| import os,json,time,threading,concurrent.futures as cf |
| from openai import OpenAI |
| from translit import tanglish |
| c=OpenAI(base_url="https://router.huggingface.co/v1",api_key=os.environ.get("HF_TOKEN","x"),timeout=240) |
| en={(d["link"],d["question_number"]):d for d in map(json.loads,open("eng_Latn.jsonl"))} |
| ta={(d["link"],d["question_number"]):d for d in map(json.loads,open("tam_Taml.jsonl"))} |
| keys=sorted(k for k in ta if k in en) |
| INS={"en":"Answer with only the number of the correct option (1, 2, 3 or 4).","ta":"சரியான விடையின் எண்ணை மட்டும் (1, 2, 3 அல்லது 4) கூறவும்."} |
| def prompt(k,cond): |
| if cond=="translit": |
| return tanglish(prompt(k,"ta").rsplit("\n\n",1)[0])+"\n\nCorrect option number mattum sollunga (1, 2, 3 illa 4)." |
| P=(ta if cond in("ta","mix") else en)[k]; Q=(ta if cond=="ta" else en)[k] |
| lab={"en":("Passage","Question","Options"),"ta":("பத்தி","கேள்வி","விடைகள்")}["ta" if cond=="ta" else "en"] |
| opts="\n".join(f"{i}. {Q['mc_answer'+str(i)]}" for i in range(1,5)) |
| return f"{lab[0]}:\n{P['flores_passage']}\n\n{lab[1]}: {Q['question']}\n\n{lab[2]}:\n{opts}\n\n{INS['ta' if cond=='ta' else 'en']}" |
| OUT="belebele_raw.jsonl"; done=set(); lock=threading.Lock() |
| if os.path.exists(OUT): |
| for l in open(OUT): |
| r=json.loads(l) |
| if "error" not in r: done.add((r["link"],r["qn"],r["cond"])) |
| jobs=[(k,cd) for k in keys for cd in ("translit",) if (k[0],k[1],cd) not in done] |
| print("todo",len(jobs),flush=True) |
| def run(j): |
| k,cd=j; err=None |
| for a in range(6): |
| try: |
| t=time.time() |
| r=c.chat.completions.create(model="reflection/Beam-1.0-501B-A23B",messages=[{"role":"user","content":prompt(k,cd)}],max_tokens=4000) |
| m=r.choices[0].message;u=r.usage |
| rd=u.completion_tokens_details.reasoning_tokens if u.completion_tokens_details else None |
| rec=dict(link=k[0],qn=k[1],cond=cd,gold=str(en[k]["correct_answer_num"]),output=m.content,prompt_tokens=u.prompt_tokens,completion_tokens=u.completion_tokens,reasoning_tokens=rd,latency=round(time.time()-t,2),finish=r.choices[0].finish_reason) |
| break |
| except Exception as e: err=str(e)[:200]; time.sleep(4*(a+1)) |
| else: rec=dict(link=k[0],qn=k[1],cond=cd,error=err) |
| with lock: open(OUT,"a").write(json.dumps(rec,ensure_ascii=False)+"\n") |
| with cf.ThreadPoolExecutor(12) as ex: list(ex.map(run,jobs)) |
| print("done",flush=True) |
|
|
