Datasets:
File size: 2,950 Bytes
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dataset_info:
features:
- name: id
dtype: string
- name: entry_id
dtype: int64
- name: entry_heading
dtype: string
- name: context
dtype: string
- name: sense_id
dtype: int64
- name: candidates
list:
- name: sense_id
dtype: int64
- name: gloss
dtype: string
splits:
- name: train
num_bytes: 15904118
num_examples: 33231
- name: val
num_bytes: 3130154
num_examples: 6154
- name: test
num_bytes: 7058582
num_examples: 14979
download_size: 5792286
dataset_size: 26092854
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
- split: test
path: data/test-*
license: cc-by-4.0
pretty_name: Latvian WSD
---
# Latvian WSD
A manually annotated Latvian **word sense disambiguation (WSD)** dataset based on example sentences from the Latvian WordNet.
Each sentence is linked to a specific word sense. Lemmas with only a single sense are excluded. The dataset contains 1,821 lemmas and 5,459 unique senses.
## Data Format
Each example contains:
* `id`: instance identifier
* `entry_id`: entry identifier
* `entry_heading`: entry heading (lemma)
* `context`: sentence containing the target word
* `sense_id`: correct sense identifier
* `candidates`: list of candidate senses, each with:
* `sense_id`: candidate sense identifier
* `gloss`: sense definition
## Splits
The dataset is split by entry to avoid lexical overlap:
| Split | Lemmas | Instances |
| ---------- | -------- | ---------- |
| Train | 1121 | 33,231 |
| Validation | 200 | 6,154 |
| Test | 500 | 14,979 |
| **Total** | **1821** | **54,364** |
## Citation
```bibtex
@inproceedings{paikens-etal-2022-towards,
title = "Towards {L}atvian {W}ord{N}et",
author = "Paikens, Peteris and
Grasmanis, Mikus and
Klints, Agute and
Lokmane, Ilze and
Pretkalni{\c{n}}a, Lauma and
Rituma, Laura and
St{\={a}}de, Madara and
Strankale, Laine",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.300/",
pages = "2808--2815"
}
```
```bibtex
@inproceedings{znotins-2026-pretraining,
title = "Pretraining and Benchmarking Modern Encoders for {L}atvian",
author = "Znotins, Arturs",
booktitle = "Proceedings of the Second Workshop on Language Models for Low-Resource Languages ({L}o{R}es{LM} 2026)",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.loreslm-1.40/",
doi = "10.18653/v1/2026.loreslm-1.40",
pages = "461--470",
ISBN = "979-8-89176-377-7"
}
``` |