model-a-scratch / scripts /build_sft_corpus.py
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#!/usr/bin/env python3
import io
import re
from pathlib import Path
import requests
import pyarrow.parquet as pq
BASE = "https://huggingface.co/datasets/Estwld/empathetic_dialogues_llm/resolve/refs%2Fconvert%2Fparquet/default"
SPLITS = {"train": "train", "val": "valid"}
OUT_DIR = Path("data/sft")
BOS = "<bos>"
EOS = "<eos>"
ROLES = ("<|user|>", "<|assistant|>")
_MULTI = re.compile(r"\s+")
_APOS = re.compile(r"\s+'\s*")
_PUNCT = re.compile(r"\s+([.,!?;:])")
_CODE = re.compile(r"`|</|/>|def |import |class |printf|console\.log|#include|<tool")
def clean_utt(u):
u = u.replace("’", "'").replace("‘", "'").replace("“", '"').replace("”", '"')
u = _MULTI.sub(" ", u.strip())
u = _APOS.sub("'", u)
u = _PUNCT.sub(r"\1", u)
return _MULTI.sub(" ", u).strip()
def has_code(turns):
return bool(_CODE.search(" ".join(turns)))
def fetch_conversations(split):
url = f"{BASE}/{split}/0000.parquet"
raw = requests.get(url, timeout=120).content
table = pq.read_table(io.BytesIO(raw))
return table.column("conversations").to_pylist()
def format_dialogue(turns):
parts = [BOS]
for i, text in enumerate(turns):
parts.append(ROLES[i % 2])
parts.append(text)
parts.append(EOS)
return "".join(parts)
def main():
OUT_DIR.mkdir(parents=True, exist_ok=True)
for name, split in SPLITS.items():
seen = kept = dropped_short = dropped_code = 0
out = OUT_DIR / f"{name}.txt"
with out.open("w", encoding="utf-8") as f:
for convo in fetch_conversations(split):
seen += 1
turns = [t for t in (clean_utt(c["content"]) for c in convo) if t]
if len(turns) < 2:
dropped_short += 1
continue
if has_code(turns):
dropped_code += 1
continue
f.write(format_dialogue(turns) + "\n")
kept += 1
print(f"{name}: seen={seen} kept={kept} dropped_short={dropped_short} dropped_code={dropped_code} -> {out}")
if __name__ == "__main__":
main()