{"url":"/dataset/banglaemotion","name":"BanglaEmotion","full_name":"BanglaEmotion: A Benchmark Dataset for Bangla Textual Emotion Analysis","description_markdown":"**BanglaEmotion** is a manually annotated Bangla Emotion corpus, which incorporates the diversity of fine-grained emotion expressions in social-media text. More fine-grained emotion labels are considered such as Sadness, Happiness, Disgust, Surprise, Fear and Anger - which are, according to Paul Ekman (1999), the six basic emotion categories. For this task, a large amount of raw text data are collected from the user’s comments on two different Facebook groups (Ekattor TV and Airport Magistrates) and from the public post of a popular blogger and activist Dr. Imran H Sarker. These comments are mostly reactions to ongoing socio-political issues and towards the economic success and failure of Bangladesh. A total of 32923 comments are scraped from the three sources aforementioned above. Out of these, a total of 6314 comments were annotated into the six categories. The distribution of the annotated corpus is as follows:\r\n\r\nsad = 1341\r\nhappy = 1908\r\ndisgust = 703\r\nsurprise = 562\r\nfear = 384\r\nangry = 1416\r\n\r\nA balanced set is also provided from the above data and split the dataset into training and test set of equal ratio. A proportion of 5:1 is used for training and evaluation purposes. More information on the dataset and the experiments on it could be found in our paper (related links below).","description_withheld":null,"homepage":"https://data.mendeley.com/datasets/24xd7w7dhp/","introduced_date":"2020-11-20","introduced_date_note":null,"introduced_by":null,"license":{"name":"Creative Commons Attribution 4.0 International license.","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Classification","url":"/task/text-classification","datasets_with_task":"/datasets/task/text-classification"},{"name":"Sentiment Analysis","url":"/task/sentiment-analysis","datasets_with_task":"/datasets/task/sentiment-analysis"},{"name":"Emotion Recognition","url":"/task/emotion-recognition","datasets_with_task":"/datasets/task/emotion-recognition"},{"name":"Emotion Classification","url":"/task/emotion-classification","datasets_with_task":"/datasets/task/emotion-classification"}],"languages":[{"name":"Bengali","url":"/datasets/language/bengali"}],"variants":["BanglaEmotion"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}