---
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]