|
--- |
|
|
|
|
|
{} |
|
--- |
|
|
|
# Dataset Card for Dataset Name |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** |
|
- https://github.com/mhmaqbool/mobilerec |
|
- **Repository:** |
|
- https://github.com/mhmaqbool/mobilerec |
|
- **Paper:** |
|
- MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation |
|
- **Point of Contact:** |
|
- M.H. Maqbool (hasan.khowaja@gmail.com) |
|
- Abubakar Siddique (abubakar.ucr@gmail.com) |
|
|
|
### Dataset Summary |
|
|
|
MobileRec is a large-scale app recommendation dataset. There are 19.3 million user\item interactions. This is a 5-core dataset. |
|
User\item interactions are sorted in ascending chronological order. There are 0.7 million users who have had at least five distinct interactions. |
|
There are 10173 apps in total. |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
Sequential Recommendation |
|
|
|
### Languages |
|
English |
|
|
|
## How to use the dataset? |
|
``` |
|
from datasets import load_dataset |
|
import pandas as pd |
|
|
|
# load the dataset and meta_data |
|
mbr_data = load_dataset('recmeapp/mobilerec', data_dir='interactions') |
|
mbr_meta = load_dataset('recmeapp/mobilerec', data_dir='app_meta') |
|
|
|
# Save dataset to .csv file for creating pandas dataframe |
|
mbr_data['train'].to_csv('./mbr_data.csv') |
|
|
|
# Convert to pandas dataframe |
|
mobilerec_df = pd.read_csv('./mbr_data.csv') |
|
|
|
# How many interactions are there in the MobileRec dataset? |
|
print(f'There are {len(mobilerec_df)} interactions in mobilerec dataset.') |
|
|
|
# How many unique app_packages (apps or items) are there? |
|
print(f'There are {len(mobilerec_df["app_package"].unique())} unique apps in mobilerec dataset.') |
|
|
|
# How many unique users are there in the mobilerec dataset? |
|
print(f'There are {len(mobilerec_df["uid"].unique())} unique users in mobilerec dataset.') |
|
|
|
# How many categoris are there? |
|
print(f'There are {len(mobilerec_df["app_category"].unique())} unique categories in mobilerec dataset.') |
|
``` |
|
|
|
[More Information Needed] |
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
|
|
[More Information Needed] |
|
|
|
### Data Fields |
|
|
|
[More Information Needed] |
|
|
|
### Data Splits |
|
|
|
[More Information Needed] |
|
|
|
## 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] |
