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ad01ed3 | 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 | #!/usr/bin/env python3
"""Fetch real XNLI validation text per language -> tests/data/xnli/<lang>.txt (premise+hypothesis).
Uses the HF datasets-server rows API (no auth needed for public datasets)."""
import urllib.request, urllib.parse, json, os
LANGS = ["ar","bg","de","el","en","es","fr","hi","ru","sw","th","tr","ur","vi","zh"]
ROWS = 400 # per language
here = os.path.dirname(os.path.abspath(__file__))
out = os.path.join(here, "xnli")
os.makedirs(out, exist_ok=True)
def fetch(lang):
q = urllib.parse.urlencode({"dataset":"facebook/xnli","config":lang,
"split":"validation","offset":0,"length":ROWS})
url = "https://datasets-server.huggingface.co/rows?" + q
req = urllib.request.Request(url, headers={"User-Agent":"fast_split-parity/0.1"})
data = json.load(urllib.request.urlopen(req, timeout=60))
lines = []
for r in data["rows"]:
row = r["row"]
for k in ("premise","hypothesis"):
v = row.get(k)
if isinstance(v, str) and v:
lines.append(v)
return "\n".join(lines)
for lang in LANGS:
try:
t = fetch(lang)
open(os.path.join(out, f"{lang}.txt"), "w", encoding="utf-8").write(t)
print(f"{lang}: {len(t.encode())} bytes, {t.count(chr(10))+1} segments")
except Exception as e:
print(f"{lang}: FAILED {e}")
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