File size: 1,107 Bytes
3af75d1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | #!/usr/bin/env python3
import json
input_path = "magpie_conversations_cemig_v0.jsonl"
output_path = "magpie_conversations_cemig_v0.jsonl"
ORDER = ["pedagogica", "aplicada", "objetiva", "instrucional"]
ALIASES = {"objetica": "objetiva"}
def norm_style(s):
if not isinstance(s, str):
return None
s = s.strip().lower()
return ALIASES.get(s, s)
def order_idx(s):
s = norm_style(s)
return ORDER.index(s) if s in ORDER else len(ORDER)
records = []
with open(input_path, encoding="utf-8") as f:
for i, line in enumerate(f):
if not line.strip():
continue
obj = json.loads(line)
style = obj.get("question_style")
cid = obj.get("context_id")
ns = norm_style(style)
if ns and ns != style:
obj["question_style"] = ns
key = (order_idx(ns), cid if isinstance(cid, int) else float("inf"), i)
records.append((key, obj))
records.sort(key=lambda x: x[0])
with open(output_path, "w", encoding="utf-8") as out:
for _, obj in records:
out.write(json.dumps(obj, ensure_ascii=False) + "\n")
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