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---
license: cc-by-nc-sa-4.0
language:
- en
---
# Dataset Card for IMDb Movie Dataset: All Movies by Genre
## Dataset Description
- **Homepage:** https://www.kaggle.com/datasets/rajugc/imdb-movies-dataset-based-on-genre?select=history.csv
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset is an adapted version of **"IMDb Movie Dataset: All Movies by Genre"** found at: https://www.kaggle.com/datasets/rajugc/imdb-movies-dataset-based-on-genre?select=history.csv.
Within the dataset, the movie title and year columns were combined, the genre was extracted from the seperate csv files, the pre-existing genre column was renamed to expanded-genres, any movies missing a description (i.e. the description was written as "Add a plot") were dropped from the original data, the rating column was left the same, and finally the rest of the remaining columns were dropped.
The columns in the data are: "movie title - year", "genre", "expanded-genres", "rating", and "description"
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
Language data is English.
## Dataset Structure
### Data Instances
**imdb_genres** = 300388 entries
- The dataset that was split into training/test/validation datasets.
- Total amount of disk used: 68.0 MB
**training** = 240310 entries
- Total amount of disk used: 54.4 MB
**test** = 30039 entries
- Total amount of disk used: 6.8 MB
**validation** = 30039 entries
- Total amount of disk used: 6.8 MB
An example of an entries looks as follows:
```
{
"movie title - year" : "Die Hard - 1988",
"genre" : "Action",
"expanded-genres" : "Action, Thriller",
"rating" : 8.2,
"description" : "A New York City police officer tries to save his estranged wife and several others taken hostage by terrorists during a Christmas party at the Nakatomi Plaza in Los Angeles."
}
```
### Data Fields
The data fields are the same among all splits.
Fields are as follows:
- "movie title - year": a string feature.
- "genre": a string classification label, with the possible values: 'Adventure', 'Action', 'Thriller', 'Romance', 'Crime', 'Fantasy', 'Mystery', 'Horror', 'War', 'Family', 'Animation', 'Scifi', 'Sports', 'History', 'Biography', and 'Film-noir'.
- "expanded-genres" : a string feature.
- "rating" : a floating point value, ranging from 0.0 to 10.0.
- "description" : a string feature.
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |