Datasets:
metadata
license: cc-by-sa-4.0
task_categories:
- token-classification
task_ids:
- parsing
- part-of-speech
- lemmatization
language:
- vi
annotations_creators:
- machine-generated
language_creators:
- found
multilinguality:
- monolingual
source_datasets:
- undertheseanlp/UTS_VLC
- undertheseanlp/UVN-1
size_categories:
- 10K<n<100K
tags:
- universal-dependencies
- vietnamese
- nlp
- dependency-parsing
- pos-tagging
UDD-1: Universal Dependency Dataset for Vietnamese
Dataset Description
Vietnamese Universal Dependency dataset created by Underthesea NLP. This dataset follows the Universal Dependencies annotation guidelines.
Dataset Summary
- Language: Vietnamese (vi)
- Version: 1.1
- Domains: ⚖️ Legal (Laws) + 📰 News
- Total Sentences: 20,000
- Total Tokens: ~453,551
- Annotation: Machine-generated using Underthesea NLP toolkit
Data Sources
| Source | Domain | Sentences | Tokens |
|---|---|---|---|
| UTS_VLC | ⚖️ Legal | 10,000 | ~230,709 |
| UVN-1 | 📰 News | 10,000 | ~222,842 |
| Total | 20,000 | ~453,551 |
Data Splits
Following UD guidelines:
| Split | Sentences | Percentage |
|---|---|---|
| Train | 18,282 | 91.4% |
| Validation | 859 | 4.3% |
| Test | 859 | 4.3% |
| Total | 20,000 | 100% |
Usage
from datasets import load_dataset
# Load all splits
dataset = load_dataset("undertheseanlp/UDD-1")
print(dataset)
# Access specific split
train_data = dataset["train"]
dev_data = dataset["validation"]
test_data = dataset["test"]
# Example sentence
print(train_data[0])
Sentence ID Prefixes
s*- Sentences from legal corpus (UTS_VLC)uvn-*- Sentences from news corpus (UVN-1)
Fields
| Field | Description |
|---|---|
sent_id |
Sentence identifier |
text |
Original sentence text |
tokens |
Word tokens |
lemmas |
Lemmatized forms |
upos |
Universal POS tags |
xpos |
Language-specific POS tags |
feats |
Morphological features |
head |
Head token indices (1-indexed, 0=root) |
deprel |
Dependency relation labels |
deps |
Enhanced dependencies |
misc |
Miscellaneous annotations |
Citation
@misc{underthesea_udd1_2026,
title = {UDD-1: Universal Dependency Dataset for Vietnamese},
author = {Underthesea NLP},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/undertheseanlp/UDD-1}
}
License
This dataset is licensed under CC BY-SA 4.0.
Contact
- GitHub: undertheseanlp/underthesea
- Email: anhv.ict91@gmail.com