| """Build corpus_v2/: the v1 corpus relabelled onto the v2 set + the life/finance scenarios (generate_life_finance.py), |
| and the held-out eval set. Labels mapped by taxonomy_labels_v2.V1_TO_V2.""" |
| import collections |
| import json |
| import random |
|
|
| from taxonomy_labels_v2 import QUESTIONS, V1_TO_V2 |
|
|
| rng = random.Random(7) |
| CAPS = {"conversation": 1300, "transact": 1200} |
|
|
|
|
| def rows(path): |
| return [json.loads(l) for l in open(path) if l.strip()] |
|
|
|
|
| def item(state, label, src, id_): |
| return {"state": state, "questions": QUESTIONS, "expected": {"loop": label}, "src": src, "id": id_} |
|
|
|
|
| train = [item(r["state"], V1_TO_V2[r["expected"]["loop"]], r["src"], r["id"]) for r in rows("corpus/train.jsonl")] |
| train += [item(r["state"], r["label"], r["src"], r["id"]) for r in rows("corpus_v2/life_finance.jsonl")] |
| rng.shuffle(train) |
| kept, count = [], collections.Counter() |
| for r in train: |
| label = r["expected"]["loop"] |
| if count[label] < CAPS.get(label, 10**9): |
| count[label] += 1 |
| kept.append(r) |
| with open("corpus_v2/train.jsonl", "w") as fh: |
| for r in kept: |
| fh.write(json.dumps(r) + "\n") |
|
|
| |
| held = [item(r["state"], V1_TO_V2[r["expected"]["loop"]], "drill", r["id"]) for r in rows("corpus/eval_drills.jsonl")] |
| for i, (text, label) in enumerate(rows_ := [tuple(x) for x in json.load(open("eval_life_finance.json"))]): |
| held.append(item(text, label, "lf-eval", f"lfe-{i}")) |
| with open("corpus_v2/eval.jsonl", "w") as fh: |
| for r in held: |
| fh.write(json.dumps(r) + "\n") |
| print("train", len(kept), dict(count), "eval", len(held)) |
|
|
