "Who is Asterizer?": r"^Who is Asterizer\?$", | |
| "What is LUNA?": r"^What is LUNA\?$", | |
| "Are you an AI?": r"are you an ai", | |
| "Tell me about yourself": r"tell me about yourself", | |
| "Translate hello to Spanish": r"translate.*hello.*spanish", | |
| "Write a poem about the moon": r"^Write a.*poem about the moon", | |
| "Summarize evolution": r"summarize.*theory of evolution", | |
| "Explain photosynthesis": r"explain photosynthesis", | |
| "What is 25 times 4?": r"25 times 4|25 \* 4|25\*4|25 x 4", | |
| "Capital of France": r"capital of france", | |
| } | |
| for label, pat in exact_queries.items(): | |
| matches = [e for e in data if re.search(pat, e.get("instruction", "").strip(), re.I)] | |
| print(f"\n{'='*60}") | |
| print(f" {label} ({len(matches)} matches in dataset)") | |
| print(f"{'='*60}") | |
| for m in matches[:3]: | |
| inst = m["instruction"][:100] | |
| out = m["output"][:300] | |
| print(f" Q: {inst}") | |
| print(f" A: {out}") | |
| print() | |
| # Count all Asterizer-branded identity entries | |
| identity_kw = [e for e in data if "asterizer" in e.get("output", "").lower() or "luna" in e.get("output", "").lower()[:50]] | |
| print(f"\n{'='*60}") | |
| print(f" Entries mentioning Asterizer/LUNA in output: {len(identity_kw)}") | |
| print(f"{'='*60}") | |