metadata
language:
- zh
- en
license: other
license_name: upstream-code-licenses
license_link: >-
https://huggingface.co/datasets/yuyan-lang/codeparrot-github-code-chinese-translation-v1/blob/main/%E8%AE%B8%E5%8F%AF%E4%B8%8E%E6%9D%A5%E6%BA%90.md
size_categories:
- 100M<n<1B
task_categories:
- text-generation
pretty_name: CodeParrot Chinese Dictionary Substitution v1
configs:
- config_name: default
data_files:
- split: train
path: 数据/*.parquet
CodeParrot GitHub Code Chinese Translation v1
Deterministic dictionary substitution, not LLM translation. Natural Chinese fluency, semantic equivalence and executable code are not guaranteed.
Release v1: All 1,126 shards have been uploaded. Remote shard counts and byte sizes match the local manifest; see 发布状态.json.
English algorithm · 现代汉语 · 先秦文言
Load / 使用
from datasets import load_dataset
stream = load_dataset("yuyan-lang/codeparrot-github-code-chinese-translation-v1", streaming=True, split="train")
row = next(iter(stream))
print(row["content_中文"])
Original English columns are retained alongside Chinese derivatives. Only the three translated columns aim to eliminate ASCII alphabetic characters; the dataset as a whole contains English.
See validation, shard mapping, provenance and licenses, and the reproducible source under 程序/. The three algorithm documents describe the final implementation; historical LLM experiments are background only.