Name: IMDB Movie Reviews (Binary Sentiment)
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

IMDB Movie Reviews (Binary Sentiment)

IMDB Large Movie Review Dataset: Binary Sentiment Classification

The classic sentiment analysis dataset

Source

Huggingface Hub: link

About this dataset

This is a large dataset for binary sentiment classification containing a substantial amount of data compared to previous benchmark datasets. Provided are 25,000 highly polar movie reviews for training and 25,000 for testing. There is also additional unlabeled data available for use. The data fields are consistent among all splits of the dataset

How to use the dataset

In order to use this dataset, you will need to first download the IMDB Large Movie Review Dataset. Once you have downloaded the dataset, you can either use it in its original form or split it into training and testing sets. To split the dataset, you will need to create a new file called unsupervised.csv and copy the text column from train.csv into it. You can then split unsupervised.csv into two files: train_unsupervised.csv and test_unsupervised.csv.

Once you have either the original dataset or the training and testing sets, you can begin using them for binary sentiment classification. In order to do this, you will need to use a machine learning algorithm that is capable of performing binary classification, such as logistic regression or support vector machines. Once you have trained your model on the training set, you can then evaluate its performance on the test set by predicting the labels of the reviews in test_unsupervised.csv

Research Ideas

This dataset can be used to train a binary sentiment classification model.

This dataset can be used to train a model to classify movie reviews into positive and negative sentiment categories.

This dataset can be used to build a large movie review database for research purposes

Acknowledgements

The dataset was originally posted on Huggingface Hub

License

> License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
> No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train.csv

Column name	Description
text	The text of the review. (String)
label	The label for the review, 0 for negative and 1 for positive. (Integer)

File: test.csv

Column name	Description
text	The text of the review. (String)
label	The label for the review, 0 for negative and 1 for positive. (Integer)

File: unsupervised.csv

Column name	Description
text	The text of the review. (String)
label	The label for the review, 0 for negative and 1 for positive. (Integer)

Tables

Test

@kaggle.thedevastator_imdb_large_movie_review_dataset_binary_sentiment.test

20.32 MB
25,000 rows
2 columns

CREATE TABLE test (
  "text" VARCHAR,
  "label" BIGINT
);

Train

@kaggle.thedevastator_imdb_large_movie_review_dataset_binary_sentiment.train

20.84 MB
25,000 rows
2 columns

CREATE TABLE train (
  "text" VARCHAR,
  "label" BIGINT
);

Unsupervised

@kaggle.thedevastator_imdb_large_movie_review_dataset_binary_sentiment.unsupervised

41.71 MB
50,000 rows
2 columns

CREATE TABLE unsupervised (
  "text" VARCHAR,
  "label" BIGINT
);