{
 "id": "mteb/LccSentimentClassification",
 "owner": "mteb",
 "name": "LccSentimentClassification",
 "downloads": 19,
 "likes": 0,
 "last_modified": "2025-05-06T12:40:45.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
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 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "@inproceedings{quasthoff-etal-2006-corpus,\n  abstract = {A simple and flexible schema for storing and presenting monolingual language resources is proposed. In this format, data for 18 different languages is already available in various sizes. The data is provided free of charge for online use and download. The main target is to ease the application of algorithms for monolingual and interlingual studies.},\n  address = {Genoa, Italy},\n  author = {Quasthoff, Uwe  and\nRichter, Matthias  and\nBiemann, Christian},\n  booktitle = {Proceedings of the Fifth International Conference on Language Resources and Evaluation ({LREC}{'}06)},\n  editor = {Calzolari, Nicoletta  and\nChoukri, Khalid  and\nGangemi, Aldo  and\nMaegaard, Bente  and\nMariani, Joseph  and\nOdijk, Jan  and\nTapias, Daniel},\n  month = may,\n  publisher = {European Language Resources Association (ELRA)},\n  title = {Corpus Portal for Search in Monolingual Corpora},\n  url = {http://www.lrec-conf.org/proceedings/lrec2006/pdf/641_pdf.pdf},\n  year = {2006},\n}\n\n\n@article{enevoldsen2025mmtebmassivemultilingualtext,\n  title={MMTEB: Massive Multilingual Text Embedding Benchmark},\n  author={Kenneth Enevoldsen and Isaac Chung and Imene Kerboua and Márton Kardos and Ashwin Mathur and David Stap and Jay Gala and Wissam Siblini and Dominik Krzemiński and Genta Indra Winata and Saba Sturua and Saiteja Utpala and Mathieu Ciancone and Marion Schaeffer and Gabriel Sequeira and Diganta Misra and Shreeya Dhakal and Jonathan Rystrøm and Roman Soloma",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "64603305c4167312fe574df98911e710582b9b8f",
 "stated_evidence": "https://huggingface.co/datasets/mteb/LccSentimentClassification/blob/64603305c4167312fe574df98911e710582b9b8f/README.md",
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}