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c7893fa | 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 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | """Minimal Hugging Face Hub file access for the data pipeline.
We download individual files (parquet / jsonl / csv) with `hf_hub_download` instead of
`datasets.load_dataset`: it lets us fetch only the splits we need (keeps downloads small),
avoids the duplicate Arrow cache, and works for script-based repos through their
`refs/convert/parquet` branch. Files land in the default HF hub cache.
"""
from __future__ import annotations
import gzip
import io
import json
import zipfile
import pandas as pd
from huggingface_hub import hf_hub_download
def fetch(repo: str, filename: str, revision: str | None = None) -> str:
return hf_hub_download(repo, filename, repo_type="dataset", revision=revision)
def read_rows(repo: str, filename: str, revision: str | None = None, **kw) -> list[dict]:
"""Download one data file and return its rows as dicts."""
path = fetch(repo, filename, revision)
name = filename.lower()
if name.endswith(".parquet"):
df = pd.read_parquet(path)
elif name.endswith((".jsonl", ".jsonl.gz")) or (name.endswith(".json") and kw.pop("lines", True)):
opener = gzip.open if name.endswith(".gz") else open
with opener(path, "rt", encoding="utf-8") as f:
return [json.loads(line) for line in f if line.strip()]
elif name.endswith(".csv"):
df = pd.read_csv(path, **kw)
elif name.endswith(".tsv"):
df = pd.read_csv(path, sep="\t", **kw)
else:
raise ValueError(f"unsupported file type: {filename}")
return df.to_dict("records")
def read_many(repo: str, filenames: list[str], revision: str | None = None, **kw) -> list[dict]:
rows: list[dict] = []
for fn in filenames:
rows.extend(read_rows(repo, fn, revision, **dict(kw)))
return rows
def read_zip_member(repo: str, filename: str, member: str, encoding: str = "latin-1") -> str:
path = fetch(repo, filename)
with zipfile.ZipFile(path) as z:
return z.read(member).decode(encoding)
__all__ = ["fetch", "read_rows", "read_many", "read_zip_member", "io"]
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