Datasets:

cjvt
/

sentinews

{"document_level": {"description": "SentiNews is a Slovenian sentiment classification dataset, consisting of news articles manually annotated with their \nsentiment by between 2 and 6 annotators. The news articles contain political, business, economic and financial content \nfrom the Slovenian news portals 24ur, Dnevnik, Finance, Rtvslo, and \u017durnal24. The texts were annotated using the \nfive-level Lickert scale (1 \u2013 very negative, 2 \u2013 negative, 3 \u2013 neutral, 4 \u2013 positive, and 5 \u2013 very positive) on three \nlevels of granularity, i.e. on the document, paragraph, and sentence level. The final sentiment is determined using \nthe following criterion: negative (if average of scores \u2264 2.4); neutral (if average of scores is between 2.4 and 3.6); \npositive (average of annotated scores \u2265 3.6).\n", "citation": "@article{buvcar2018annotated, \n title={Annotated news corpora and a lexicon for sentiment analysis in Slovene}, \n author={Bu{\u000b{c}}ar, Jo{\u000b{z}}e and {\u000b{Z}}nidar{\u000b{s}}i{\u000b{c}}, Martin and Povh, Janez}, \n journal={Language Resources and Evaluation}, \n volume={52}, \n number={3}, \n pages={895--919}, \n year={2018}, \n publisher={Springer}\n}\n", "homepage": "https://github.com/19Joey85/Sentiment-annotated-news-corpus-and-sentiment-lexicon-in-Slovene/", "license": "Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)", "features": {"nid": {"dtype": "uint16", "id": null, "_type": "Value"}, "content": {"dtype": "string", "id": null, "_type": "Value"}, "sentiment": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "content", "output": "sentiment"}, "task_templates": null, "builder_name": "sentinews", "config_name": "document_level", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 21726849, "num_examples": 10427, "dataset_name": "sentinews"}}, "download_checksums": {"https://www.clarin.si/repository/xmlui/bitstream/handle/11356/1110/SentiNews_document-level.txt": {"num_bytes": 23755522, "checksum": "060fe71d719d79e3bcba335abfc146485fa2f3568b5cc1245bd694834d77190c"}}, "download_size": 23755522, "post_processing_size": null, "dataset_size": 21726849, "size_in_bytes": 45482371}, "paragraph_level": {"description": "SentiNews is a Slovenian sentiment classification dataset, consisting of news articles manually annotated with their \nsentiment by between 2 and 6 annotators. The news articles contain political, business, economic and financial content \nfrom the Slovenian news portals 24ur, Dnevnik, Finance, Rtvslo, and \u017durnal24. The texts were annotated using the \nfive-level Lickert scale (1 \u2013 very negative, 2 \u2013 negative, 3 \u2013 neutral, 4 \u2013 positive, and 5 \u2013 very positive) on three \nlevels of granularity, i.e. on the document, paragraph, and sentence level. The final sentiment is determined using \nthe following criterion: negative (if average of scores \u2264 2.4); neutral (if average of scores is between 2.4 and 3.6); \npositive (average of annotated scores \u2265 3.6).\n", "citation": "@article{buvcar2018annotated, \n title={Annotated news corpora and a lexicon for sentiment analysis in Slovene}, \n author={Bu{\u000b{c}}ar, Jo{\u000b{z}}e and {\u000b{Z}}nidar{\u000b{s}}i{\u000b{c}}, Martin and Povh, Janez}, \n journal={Language Resources and Evaluation}, \n volume={52}, \n number={3}, \n pages={895--919}, \n year={2018}, \n publisher={Springer}\n}\n", "homepage": "https://github.com/19Joey85/Sentiment-annotated-news-corpus-and-sentiment-lexicon-in-Slovene/", "license": "Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)", "features": {"nid": {"dtype": "uint16", "id": null, "_type": "Value"}, "content": {"dtype": "string", "id": null, "_type": "Value"}, "sentiment": {"dtype": "string", "id": null, "_type": "Value"}, "pid": {"dtype": "uint8", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "content", "output": "sentiment"}, "task_templates": null, "builder_name": "sentinews", "config_name": "paragraph_level", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 23107429, "num_examples": 89999, "dataset_name": "sentinews"}}, "download_checksums": {"https://www.clarin.si/repository/xmlui/bitstream/handle/11356/1110/SentiNews_paragraph-level.txt": {"num_bytes": 24342387, "checksum": "c45535325db5a6ef5073d7a594c68e5a5c60983d2e1b277f0dbf76f9975a9f18"}}, "download_size": 24342387, "post_processing_size": null, "dataset_size": 23107429, "size_in_bytes": 47449816}, "sentence_level": {"description": "SentiNews is a Slovenian sentiment classification dataset, consisting of news articles manually annotated with their \nsentiment by between 2 and 6 annotators. 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The final sentiment is determined using \nthe following criterion: negative (if average of scores \u2264 2.4); neutral (if average of scores is between 2.4 and 3.6); \npositive (average of annotated scores \u2265 3.6).\n", "citation": "@article{buvcar2018annotated, \n title={Annotated news corpora and a lexicon for sentiment analysis in Slovene}, \n author={Bu{\u000b{c}}ar, Jo{\u000b{z}}e and {\u000b{Z}}nidar{\u000b{s}}i{\u000b{c}}, Martin and Povh, Janez}, \n journal={Language Resources and Evaluation}, \n volume={52}, \n number={3}, \n pages={895--919}, \n year={2018}, \n publisher={Springer}\n}\n", "homepage": "https://github.com/19Joey85/Sentiment-annotated-news-corpus-and-sentiment-lexicon-in-Slovene/", "license": "Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)", "features": {"nid": {"dtype": "uint16", "id": null, "_type": "Value"}, "content": {"dtype": "string", "id": null, "_type": "Value"}, "sentiment": {"dtype": "string", "id": null, "_type": "Value"}, "pid": {"dtype": "uint8", "id": null, "_type": "Value"}, "sid": {"dtype": "uint8", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "content", "output": "sentiment"}, "task_templates": null, "builder_name": "sentinews", "config_name": "sentence_level", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 24641935, "num_examples": 168899, "dataset_name": "sentinews"}}, "download_checksums": {"https://www.clarin.si/repository/xmlui/bitstream/handle/11356/1110/SentiNews_sentence-level.txt": {"num_bytes": 27220223, "checksum": "4382e064543b7fc6d61cc76bc2f16f8f37c80065dbc4f87b888919d1f45bb9c1"}}, "download_size": 27220223, "post_processing_size": null, "dataset_size": 24641935, "size_in_bytes": 51862158}}