| import ast, hashlib, json, random, re |
| from collections import Counter |
| from itertools import chain |
| from datasets import load_dataset |
|
|
| random.seed(42) |
| MAX_ROWS = 42000 |
| rows, per_qt, fps = [], Counter(), set() |
|
|
| ds = chain(load_dataset("baharef/ToT", "tot_arithmetic", split="test", streaming=True), |
| load_dataset("baharef/ToT", "tot_semantic", split="test", streaming=True), |
| load_dataset("baharef/ToT", "tot_semantic_large", split="test", streaming=True)) |
|
|
| NUM = re.compile(r"-?\d+") |
| for r in ds: |
| qt = r.get("question_type") or "misc" |
| q = str(r.get("question", "")).strip() |
| p = str(r.get("prompt", "")).strip() |
| lab = r.get("label") |
| if isinstance(lab, str): |
| try: |
| lab = ast.literal_eval(lab) |
| except Exception: |
| pass |
| ans = lab.get("answer") if isinstance(lab, dict) else (lab if isinstance(lab, str) else None) |
| if not q or not ans or len(p) > 1400: |
| continue |
| ans = str(ans).strip() |
| m = NUM.search(ans.replace(",", "")) |
| if not m: |
| continue |
| val = int(m.group(0)) |
| |
| def swap(a, v): |
| return NUM.sub(str(v), a, count=1) |
| cands = {val} |
| for d in (1, -1, 2, -2, 10, -10, 4, -4, 8, -8, 100, -100, 5, -5): |
| cands.add(val + d) |
| if len(cands) >= 4: |
| break |
| opts = [ans] + [swap(ans.replace(",", ""), x) for x in random.sample(sorted(cands - {val}), 3)] |
| random.shuffle(opts) |
| fp = hashlib.sha256(f"{p}|{q}|{ans}".encode()).hexdigest() |
| if fp in fps: |
| continue |
| fps.add(fp) |
| qq = re.sub(r"format your answer.*$", "", q, flags=re.I).strip() |
| st = {"context": p} if p else {"context": qq} |
| tgt = [0.0] * len(opts) |
| ti = opts.index(ans) |
| tgt[ti] = 1.0 |
| gid = f"tot:{qt}:{fp[:12]}" |
| rows.append({"state": st, "id": f"tot:{qt}:{fp[:16]}", "kind": "choice", |
| "options": opts, "target": tgt, |
| "question": qq + " Choose the correct answer.", |
| "source": f"tot:{qt}", "group_id": gid}) |
| per_qt[qt] += 1 |
| if len(rows) >= MAX_ROWS: |
| break |
|
|
| random.shuffle(rows) |
| dev = [r for r in rows if hashlib.md5(r["group_id"].encode()).hexdigest()[0] == "0"] |
| train = [r for r in rows if hashlib.md5(r["group_id"].encode()).hexdigest()[0] != "0"] |
| tg = {r["group_id"] for r in train} |
| dev = [r for r in dev if r["group_id"] not in tg] |
| with open("/root/alea/data/tot_train.jsonl", "w") as f: |
| for r in train[:36000]: |
| f.write(json.dumps(r) + "\n") |
| with open("/root/alea/data/tot_dev.jsonl", "w") as f: |
| for r in dev[:3500]: |
| f.write(json.dumps(r) + "\n") |
| print({"train": min(36000, len(train)), "dev": min(3500, len(dev)), "qtypes": dict(per_qt)}) |
|
|
