| import hashlib, json |
| from collections import Counter |
| from alea.genbase import emit, q_choice, q_noul, q_score, validate_row, write_jsonl |
|
|
| def sig(r): |
| return hashlib.sha256((json.dumps(r["state"],sort_keys=True,ensure_ascii=False) |
| + json.dumps(r["questions"],sort_keys=True,ensure_ascii=False)).encode()).hexdigest() |
|
|
| def convert(ex, idx): |
| kind = ex["kind"] |
| keys = [o["key"] for o in ex["options"]] |
| texts = [f'{o["key"]}: {o["description"]}' for o in ex["options"]] |
| gold = ex["answer_key"] |
| if gold not in keys: |
| return None |
| gi = keys.index(gold) |
| if kind == "choice": |
| q = q_choice("answer", ex["question"], texts, |
| [1.0 if i == gi else 0.0 for i in range(len(texts))]) |
| elif kind == "score": |
| q = q_score("score", ex["question"], texts, |
| [1.0 if i == gi else 0.0 for i in range(len(texts))]) |
| elif kind == "noul": |
| q = q_noul("answer", ex["question"], 1.0 if gold == "yes" else 0.0) |
| else: |
| return None |
| row = emit("tev1_" + ex["source"], idx, ex["state"], [q]) |
| row["id"] = "tev1-" + ex["id"] |
| row["provenance"] = {"dataset": "togethercomputer/tev1", "source": ex["source"], |
| "group_id": ex["group_id"], "split": ex["split"], |
| "upstream": ex.get("provenance")} |
| validate_row(row) |
| return row |
|
|
| def load(path): |
| rows, seen = [], set() |
| stats = Counter() |
| for i, line in enumerate(open(path)): |
| ex = json.loads(line) |
| r = convert(ex, i) |
| if r is None: |
| stats["unsupported"] += 1 |
| continue |
| h = sig(r) |
| if h in seen: |
| stats["dup"] += 1 |
| continue |
| seen.add(h) |
| rows.append(r) |
| stats["src:" + ex["source"]] += 1 |
| return rows, seen, stats |
|
|
| train, tr_sigs, tr_stats = load("/root/tev1/data/new-v1/records/train.jsonl") |
| dev, dv_sigs, dv_stats = load("/root/tev1/data/new-v1/records/dev.jsonl") |
| tr_groups = {r["provenance"]["group_id"] for r in train} |
| overlap = sum(1 for r in dev if r["provenance"]["group_id"] in tr_groups) |
| dev = [r for r in dev if sig(r) not in tr_sigs] |
| transfer, tf_sigs, tf_stats = load("/root/tev1/data/v2.1/records/transfer.jsonl") |
| transfer = [r for r in transfer if sig(r) not in tr_sigs | dv_sigs] |
| write_jsonl(train, "/root/alea/data/tev1_train.jsonl") |
| write_jsonl(dev, "/root/alea/data/tev1_dev.jsonl") |
| write_jsonl(transfer, "/root/alea/data/tev1_transfer.jsonl") |
| print("train", len(train), dict(tr_stats)) |
| print("dev", len(dev), "group_overlap_rows_removed_only_if_dup:", overlap, dict(dv_stats)) |
| print("transfer", len(transfer), dict(tf_stats)) |
|
|
