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The Hugging Face NLP Course has a Traditional Chinese (zh-TW) translation at huggingface/course covering Chapters 0–9. The course MDX files embed "Open in Colab" and "Open in AWS Studio" badges that link to language-specific notebooks under course/<lang>/.
Goal: Create zh-TW versions of all 60 notebooks in the English canonical source, translating directly from English to Traditional Chinese across Chapters 1–11.
Current state:
PR #625 (open) adds the first 2 zh-TW notebooks for Chapter 1.
Chapters 1–6 zh-TW MDX files currently link to course/zh-CN/ paths — these must also be updated in huggingface/course to point to the new course/zh-TW/ paths once notebooks are created.
Chapters 7–9 zh-TW MDX files link to language-neutral course/chapter*/ paths — these must similarly be updated.
Chapters 10–11 zh-TW MDX translation does not yet exist.
This issue tracks all notebook work across three phases. All notebooks are translated from the English source (course/en/).
Scope
Phase
Chapters
Notebooks
Prerequisite
1 (immediate)
1–6
31 total (29 remaining)
Also update zh-TW MDX links in huggingface/course
2 (future)
7–9
23
Also update zh-TW MDX links in huggingface/course
3 (future)
10–11
6
zh-TW MDX translation first
Total
60
Phase 1 — Chapters 1–6 (immediate)
Source: copy the corresponding course/en/ notebook → course/zh-TW/, translate all Markdown cells to Traditional Chinese.
Companion PR needed: after notebooks merge, open a PR in huggingface/course to update the notebooks={…} URLs in the zh-TW MDX files from zh-CN paths to the new zh-TW paths.
Source: copy the corresponding course/en/ notebook → course/zh-TW/, translate all Markdown cells to Traditional Chinese.
Companion PR needed: after notebooks merge, open a PR in huggingface/course to update the notebooks={…} URLs in the zh-TW MDX files from language-neutral paths to the new course/zh-TW/ paths.
Pick one or more unchecked notebooks from Phase 1 or 2. Phase 3 is blocked until the zh-TW MDX for Chapters 10–11 is translated in huggingface/course first.
Copy course/en/<path> → course/zh-TW/<path>.
Translate all Markdown cells from English to Traditional Chinese. Code and output cells are unchanged.
Open a PR targeting main. Batching multiple notebooks from the same chapter in one PR is encouraged (see PR updated readme with typo fix #625 as a model).
After the notebook PR merges, open a follow-up PR in huggingface/course to update the notebooks={…} URLs in the zh-TW MDX files to point to the new course/zh-TW/ paths.
Summary
The Hugging Face NLP Course has a Traditional Chinese (zh-TW) translation at
huggingface/coursecovering Chapters 0–9. The course MDX files embed "Open in Colab" and "Open in AWS Studio" badges that link to language-specific notebooks undercourse/<lang>/.Goal: Create zh-TW versions of all 60 notebooks in the English canonical source, translating directly from English to Traditional Chinese across Chapters 1–11.
Current state:
course/zh-CN/paths — these must also be updated inhuggingface/courseto point to the newcourse/zh-TW/paths once notebooks are created.course/chapter*/paths — these must similarly be updated.This issue tracks all notebook work across three phases. All notebooks are translated from the English source (
course/en/).Scope
huggingface/coursehuggingface/coursePhase 1 — Chapters 1–6 (immediate)
Source: copy the corresponding
course/en/notebook →course/zh-TW/, translate all Markdown cells to Traditional Chinese.Companion PR needed: after notebooks merge, open a PR in
huggingface/courseto update thenotebooks={…}URLs in the zh-TW MDX files fromzh-CNpaths to the newzh-TWpaths.Chapter 1 — Transformer Models (2 notebooks)
course/zh-TW/chapter1/section3.ipynb— ✅ PR updated readme with typo fix #625course/zh-TW/chapter1/section8.ipynb— ✅ PR updated readme with typo fix #625Chapter 2 — Using 🤗 Transformers (5 notebooks)
course/zh-TW/chapter2/section2_pt.ipynb(source:course/en/chapter2/section2_pt.ipynb)course/zh-TW/chapter2/section3_pt.ipynb(source:course/en/chapter2/section3_pt.ipynb)course/zh-TW/chapter2/section4_pt.ipynb(source:course/en/chapter2/section4_pt.ipynb)course/zh-TW/chapter2/section5_pt.ipynb(source:course/en/chapter2/section5_pt.ipynb)course/zh-TW/chapter2/section6_pt.ipynb(source:course/en/chapter2/section6_pt.ipynb)Chapter 3 — Fine-tuning a Pretrained Model (4 notebooks)
course/zh-TW/chapter3/section2.ipynb(source:course/en/chapter3/section2.ipynb)course/zh-TW/chapter3/section3.ipynb(source:course/en/chapter3/section3.ipynb)course/zh-TW/chapter3/section4.ipynb(source:course/en/chapter3/section4.ipynb)course/zh-TW/chapter3/section7.ipynb(source:course/en/chapter3/section7.ipynb)Chapter 4 — Sharing Models and Tokenizers (4 notebooks)
course/zh-TW/chapter4/section2_pt.ipynb(source:course/en/chapter4/section2_pt.ipynb)course/zh-TW/chapter4/section2_tf.ipynb(source:course/en/chapter4/section2_tf.ipynb)course/zh-TW/chapter4/section3_pt.ipynb(source:course/en/chapter4/section3_pt.ipynb)course/zh-TW/chapter4/section3_tf.ipynb(source:course/en/chapter4/section3_tf.ipynb)Chapter 5 — 🤗 Datasets Library (6 notebooks)
course/zh-TW/chapter5/section2.ipynb(source:course/en/chapter5/section2.ipynb)course/zh-TW/chapter5/section3.ipynb(source:course/en/chapter5/section3.ipynb)course/zh-TW/chapter5/section4.ipynb(source:course/en/chapter5/section4.ipynb)course/zh-TW/chapter5/section5.ipynb(source:course/en/chapter5/section5.ipynb)course/zh-TW/chapter5/section6_pt.ipynb(source:course/en/chapter5/section6_pt.ipynb)course/zh-TW/chapter5/section6_tf.ipynb(source:course/en/chapter5/section6_tf.ipynb)Chapter 6 — 🤗 Tokenizers Library (10 notebooks)
course/zh-TW/chapter6/section2.ipynb(source:course/en/chapter6/section2.ipynb)course/zh-TW/chapter6/section3_pt.ipynb(source:course/en/chapter6/section3_pt.ipynb)course/zh-TW/chapter6/section3_tf.ipynb(source:course/en/chapter6/section3_tf.ipynb)course/zh-TW/chapter6/section3b_pt.ipynb(source:course/en/chapter6/section3b_pt.ipynb)course/zh-TW/chapter6/section3b_tf.ipynb(source:course/en/chapter6/section3b_tf.ipynb)course/zh-TW/chapter6/section4.ipynb(source:course/en/chapter6/section4.ipynb)course/zh-TW/chapter6/section5.ipynb(source:course/en/chapter6/section5.ipynb)course/zh-TW/chapter6/section6.ipynb(source:course/en/chapter6/section6.ipynb)course/zh-TW/chapter6/section7.ipynb(source:course/en/chapter6/section7.ipynb)course/zh-TW/chapter6/section8.ipynb(source:course/en/chapter6/section8.ipynb)Phase 2 — Chapters 7–9 (future)
Source: copy the corresponding
course/en/notebook →course/zh-TW/, translate all Markdown cells to Traditional Chinese.Companion PR needed: after notebooks merge, open a PR in
huggingface/courseto update thenotebooks={…}URLs in the zh-TW MDX files from language-neutral paths to the newcourse/zh-TW/paths.Chapter 7 — Main NLP Tasks (12 notebooks)
course/zh-TW/chapter7/section2_pt.ipynb(source:course/en/chapter7/section2_pt.ipynb)course/zh-TW/chapter7/section2_tf.ipynb(source:course/en/chapter7/section2_tf.ipynb)course/zh-TW/chapter7/section3_pt.ipynb(source:course/en/chapter7/section3_pt.ipynb)course/zh-TW/chapter7/section3_tf.ipynb(source:course/en/chapter7/section3_tf.ipynb)course/zh-TW/chapter7/section4_pt.ipynb(source:course/en/chapter7/section4_pt.ipynb)course/zh-TW/chapter7/section4_tf.ipynb(source:course/en/chapter7/section4_tf.ipynb)course/zh-TW/chapter7/section5_pt.ipynb(source:course/en/chapter7/section5_pt.ipynb)course/zh-TW/chapter7/section5_tf.ipynb(source:course/en/chapter7/section5_tf.ipynb)course/zh-TW/chapter7/section6_pt.ipynb(source:course/en/chapter7/section6_pt.ipynb)course/zh-TW/chapter7/section6_tf.ipynb(source:course/en/chapter7/section6_tf.ipynb)course/zh-TW/chapter7/section7_pt.ipynb(source:course/en/chapter7/section7_pt.ipynb)course/zh-TW/chapter7/section7_tf.ipynb(source:course/en/chapter7/section7_tf.ipynb)Chapter 8 — How to Ask for Help (5 notebooks)
course/zh-TW/chapter8/section2.ipynb(source:course/en/chapter8/section2.ipynb)course/zh-TW/chapter8/section3.ipynb(source:course/en/chapter8/section3.ipynb)course/zh-TW/chapter8/section4.ipynb(source:course/en/chapter8/section4.ipynb)course/zh-TW/chapter8/section4_tf.ipynb(source:course/en/chapter8/section4_tf.ipynb)course/zh-TW/chapter8/section5.ipynb(source:course/en/chapter8/section5.ipynb)Chapter 9 — Building and Sharing Your Model (6 notebooks)
course/zh-TW/chapter9/section2.ipynb(source:course/en/chapter9/section2.ipynb)course/zh-TW/chapter9/section3.ipynb(source:course/en/chapter9/section3.ipynb)course/zh-TW/chapter9/section4.ipynb(source:course/en/chapter9/section4.ipynb)course/zh-TW/chapter9/section5.ipynb(source:course/en/chapter9/section5.ipynb)course/zh-TW/chapter9/section6.ipynb(source:course/en/chapter9/section6.ipynb)course/zh-TW/chapter9/section7.ipynb(source:course/en/chapter9/section7.ipynb)Phase 3 — Chapters 10–11 (future: requires MDX translation first)
zh-TW MDX files for Chapters 10–11 do not yet exist. Notebooks can only be added after the course MDX is translated in
huggingface/course.Source: copy the corresponding
course/en/notebook →course/zh-TW/, translate all Markdown cells to Traditional Chinese.Chapter 10 (3 notebooks)
course/zh-TW/chapter10/section2.ipynb(source:course/en/chapter10/section2.ipynb)course/zh-TW/chapter10/section3.ipynb(source:course/en/chapter10/section3.ipynb)course/zh-TW/chapter10/section5.ipynb(source:course/en/chapter10/section5.ipynb)Chapter 11 (3 notebooks)
course/zh-TW/chapter11/section2.ipynb(source:course/en/chapter11/section2.ipynb)course/zh-TW/chapter11/section3.ipynb(source:course/en/chapter11/section3.ipynb)course/zh-TW/chapter11/section4.ipynb(source:course/en/chapter11/section4.ipynb)Background — how notebook links work in the course
Each interactive section embeds a
<CourseFloatingBanner>component:Until the zh-TW notebooks exist, Phase 1 links 404 and Phase 2 links point to the wrong language.
Translation guidelines
chapters/zh-TW/are the authoritative terminology reference.Related
How to contribute
huggingface/coursefirst.course/en/<path>→course/zh-TW/<path>.main. Batching multiple notebooks from the same chapter in one PR is encouraged (see PR updated readme with typo fix #625 as a model).huggingface/courseto update thenotebooks={…}URLs in the zh-TW MDX files to point to the newcourse/zh-TW/paths.