wangekxy's picture
Publish/update Classical TCM Canon
3bb4690 verified
|
Raw
History Blame Contribute Delete
3.27 kB
---
license: other
license_name: commercial-paid
language:
- lzh
- zh
pretty_name: Classical Chinese Punctuation Restoration (文言文断句·标点) Commercial
task_categories:
- text-generation
- token-classification
tags:
- classical-chinese
- 文言文
- punctuation-restoration
- 句读
- sft
- instruction-tuning
- commercial-dataset
size_categories:
- 1M<n<10M
configs:
- config_name: sample
data_files: sample.jsonl
---
# Classical Chinese Punctuation Restoration · 文言文断句·标点 💰 (Commercial Dataset)
> **This is a commercial dataset.** A free **200-record sample** is provided below
> (`sample.jsonl`); the **full 5.3M-pair corpus is available upon request**.
>
> 📧 **To license / purchase or request a quote, email `wangeksy@gmail.com`.**
> ✅ Cleared for **commercial use** — built from public-domain classical works.
## The task
Restore punctuation and sentence segmentation (句读) to unpunctuated Classical
Chinese — a capability current LLMs perform poorly and inconsistently. Each record
is an auto-verifiable supervised pair: the `input` is unpunctuated hanzi, the
`output` is the same text with gold punctuation.
```json
{"task":"punctuate_classical_chinese",
"instruction":"为下面的文言文断句并加上标点。",
"input":"韩信之后也当淮阴钟室难作之时有客匿其孤求抚于萧相国…",
"output":"韩信之后也。当淮阴钟室难作之时,有客匿其孤,求抚于萧相国…",
"title":"坚瓠集","dynasty":"清","author":"褚人获","canon":"子藏"}
```
## What you get (full set)
- **5,314,004 supervised pairs** across 10 canons of classical Chinese (history,
philosophy, poetry, religion, medicine, arts), spanning the 汉–清 dynasties.
- Train / validation / test splits, plus an **81,929-pair held-out evaluation set**
(contamination-controlled; licensed separately).
- Per-work attribution: `title`, `dynasty`, `author`, `canon`.
- Parquet (zstd) shards, one per canon. See `CONTENTS.md` for the full breakdown.
## Why it is high quality
- **Auto-verifiable labels.** Each `input` is produced by *stripping* an
authoritative edition's punctuation from the `output`, so `input == output`
minus punctuation by construction (QC: 0 mismatches). No second LLM touches the
labels — clean provenance, no synthetic distillation.
- **Leakage-controlled.** Split **by work**, not by passage. Mojibake-rejected,
punctuation-density filtered, globally de-duplicated; cross-canon duplicate works
collapsed to one canonical copy.
## This repo (listing)
Public **200-record sample** only (`sample.jsonl`). The full corpus, per-canon
shards, and held-out eval are delivered on purchase. Payment and delivery are
handled off-platform — **email `wangeksy@gmail.com`**.
## Provenance & rights
Base texts are public-domain classical works (汉–清). An editorial-rights-clean,
**independently re-punctuated** tier (labels produced from the public-domain text
without any third-party 整理本) is available on request for redistribution use cases.
## Related
Companion commercial datasets from the same corpus: **校勘 Variant Collation**
(aligned recensions) and an expert-graded **文言→白话 Translation + QA evaluation**
set. Email for the catalog.