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Transformed, cleaned dataset with reduced number of columns for all 45,000 movies listed in the full MovieLens dataset of movies released in July 2017 or earlier. Data points include movie ID, title, budget, languages, and genres. This dataset also includes 26 million ratings from 270,000 users for all 45,000 movies. Ratings are given on a scale of 1 to 5 and include user ID, movie ID, rating, and timestamp. This dataset consists of the following files: * movies.csv: The main movie metadata file. Contains information on 45,000 movies included in the full MovieLens dataset. * ratings.csv: The full MovieLens dataset with 26 million ratings and 750,000 tag applications from 270,000 users on all 45,000 movies in this dataset. This dataset is a further development of the following public domain dataset published on Kaggle: https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset This data was obtained from the official GroupLens website. The data was originally obtained from The Movies DataBase (TMDB) via the TMDB AP
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 49 |

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