Datasets:
cjvt
/

Languages:
Slovenian
Size:
n<1K
License:
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@@ -42,4 +42,125 @@ dataset_info:
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  num_examples: 756
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  download_size: 21892324
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  dataset_size: 21547216
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  num_examples: 756
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  download_size: 21892324
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  dataset_size: 21547216
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+ license: cc-by-sa-4.0
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+ language:
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+ - sl
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+ pretty_name: SentiCoref
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+ size_categories:
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+ - n<1K
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  ---
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+
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+ # Dataset card for SentiCoref
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+
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+ ### Usage
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+ ```
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+ import datasets
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+ data = datasets.load_dataset("cjvt/senticoref", trust_remote_code=True)
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+ ```
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+
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+ ### Dataset Summary
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+ The dataset contains the SentiCoref corpus, annotated for coreference. It is part of the SUK training bundle of corpora.
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+ For more details please check the paper or the [Clarin repository](http://hdl.handle.net/11356/1959) from which this dataset is being loaded.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ ```
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+ {
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+ 'id_doc': 'senticoref1',
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+ 'words': [
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+ [
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+ ['Evropska', 'komisija', 'mora', 'narediti', 'analizo', 'vzrokov', 'rasti', 'cen', 'hrane', ',', 'menita', 'kmetijski', 'minister', 'Jarc', 'in', 'njegov', 'francoski', 'kolega', '.'],
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+ ['Bo', 'evropska', 'komisija', 'analizirala', 'vzroke', 'rasti', 'cen', 'hrane', '.'],
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+ ...
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+ ],
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+ ...
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+ ],
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+ 'lemmas': [
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+ [
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+ ['evropski', 'komisija', 'morati', 'narediti', 'analiza', 'vzrok', 'rast', 'cena', 'hrana', ',', 'meniti', 'kmetijski', 'minister', 'Jarc', 'in', 'njegov', 'francoski', 'kolega', '.'],
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+ ['biti', 'evropski', 'komisija', 'analizirati', 'vzrok', 'rast', 'cena', 'hrana', '.'],
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+ ...
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+ ]
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+ ],
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+ 'msds': [
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+ [
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+ ['mte:Ppnzei', 'mte:Sozei', 'mte:Ggnste', 'mte:Ggdn', 'mte:Sozet', 'mte:Sommr', 'mte:Sozer', 'mte:Sozmr', 'mte:Sozer', 'mte:U', 'mte:Ggnstd', 'mte:Ppnmeid', 'mte:Somei', 'mte:Slmei', 'mte:Vp', 'mte:Zstmeiem', 'mte:Ppnmeid', 'mte:Somei', 'mte:U'],
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+ ['mte:Gp-pte-n', 'mte:Ppnzei', 'mte:Sozei', 'mte:Ggvd-ez', 'mte:Sommt', 'mte:Sozer', 'mte:Sozmr', 'mte:Sozer', 'mte:U'],
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+ ...
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+ ],
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+ ...
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+ ],
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+ 'ne_tags': [
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+ [
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+ ['B-ORG', 'I-ORG', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'B-PER', 'O', 'O', 'O', 'O', 'O'],
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+ ['O', 'B-ORG', 'I-ORG', 'O', 'O', 'O', 'O', 'O', 'O'],
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+ ...
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+ ],
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+ ...
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+ ],
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+ 'mentions': [
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+ {'id_mention': 'senticoref1.1.1.ne1', 'mention_data': {'idx_par': 0, 'idx_sent': 0, 'word_indices': [0, 1], 'global_word_indices': [0, 1]}},
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+ ...
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+ ],
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+ 'coref_clusters': [
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+ ['senticoref1.1.1.ne1', 'senticoref1.1.2.ne1', 'senticoref1.1.3.ne1'],
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+ ['senticoref1.1.1.phr52-1', 'senticoref1.1.3.phr52-2', 'senticoref1.1.11.phr52-3'],
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+ ['senticoref1.1.1.t5', 'senticoref1.1.3.t6', 'senticoref1.1.11.t11', 'senticoref1.1.11.t17'],
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+ ['senticoref1.1.1.phr13-1', 'senticoref1.1.2.phr13-2'],
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+ ...
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+ ]
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ - `id_doc`: a string ID of the document (corresponds to file name in this case);
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+ - `words`: a `List[List[List[String]]]` containing document words;
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+ - `lemmas`: a `List[List[List[String]]]` containing document lemmas;
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+ - `msds`: a `List[List[List[String]]]` containing document morphosyntactic features, encoded using MULTEXT-East V6;
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+ - `ne_tags`: a `List[List[List[String]]]` containing document named entity tags, encoded using IOB2 scheme;
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+ - `mentions`: a list of dicts for each mention. Each mention contains an ID (`id_mention`) and
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+ positions of words inside mention (determined by `idx_sent`, `word_indices`;
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+ or equivalently `global_word_indices` if sentences are flattened into a single list)
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+ - `coref_clusters`: a list of lists of strings containing mention IDs contained inside each coreference cluster.
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ Špela Arhar Holdt; et al. (please see http://hdl.handle.net/11356/1959 for the full list of contributors)
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+
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+ ### Licensing Information
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+
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+ CC BY-SA 4.0
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+
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+ ### Citation Information
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+
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+ ```
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+ @article{senticoref-paper,
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+ title={Neural coreference resolution for Slovene language},
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+ author={Matej Klemen and Slavko Žitnik},
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+ journal={Computer Science and Information Systems},
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+ year={2022},
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+ volume={19},
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+ pages={495-521}
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+ }
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+ ```
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+
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+ ```
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+ @misc{suk-clarin,
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+ title = {Training corpus {SUK} 1.1},
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+ author = {Arhar Holdt, {\v S}pela and Krek, Simon and Dobrovoljc, Kaja and Erjavec, Toma{\v z} and Gantar, Polona and {\v C}ibej, Jaka and Pori, Eva and Ter{\v c}on, Luka and Munda, Tina and {\v Z}itnik, Slavko and Robida, Nejc and Blagus, Neli and Mo{\v z}e, Sara and Ledinek, Nina and Holz, Nanika and Zupan, Katja and Kuzman, Taja and Kav{\v c}i{\v c}, Teja and {\v S}krjanec, Iza and Marko, Dafne and Jezer{\v s}ek, Lucija and Zajc, Anja},
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+ url = {http://hdl.handle.net/11356/1959},
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+ note = {Slovenian language resource repository {CLARIN}.{SI}},
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+ copyright = {Creative Commons - Attribution-{ShareAlike} 4.0 International ({CC} {BY}-{SA} 4.0)},
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+ issn = {2820-4042},
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+ year = {2024}
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+ }
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+ ```
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+
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+ ### Contributions
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+
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+ Thanks to [@matejklemen](https://github.com/matejklemen) for adding this dataset.