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tartuNLP/Estonian_Subjectivity

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Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at f856989
Licence files: No licence file at the top level of the repositoryEvidence: file list at f856989
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

text-classification

Citation text from the card

When using this dataset, please cite it as:

```
@inproceedings{gailit-etal-2026-creation,
  title = {Creation of the Estonian Subjectivity Dataset: Assessing the Degree of Subjectivity on a Scale},
  author = {Gailit, Karl Gustav and Muischnek, Kadri and Sirts, Kairit},
  booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},
  month = {May},
  year = {2026},
  pages = {8204--8216},
  address = {Palma, Mallorca, Spain},
  publisher = {European Language Resources Association (ELRA)},
  editor = {Piperidis, Stelios and Bel, Núria and van den Heuvel, Henk and Ide, Nancy and Krek, Simon and Toral, Antonio},
  doi = {10.63317/35rspcvi32vp},
  abstract = {This article presents the creation of an Estonian-language dataset for document-level subjectivity, analyzes the resulting annotations, and reports an initial experiment of automatic subjectivity analysis using a large language model (LLM). The dataset comprises of 1,000 documents—300 journalistic articles and 700 randomly selected web texts—each rated for subjectivity on a continuous scale from 0 (fully objective) to 100 (fully subjective) by four annotators. As the inter-annotator correlations were moderate, with some texts receiving scores at the opposite ends of the scale, a subset of texts with the most divergent scores was re-annotated, with the inter-annotator correlation improving. In addition to human annotations, the dataset includes scores generated by GPT-5 as an experimen

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dataset_licence({ "id": "tartuNLP/Estonian_Subjectivity" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0