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--- |
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license: cc-by-4.0 |
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language: |
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- sr |
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pretty_name: Serbian WikiMedia dataset |
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size_categories: |
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- 100M<n<1B |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: |
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- SrpKorNews-1_sr.txt |
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- SrpKorNews-2_sr.txt |
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task_categories: |
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- text-generation |
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--- |
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# Highly curated, High-quality, Serbian news corpus |
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Each line represents document. |
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Each Sentence in a document is delimited. |
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Dataset contains Serbian news source articles which were post-processed and corrected both automatically and manually. |
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It contains around 468 million words. |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("jerteh/SrpKorNews") |
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``` |
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Preview: |
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```python |
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print(dataset["train"][3088]) |
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{'text': '"Srbija je dobro mesto za investicije i to bi trebalo iskoristiti, kako bi mladi ljudi imali dobru perspektivu", izjavio je tada Bufije na sastanku u Vizbadenu.'} |
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``` |
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Citation: |
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```bibtex |
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@Inbook{CvRS2023LRS, |
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author="Krstev, Cvetana and Stankovi{\'{c}}, Ranka", |
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editor="Rehm, Georg and Way, Andy", |
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title="Language Report Serbian", |
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bookTitle="European Language Equality: A Strategic Agenda for Digital Language Equality ", |
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year="2023", |
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publisher="Springer International Publishing", |
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address="Cham", |
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pages="203--206", |
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isbn="978-3-031-28819-7", |
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doi="10.1007/978-3-031-28819-7_32" |
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} |
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``` |
