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tokenizers-test-data / fixtures /fetch_fixtures.py
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sbrandeis HF Staff
Add multilingual + modality benchmark corpora under fixtures/
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#!/usr/bin/env python3
"""Build multilingual + modality text fixtures for tokenizer benchmarks.
Streams a few MB of real text per language/modality from public Hugging Face
datasets and writes plain .txt files into lang/ and modalities/ next to this
script, plus a fixtures_manifest.json recording source dataset, config,
split, pinned revision SHA, and sizes. See FIXTURES.md for the
human-readable version.
Usage:
uv run --python 3.12 --with 'datasets>=3.2' fetch_fixtures.py [name ...]
With no args, builds every fixture. Names are file stems (e.g. hin_Deva).
Safety: HF_DATASETS_TRUST_REMOTE_CODE is forced off — only parquet-native
datasets are read, no dataset loading scripts ever execute. Downloaded
content is treated strictly as text data.
"""
from __future__ import annotations
import json
import os
import sys
import time
from pathlib import Path
os.environ["HF_DATASETS_TRUST_REMOTE_CODE"] = "0"
from datasets import load_dataset # noqa: E402
from huggingface_hub import HfApi # noqa: E402
HERE = Path(__file__).resolve().parent
MANIFEST = HERE / "fixtures_manifest.json"
MB = 1024 * 1024
LANG_TARGET = 5 * MB
FINEWEB2 = "HuggingFaceFW/fineweb-2"
FINEWEB2_CONFIGS = [
"hin_Deva", # Hindi, Devanagari
"ben_Beng", # Bengali
"tam_Taml", # Tamil
"rus_Cyrl", # Russian, Cyrillic
"arb_Arab", # Arabic (MSA), RTL
"heb_Hebr", # Hebrew, RTL
"jpn_Jpan", # Japanese, mixed kanji/kana
"kor_Hang", # Korean, Hangul
"cmn_Hani", # Mandarin, Han
"tha_Thai", # Thai, no word separators
"ell_Grek", # Greek
"kat_Geor", # Georgian
"amh_Ethi", # Amharic, Ethiopic
]
# the-stack-smol would be preferable but is gated; these are pinned-SHA GitHub
# tarballs instead, read in memory only (never extracted to disk).
CODE_REPOS = [
("python", "django/django", (".py",)),
("javascript", "jquery/jquery", (".js",)),
("typescript", "vuejs/core", (".ts",)),
("rust", "tokio-rs/tokio", (".rs",)),
("go", "caddyserver/caddy", (".go",)),
("java", "junit-team/junit5", (".java",)),
("c", "redis/redis", (".c", ".h")),
("cpp", "fmtlib/fmt", (".cc", ".h")),
]
CODE_SKIP_DIRS = ("deps/", "vendor/", "node_modules/", "third_party", "dist/")
_api = HfApi()
_shas: dict[str, str] = {}
def pinned_sha(repo: str) -> str:
if repo not in _shas:
_shas[repo] = _api.dataset_info(repo).sha
return _shas[repo]
def stream(repo: str, split: str = "train", **kw):
return load_dataset(repo, split=split, streaming=True, revision=pinned_sha(repo), **kw)
def fineweb2_docs(cfg: str):
try:
ds, split = stream(FINEWEB2, split="test", name=cfg), "test"
except Exception:
ds, split = stream(FINEWEB2, split="train", name=cfg), "train"
return (ex["text"] for ex in ds), {"config": cfg, "split": split}
def eng_docs():
ds = stream("HuggingFaceFW/fineweb", name="sample-10BT")
return (ex["text"] for ex in ds), {"config": "sample-10BT", "split": "train"}
def code_docs():
import tarfile
import urllib.request
per_lang = (6 * MB) // len(CODE_REPOS)
pins: dict[str, str] = {}
def head_sha(repo: str) -> str:
req = urllib.request.Request(
f"https://api.github.com/repos/{repo}/commits/HEAD",
headers={"Accept": "application/vnd.github.sha"},
)
with urllib.request.urlopen(req) as r:
return r.read().decode().strip()
def gen():
for lang, repo, exts in CODE_REPOS:
sha = head_sha(repo)
pins[repo] = sha
url = f"https://codeload.github.com/{repo}/tar.gz/{sha}"
got = 0
with urllib.request.urlopen(url) as r:
with tarfile.open(fileobj=r, mode="r|gz") as tar:
for member in tar:
if got >= per_lang:
break
path = member.name.lower()
if not member.isfile() or member.size > 200_000:
continue
if not path.endswith(exts) or any(d in path for d in CODE_SKIP_DIRS):
continue
text = tar.extractfile(member).read().decode("utf-8", errors="replace")
yield f"// {member.name}\n{text}"
got += len(text.encode("utf-8"))
# pins is filled while gen() runs; build() reads meta only after consuming docs
return gen(), {"revision": pins}
def math_docs():
ds = stream("open-web-math/open-web-math")
return (ex["text"] for ex in ds), {"split": "train"}
def agentic_docs():
# single-shard hf_hub_download instead of streaming: the 249MB shard's
# range-reads time out on unauthenticated connections
import pyarrow.parquet as pq
from huggingface_hub import hf_hub_download
repo = "SWE-bench/SWE-smith-trajectories"
shard = "data/tool-00000-of-00008.parquet"
path = hf_hub_download(repo, shard, repo_type="dataset", revision=pinned_sha(repo))
def rows():
pf = pq.ParquetFile(path)
for batch in pf.iter_batches(columns=["messages"], batch_size=8):
yield from batch.column("messages").to_pylist()
def render(content):
if isinstance(content, str):
return content
if isinstance(content, list):
return "\n".join(
b.get("text", json.dumps(b, ensure_ascii=False)) if isinstance(b, dict) else str(b)
for b in content
)
return json.dumps(content, ensure_ascii=False)
def gen():
for raw in rows():
parts = []
for msg in json.loads(raw):
block = f"[{msg.get('role', '?')}]\n{render(msg.get('content', ''))}"
if msg.get("tool_calls"):
block += "\n" + json.dumps(msg["tool_calls"], ensure_ascii=False)
parts.append(block)
yield "\n\n".join(parts)
return gen(), {"split": "tool", "config": shard}
FIXTURES: dict[str, dict] = {
cfg: {"source": FINEWEB2, "docs": (lambda c=cfg: fineweb2_docs(c)), "target": LANG_TARGET, "dir": "lang"}
for cfg in FINEWEB2_CONFIGS
}
FIXTURES["eng_Latn"] = {"source": "HuggingFaceFW/fineweb", "docs": eng_docs, "target": LANG_TARGET, "dir": "lang"}
FIXTURES["code_mixed"] = {"source": "github.com (pinned repo tarballs)", "docs": code_docs, "target": 6 * MB, "dir": "modalities"}
FIXTURES["math_latex"] = {"source": "open-web-math/open-web-math", "docs": math_docs, "target": LANG_TARGET, "dir": "modalities"}
FIXTURES["agentic_swe"] = {"source": "SWE-bench/SWE-smith-trajectories", "docs": agentic_docs, "target": LANG_TARGET, "dir": "modalities"}
def build(name: str, spec: dict) -> dict:
docs, meta = spec["docs"]()
out = HERE / spec["dir"] / f"{name}.txt"
out.parent.mkdir(exist_ok=True)
written = n_docs = 0
with open(out, "w", encoding="utf-8") as f:
for text in docs:
if not text or not text.strip():
continue
chunk = text.replace("\0", "").rstrip("\n") + "\n\n"
f.write(chunk)
written += len(chunk.encode("utf-8"))
n_docs += 1
if written >= spec["target"]:
break
if "revision" not in meta:
meta["revision"] = pinned_sha(spec["source"])
return {
"file": f"{spec['dir']}/{out.name}",
"source": spec["source"],
**meta,
"bytes": written,
"docs": n_docs,
"built_at": time.strftime("%Y-%m-%d", time.gmtime()),
"builder": Path(__file__).name,
}
def main() -> int:
names = sys.argv[1:] or list(FIXTURES)
unknown = [n for n in names if n not in FIXTURES]
if unknown:
print(f"unknown fixtures: {unknown}\navailable: {list(FIXTURES)}", file=sys.stderr)
return 2
manifest = json.loads(MANIFEST.read_text()) if MANIFEST.exists() else {}
failures = []
for name in names:
print(f"building {name} ...", flush=True)
try:
entry = build(name, FIXTURES[name])
except Exception as e:
print(f" FAILED {name}: {type(e).__name__}: {e}", file=sys.stderr, flush=True)
failures.append(name)
continue
manifest[name] = entry
MANIFEST.write_text(json.dumps(manifest, indent=2, sort_keys=True) + "\n")
print(f" {entry['bytes'] / MB:.1f} MB, {entry['docs']} docs", flush=True)
if failures:
print(f"failed: {failures}", file=sys.stderr)
return 1 if failures else 0
if __name__ == "__main__":
sys.exit(main())