{"id":38277,"date":"2026-01-23T12:27:04","date_gmt":"2026-01-23T11:27:04","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/emotions-dataset-14k-texts-tagged-with-7-emotions-nlp-classification\/"},"modified":"2026-01-23T12:27:04","modified_gmt":"2026-01-23T11:27:04","slug":"emotions-dataset-14k-texts-tagged-with-7-emotions-nlp-classification","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/emotions-dataset-14k-texts-tagged-with-7-emotions-nlp-classification\/","title":{"rendered":"Emotions Dataset: 14K Texts Tagged With 7 Emotions (NLP \/ Classification)"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<h1>About Dataset &#8211;<\/h1>\n<h1><a href=\"https:\/\/www.kaggle.com\/datasets\/prashanthan24\/synthetic-emotions-dataset-14k-texts-7-emotions\">https:\/\/www.kaggle.com\/datasets\/prashanthan24\/synthetic-emotions-dataset-14k-texts-7-emotions<\/a><\/h1>\n<p><strong>Overview<\/strong> <br \/> High-quality synthetic dataset with 13,970 text samples labeled across 7 emotions (Anger, Happiness, Sad, Surprise, Hate, Love and Fun). Generated using Mistral-7B for diverse, realistic emotion expressions in short-to-medium texts. Ideal for benchmarking NLP models like RNNs, BERT, or LLMs in multi-class emotion detection.<\/p>\n<p><strong>Sample<\/strong> <br \/> Text: &#8220;John clenched his fists, his face turning red as he paced back and forth in the room. His eyes flashed with frustration as he muttered under his breath about the latest setback at work.&#8221; <\/p>\n<p>Emotion: Anger<\/p>\n<p><strong>Key Stats<\/strong><\/p>\n<ul>\n<li>Rows: 13970<\/li>\n<li>Columns: text, emotion<\/li>\n<li>Emotions: 7 balanced classes<\/li>\n<li>Generator: Mistral-7B (synthetic, no PII\/privacy risks)<\/li>\n<li>Format: CSV (easy import to Kaggle notebooks)<\/li>\n<\/ul>\n<p><strong>Use Cases<\/strong><\/p>\n<ul>\n<li>Train\/fine-tune emotion classifiers (e.g., DistilBERT, LSTM)<\/li>\n<li>Compare traditional ML vs. LLMs (zero-shot\/few-shot)<\/li>\n<li>Augment real datasets for imbalanced classes<\/li>\n<li>Educational projects in NLP\/sentiment analysis<\/li>\n<\/ul>\n<p><strong>Notes<\/strong> Fully synthetic\u2014labels auto-generated via LLM prompting for consistency. Check for duplicates\/biases before heavy use. Pairs well with emotion notebooks!<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/prashanthpavi\"> \/u\/prashanthpavi <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1qknq2s\/emotions_dataset_14k_texts_tagged_with_7_emotions\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1qknq2s\/emotions_dataset_14k_texts_tagged_with_7_emotions\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-38277 jlk' href='javascript:void(0)' data-task='like' data-post_id='38277' data-nonce='9941108d62' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-38277 lc'>0<\/span><\/a><\/div><\/div> <div class='status-38277 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>About Dataset &#8211; https:\/\/www.kaggle.com\/datasets\/prashanthan24\/synthetic-emotions-dataset-14k-texts-7-emotions Overview High-quality synthetic dataset with 13,970 text samples labeled across 7 emotions (Anger,&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-38277","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/38277","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=38277"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/38277\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=38277"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=38277"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=38277"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}