Document-level Chinese machine-generated-text detection data, plus English renderings of paired Chinese Wikipedia articles, plus 17 demonstration cases. Counts below are measured on this release. There is no train/test split in the files.
Dataset Card
Document-level Chinese machine-generated-text detection data, plus English renderings of paired Chinese Wikipedia articles, plus 17 demonstration cases. Counts below are measured on this release. There is no train/test split in the files. The full split is the whole release. A paper may describe a document-level 9:1 protocol; the seed is not stored here, so this repository does not invent one. Filter with the subset column. News CJK totals: human 103,787,963; AI 243,603,638. Wiki-Claude CJK totals: human 8,115,726; AI 2,877,254. Literary works, translations, news articles, and the paper excerpt in examples remain under their original copyright. See LICENSE. The repository is gated. Agree to…
Excerpt from the card by shengjieXu, licensed other.
Details
- Repository
- layce/giantmelon-zh
- Publisher
- shengjieXu
- Task category
- Text classification
- Tags
- machine-generated-text-detection, chinese
- Size category
- 100K<n<1M
- Languages
- zh, en
- Revision
- 0ff307dc852b1540095bc35a3d1e1a665645355a
- Last updated
- 2026-09-25
Files
11 files, 628.2 MB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| data/shard-0000.parquet | Data | 73.8 MB | — |
| data/shard-0001.parquet | Data | 75.7 MB | — |
| data/shard-0002.parquet | Data | 79.7 MB | — |
| data/shard-0003.parquet | Data | 84.9 MB | — |
| data/shard-0004.parquet | Data | 85.9 MB | — |
| data/shard-0005.parquet | Data | 80.4 MB | — |
| data/shard-0006.parquet | Data | 83.9 MB | — |
| data/shard-0007.parquet | Data | 63.7 MB | — |
| LICENSE | Documentation | 1.8 KB | — |
| README.md | Documentation | 4.3 KB | — |
| .gitattributes | Repository | 2.5 KB | — |
License and Download
- License
- other
- Access
- Access requested at publisher
shengjieXu grants access through its official repository on Hugging Face.