--- 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" } ```