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Online shopping review dataset
Online shopping review dataset -
KALM Dataset
The dataset used in the KALM paper. -
Student Satisfaction Dataset
Student satisfaction scores on a 3-point scale and their free text comments written about university subjects are used as the dataset. -
TREC dataset
The dataset used in the paper is the TREC dataset, which consists of 124 queries. -
Amazon dataset
The Amazon dataset is used to evaluate the performance of the proposed approach. It consists of 2000 users, 1500 items, 86690 reviews, 7219 number ratings, 3.6113 average number... -
Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping
Self-alignment is an effective way to reduce the cost of human annotation while ensuring promising model capability. This objective can be achieved from three aspects: (i) high... -
Guilt Detection in Text: A Step Towards Understanding Complex Emotions
A dataset for guilt detection in text, laying the groundwork for future research and advancements in understanding guilt through NLP methods. -
Regret Detection and Domain Identification Dataset (ReDDIT)
A novel dataset tailored to dissect the relationship between guilt and regret and their unique textual markers. -
Text Classification as Matching
Many-class text classification is formulated as a matching problem between the input texts and the class descriptions. -
Newsgroups 4
The dataset used in this paper for Dominant Set Clustering. -
Newsgroups 3
The dataset used in this paper for Dominant Set Clustering. -
Newsgroups 2
The dataset used in this paper for Dominant Set Clustering. -
SST-1, SST-2, SUBJ, IMDB
The dataset used for text classification tasks, including SST-1, SST-2, SUBJ, and IMDB. -
Text Classification
Text classification dataset -
Text, Tabular and Image Classification
Text, tabular and image classification datasets -
Sent140 dataset
The dataset used in the paper is a real-world dataset for sentiment analysis. -
Online news popularity data
The dataset contains features about articles published by Mashable web site over a period of two years.