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"""Shared bits for thrasher corpus ingest.
Row schema (all lanes):
{"id", "lane", "family", "source", "messages": [{"role", "content"}]}
messages roles are system/user/assistant. The system turn, when present, is the
character/task card itself — mockingbird has no persona core to prepend.
"""
import re
THINK = re.compile(r"<think>.*?</think>\s*", re.DOTALL)
THINK_UNCLOSED = re.compile(r"^\s*<think>.*", re.DOTALL)
ROLE = {"system": "system", "human": "user", "user": "user",
"gpt": "assistant", "assistant": "assistant"}
NAME_PREFIX = re.compile(r"^[A-Z][A-Za-z .'\-]{1,30}:\s")
META_BREAK = re.compile(
r"no ethical (restrictions|guidelines|constraints)"
r"|i understand (all )?the guidelines"
r"|i am playing as .{0,40}(npcs|narrator)"
r"|i will avoid writing (any )?dialogue"
r"|here is (the|my) (next |first )?(rp |roleplay )(response|reply)"
r"|('|\")?thinking('|\")? block|guidelines('|\")? xml tag"
r"|content policy|jailbreak"
r"|i('m| am) sorry,? (but )?i (cannot|can't) (continue|create|generate|write)"
r"|violates .{0,30}(policy|guidelines)"
r"|\bas an ai\b|\blanguage model\b|\bopenai\b|\banthropic\b", re.I)
# English gate for the RP lanes.
_ENG = set("the and to of a in is it you that he she was for on are with as her "
"his they at be this have from or had by not but what all were when "
"we there can an your which their".split())
def is_english(text: str) -> bool:
letters = [c for c in text if c.isalpha()]
if len(letters) >= 40:
if sum(1 for c in letters if ord(c) > 0x24F) / len(letters) > 0.3:
return False
words = re.findall(r"[a-zA-Z']+", text.lower())
if len(words) < 20:
return True
return sum(w in _ENG for w in words) / len(words) >= 0.12
def strip_think(text: str) -> str:
out = THINK.sub("", text)
out = THINK_UNCLOSED.sub("", out)
return out.strip()
def sharegpt_to_messages(conversations: list[dict]) -> list[dict] | None:
"""ShareGPT -> messages, thinking stripped from assistant turns.
Returns None if any assistant turn becomes empty after stripping."""
msgs = []
for m in conversations:
role = ROLE.get(m["from"])
if role is None:
return None
content = m["value"]
if role == "assistant":
content = strip_think(content)
if not content:
return None
msgs.append({"role": role, "content": content})
return msgs