Datasets:
Transformers EN-KO Aligned Docs
This dataset package contains English-Korean aligned text pairs derived from the docs/source/en and docs/source/ko trees in huggingface/transformers.
Repository layout
data/: published dataset splits onlymetadata/: filtering, blacklist, and build-status artifactsdocs/: agent harness and dataset construction notesAGENTS.md: short Codex entry point for this dataset repo
Contents
data/train.jsonl: final training split with manually reviewed blacklist applieddata/validation_clean.jsonl: clean validation split sampled by document from the final training setdata/stress_test_contaminated.jsonl: document pairs excluded from training because they contained alignment or contamination issuesmetadata/blacklist.txt: documents manually excluded after reviewmetadata/doc_split.csv: document-level clean vs contaminated splitmetadata/rejected_docs.csv: rejected-document summary with reasonsmetadata/build_status.json: machine-readable build summarydocs/translation_dataset_harness.md: detailed harness and review policydocs/dataset_methodology.md: concise build and usage notes
Row counts
- train rows: 76
- validation rows: 5
- stress-test rows: 880
- blacklist docs: 13
Schema
Each JSONL row contains:
relative_pathchunk_idtexttargetsource_charstarget_chars
Build notes
- source repository:
huggingface/transformers - source commit used locally:
ce7efd8f19 - alignment method: markdown normalization, one-sided metadata removal, conservative block-level alignment, document rejection for structural mismatch, and manual blacklist
- preprocessing note: the current exported dataset was built with an earlier cleanup-heavy pipeline, but the harness now recommends preserving headings and code-block structure during alignment and cleaning more aggressively only at export time
Intended use
train.jsonlis the conservative split intended for fine-tuning.validation_clean.jsonlis the clean validation split for model selection.stress_test_contaminated.jsonlis not a gold benchmark. It is a stress-test set containing documents that were rejected from training because alignment looked unreliable.
Limitations
- The dataset is partially automatically aligned and then manually filtered.
- Some original docs are localized or rewritten rather than directly translated, and those files should not be treated as parallel data.
- Review the blacklist and rejected reports before using this dataset for evaluation claims.
Source and attribution
Original documentation content comes from the Hugging Face Transformers repository:
- English:
docs/source/en - Korean:
docs/source/ko
Before publishing publicly, verify that your redistribution plan matches the upstream repository license and your intended use.
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