IMDb Movie Reviews

Introduced by Andrew L. Maas et al. in Learning Word Vectors for Sentiment Analysis

The IMDb Movie Reviews dataset is a binary sentiment analysis dataset consisting of 50,000 reviews from the Internet Movie Database (IMDb) labeled as positive or negative. The dataset contains an even number of positive and negative reviews. Only highly polarizing reviews are considered. A negative review has a score ≤ 4 out of 10, and a positive review has a score ≥ 7 out of 10. No more than 30 reviews are included per movie. The dataset contains additional unlabeled data.

Source: http://nlpprogress.com/english/sentiment_analysis.html

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Benchmarks

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Task	Dataset Variant	Best Model
Text Classification	IMDb	XLNet
Sentiment Analysis	IMDb	RoBERTa-large with LlamBERT
Opinion Mining	IMDb Movie Reviews	ELECTRA
Sentiment Analysis	User and product information	MA-BERT
Text Classification	IMDb Movie Reviews	Logistic Regression
SQL Parsing	IMDb	Seq2Seq with copying
Sentiment Analysis	IMDb Movie Reviews	Space-XLNet
Paraphrase Identification	IMDb	SplitEE-S
Graph Similarity	IMDb	SimGNN
Node Clustering	IMDb	MAGNN
Link Prediction	IMDb	Event2vec