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Movie plot dataset

For example, ImageNet 32⨉32 and ImageNet 64⨉64 are variants of the ImageNet dataset. Save Add a new evaluation result row.
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IMDb reserves the right to select which plot summary to use. Up to five summaries per title may be kept, but only if they present a differing viewpoints. Write in English, regardless of the language of the original film: Should be longer than 239 characters - any shorter and these will automatically turn into outlines. Following stats provide a good sense of the scale of the dataset: # records = 573913 # users = 263407 # movies = 1572 # spoiler reviews = 150924 # users with at least one spoiler review = 79039 # items with at least one spoiler review = 1570 Acknowledgement This dataset is collected from IMDB. Inspiration.
The Movie dataset contains weekend and daily per theater box office receipt data as well as total U.S. gross receipts for a set of 49 movies. Dates are provided for all time series values. The diverse list of movies was selected, not at random, but to spark student interest and to provide a range of box office values. 5) The Shawshank Redemption.
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Jul 21, 2020 · Recent years have seen remarkable advances in visual understanding. However, how to understand a story-based long video with artistic styles, e.g. movie, remains challenging. In this paper, we introduce MovieNet -- a holistic dataset for movie understanding. MovieNet contains 1,100 movies with a large amount of multi-modal data, e.g. trailers, photos, plot descriptions, etc. Besides, different ....

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Large Movie Review Dataset. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well..

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The Movie dataset contains weekend and daily per theater box office receipt data as well as total U.S. gross receipts for a set of 49 movies. Dates are provided for all time series values. The diverse list of movies was selected, not at random, but to spark student interest and to provide a range of box office values. 5) The Shawshank Redemption.

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The dataset consists of movies released on or before July 2017. Data points include cast, crew, plot keywords, budget, revenue, posters, release dates, languages, production companies, countries, TMDB vote counts and vote averages. This dataset also has files containing 26 million ratings from 270,000 users for all 45,000 movies..
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class xarray.Dataset(data_vars=None, coords=None, attrs=None) [source] ¶. A multi-dimensional, in memory, array database. A dataset resembles an in-memory representation of a NetCDF file, and consists of variables, coordinates and attributes which together form a self describing dataset. Dataset implements the mapping interface with keys given.

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I'm trying to get a barplot to rotate it's X Labels in 45 to make them readable (as is, there's overlap). I'm using a MovieLens dataset and making a graph counting the number of movies in each individual genre. Here's.
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The data sets contain the information about IMDB movies website which is most popular at that moment for online movie streaming. It combines movie plot description. Ratings, critic and user ratings, release dates and many more aspects. This data can be plotted in different categories which includes bar graph, scatter plot, cloud representation ....
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The average movie rating in the 2010s has been around 6.5. James Cameron is the director whose movies make the most average profit. Christopher Nolan is the director whose movies get the highest average rating. Avatar is the most profitable movie ever. Runtime does not affect movie profit that much. The dataset</b> contains the titles of the top 100 <b>movies</b> on.

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Load the IMDb Database. IMDb has made essential susbsets of its database available for non-commercial use of the public and its customers on the IMDb website, where you can also find all relevant details described in the corresponding IMDb data dictionary.In this analysis I focus on mainly 2 datasets (title.basics and title.ratings) which offers 9 and 3 features respectively that ....
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Feb 22, 2019 · 7- The most profitable mounts are June, December, and May. 8-According to TMDB dataset, all times most popular movies are Jurassic World, Mad Max: Fury Road, and Interstellar. 9-All times most ....

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Movie Review Data This page is a distribution site for movie-review data for use in sentiment-analysis experiments. Available are collections of movie-review documents labeled with respect to their overall sentiment polarity (positive or negative) or subjective rating (e.g., "two and a half stars") and sentences labeled with respect to their subjectivity status (subjective or objective) or ....
UC Irvine Machine Learning Lab’s Movie Data Set. This data set contains a list of over 10000 films including many older, odd, and cult films. There is information on actors, casts, directors, producers, studios, etc. The data is stored in relational form across several files. The central file (MAIN) is a list of movies, each with a unique.
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Movie-Plot-Search-Engine. Wikipedia Movie Plots. Team Members Shanmukha Praveen Madasu ([email protected]) Sai Krishna Telukuntla ([email protected]) Divya Patel ([email protected]) Overview The goal of our project is to analyze and extract meaningful information from Wikipedia movie plots dataset.Our information retrieval algorithm returns a.

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In this Project, you will use NLP to find the degree of similarity between movies based on their plots available on IMDb and Wikipedia. The dataset contains the titles of the top 100 movies on IMDb as well as each movie's plot summary from both IMDb and Wikipedia.

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In this Project, you will use NLP to find the degree of similarity between movies based on their plots available on IMDb and Wikipedia. The dataset contains the titles of the top 100 movies on IMDb as well as each movie's plot summary from both IMDb and Wikipedia.

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For this application, we are performing some data analysis over the MovieLens dataset[¹], which consists of 25 million ratings given to 62,000 movies by 162,000 users, thus obtaining some statistics.

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The average movie rating in the 2010s has been around 6.5. James Cameron is the director whose movies make the most average profit. Christopher Nolan is the director whose movies get the highest average rating. Avatar is the most profitable movie ever. Runtime does not affect movie profit that much. Be the first to contribute! Just click the "Edit page" button at the bottom of the page or learn more in the Plot Summary submission guide. Synopsis. It looks like we don't have a Synopsis for this title yet. Be the first to contribute! Just click the "Edit page" button at the bottom of the page or learn more in the Synopsis submission guide.
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Cornell Movie-Dialogs Corpus: Containing a large metadata-rich collection of fictional conversations extracted from raw movie scripts, this dataset features 220,000+ conversations between 10,000+ pairs of movie characters.It involves more than 9,000 characters across 617 movies, and features a total of 304,713 utterances. Multilingual Chatbot Training.
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Jul 21, 2020 · Recent years have seen remarkable advances in visual understanding. However, how to understand a story-based long video with artistic styles, e.g. movie, remains challenging. In this paper, we introduce MovieNet -- a holistic dataset for movie understanding. MovieNet contains 1,100 movies with a large amount of multi-modal data, e.g. trailers, photos, plot descriptions, etc. Besides, different ....

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Be the first to contribute! Just click the "Edit page" button at the bottom of the page or learn more in the Plot Summary submission guide. Synopsis. It looks like we don't have a Synopsis for this title yet. Be the first to contribute! Just click the "Edit page" button at the bottom of the page or learn more in the Synopsis submission guide. Although the dataset contains several informations about a movie, for the scope of this post I will only use the plot of the movie and the genre(s) on which the movie is classified. Dataset. In order to create the dataset for this experiment you need to download genres.list and plot.list files from a mirror FTP, and then parse files in order to.
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May 04, 2018 · The boxplot shows the movie revenues by months with the movies released in 2008-2017. According to the boxplot, the movies released in July tend to show higher revenue, while the movies released in May tend to have lower revenue. The scatterplot shows the relationship between the movie revenues and the movie budgets with the movies released in ....

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A Python package for offline access to vega datasets. This package has several goals: Provide straightforward access in Python to the datasets made available at vega-datasets. return the results in the form of a Pandas dataframe. wherever dataset size and/or license constraints make it possible, bundle the dataset with the package so that. Film data from Maltin's Movie and Video Guide Format. A dataset with 100 observations on the following 9 variables. Title: Movie title: Year: Year the movie was released: Time: Running time (in minutes) ... Plot - a plot of two columns on the cartesian coordinate system; Boxplot - a Boxplot (box-and-whisker plot) of a column.
Leeds international film festival visitor location data. data.world's Admin for data.gov.uk · Updated 2 years ago. Leeds international film festival visitor location data. Dataset with 5 files 5 tables. Tagged. festival film locality lab movies visitors.

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Jul 21, 2021 · Movie data sets for Machine Learning. IMDB Reviews: Ideal for sentiment analysis, this movie data set contains 5,000 movie reviews. The data set has a perfect 10 review in terms of usability by the nearly 7,000 people who’ve downloaded it, making it a perfect data set to test with. IMDB Film Reviews data set: Designed for binary sentiment ....

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The MOBO dataset. The MOvie and BOok reviews dataset is a collection made up of movie and book reviews, paired with their related plots. The reviews come from different publicly available datasets: the Stanford's IMDB movie reviews [1], the GoodReads [2] and the Amazon reviews dataset [3]. With the help of 15 annotators, we further labeled more.
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Movie-Plot-Search-Engine. Wikipedia Movie Plots. Team Members Shanmukha Praveen Madasu ([email protected]) Sai Krishna Telukuntla ([email protected]) Divya Patel ([email protected]) Overview The goal of our project is to analyze and extract meaningful information from Wikipedia movie plots dataset.Our information retrieval algorithm returns a.

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