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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01DevBM /Sentiment-Analysis-Text-from-Yelp-Imdb-Amazontext1K<n<10K0 likes151 downloads2y agoHugging Face02brainer /text-analysis-context-cased-case-datatabular100K<n<1M0 likes60 downloads1y agoHugging Face03uudon /text_samples_for_fingerprint_analysistext1K<n<10K0 likes44 downloads25d agoHugging Face04theprint /TextAnalysis TextAnalysis Generated with LMDataTools using DataBird. Generates high-quality Q&A pairs from topic lists with quality scoring. TextAnalysis, generated by DataBird, consists of instructional prompts and detailed responses focused on literary writing techniques and narrative structure. The entries cover specific subjects such as differentiating between plot summary and thematic analysis, as well as intertwining a protagonist's emotional arc with external plot events to build… See the full description on the dataset page: https://huggingface.co/datasets/theprint/TextAnalysis.textquestion-answeringn<1K1 likes27 downloads7mo agoHugging Face05MelmaGrigia /italian-text-sentiment-analysistexttext-classification1K<n<10K1 likes25 downloads2y agoHugging Face06prithivMLmods /Spam-Text-Detect-Analysistext1K<n<10K2 likes23 downloads2y agoHugging Face07artist /Bulgarian-Online-Store-Feedback-Text-Analysis Customer Feedback Dataset Description This dataset contains customer reviews collected from various online stores and categorized into compliments, complaints, and mixed reviews. It is intended for use in sentiment analysis and customer feedback analysis projects. Dataset Structure Number: Identifier for the review. Review: Text of the review. Category: Category of the review (compliments, complaints, mixed). OnlineStore: The online store from which the review… See the full description on the dataset page: https://huggingface.co/datasets/artist/Bulgarian-Online-Store-Feedback-Text-Analysis.textn<1K0 likes17 downloads2y agoHugging Face08raselmeya2194 /Bangla-Multi-Label-Text_AnalysisThis dataset is a consolidated collection of four public Bengali text datasets curated for sentiment analysis, toxic comment classification and bengali news classification. It consists of Bengali text comments annotated with multiple categories, covering a wide range of sentiment and content-based labels. Aimed at advancing research in Bengali language processing, this dataset is particularly suited for tasks like sentiment analysis, hate speech detection, and contextual comment… See the full description on the dataset page: https://huggingface.co/datasets/raselmeya2194/Bangla-Multi-Label-Text_Analysis.texttext-classification10K<n<100K0 likes8 downloads2y agoHugging Face09ArpitGarg /sentiment_analysis_texttext100K<n<1M0 likes3 downloads2y agoHugging Face10ArpitGarg /sentiment_analysis_text_llama_3_1_8btext100K<n<1M0 likes2 downloads2y agoHugging Face

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