license: cc-by-4.0
viewer: false
Dataset summary
This dataset is designed to assist in predicting a customer's propensity to purchase various products within a month following the reporting date. The dataset includes anonymized historical data on transaction activity, dialog embeddings, and geo-activity for some bank clients over 12 months.
Reduced dataset version is avaliable as MBD-mini. The mini MBD dataset contains a reduced subset of the data, making it easier and faster to work with during the development and testing phases. It includes a smaller number of clients and a shorter time span but maintains the same structure and features as the full dataset. MBD-mini has data based on 10% of unique clients listed in MBD.
Data
The dataset consists of anonymized historical data, which contains the following information for some of the Bank's clients over 12 months:
- transaction activity (transactions) Details about past transactions including amounts, types, and dates;
- dialog embeddings (dialogs) Embeddings from customer interactions, which capture semantic information from dialogues;
- geo-activity (geostream) Location-based data representing clients' geographic activity patterns.
Objective: To predict for each user the taking/not taking of each of the four products within a month after the reporting date, historical data for them is in targets
The dataset is divided into 5 folds based on client_split (which consist of an equal number of unique clients) for cross-validation purposes.
client_split Desc: Splitting clients into folds
|-- client_id: str Desc: Client id
|-- fold: int
detail
|-- dialog Desc: Dialogue embeddings
|-- client_id: str Desc: Client id
|-- event_time: timestamp Desc: Dialog's date
|--embedding: array float Desc: Dialog's embeddings
|-- fold: int
|-- geo Desc: Geo activity
|-- client_id: str Desc: Client id
|-- event_time: timestamp Desc: Event datetime
|-- fold: int
|-- geohash_4: int Desc: Geohash level 4
|-- geohash_5: int Desc: Geohash level 5
|-- geohash_6: int Desc: Geohash level 6
|-- trx Desc: Transactional activity
|-- client_id: str Desc: Client id
|-- event_time: timestamp Desc: Transaction's date
|-- amount: float Desc: Transaction's amount
|-- fold: int
|-- event_type: int Desc: Transaction's type
|-- event_subtype: int Desc: Clarifying the transaction type
|-- currency: int Desc: Currency
|-- src_type11: int Desc: Feature 1 for sender
|-- src_type12: int Desc: Clarifying feature 1 for sender
|-- dst_type11: int Desc: Feature 1 for contractor
|-- dst_type12: int Desc: Clarifying feature 1 for contractor
|-- src_type21: int Desc: Feature 2 for sender
|-- src_type22: int Desc: Clarifying feature 2 for sender
|-- src_type31: int Desc: Feature 3 for sender
|-- src_type32: int Desc: Clarifying feature 3 for sender
ptls Desc: Data is similar with detail but in pytorch-lifestream format https://github.com/dllllb/pytorch-lifestream
|-- dialog Desc: Dialogue embeddings
|-- client_id: str Desc: Client id
|-- event_time: Array[timestamp] Desc: Dialog's date
|-- embedding: Array[float] Desc: Dialog's embedding
|-- fold: int
|-- geo Desc: Geo activity
|-- client_id: str Desc: Client id
|-- event_time: Array[timestamp] Desc: Event datetime
|-- fold: int
|-- geohash_4: Array[int] Desc: Geohash level 4
|-- geohash_5: Array[int] Desc: Geohash level 5
|-- geohash_6: Array[int] Desc: Geohash level 6
|-- trx Desc: Transactional activity
|-- client_id: str Desc: Client id
|-- event_time: Array[timestamp] Desc: Transaction's date
|-- amount: Array[float] Desc: Transaction's amount
|-- fold: int
|-- event_type: Array[int] Desc: Transaction's type
|-- event_subtype: Array[int] Desc: Clarifying the transaction type
|-- currency: Array[int] Desc: Currency
|-- src_type11: Array[int] Desc: Feature 1 for sender
|-- src_type12: Array[int] Desc: Clarifying feature 1 for sender
|-- dst_type11: Array[int] Desc: Feature 1 for contractor
|-- dst_type12: Array[int] Desc: Clarifying feature 1 for contractor
|-- src_type21: Array[int] Desc: Feature 2 for sender
|-- src_type22: Array[int] Desc: Clarifying feature 2 for sender
|-- src_type31: Array[int] Desc: Feature 3 for sender
|-- src_type32: Array[int] Desc: Clarifying feature 3 for sender
targets
|-- mon: str Desc: Reporting month
|-- target_1: int Desc: Mark of product issuance in the first reporting month
|-- target_2: int Desc: Mark of product issuance in the second reporting month
|-- target_3: int Desc: Mark of product issuance in the third reporting month
|-- target_4: int Desc: Mark of product issuance in the fourth reporting month
|-- trans_count: int Desc: Number of transactions
|-- diff_trans_date: int Desc: Time difference between transactions
|-- client_id: str Desc: Client id
|-- fold: int
Load dataset
Download a single file
Download a single file with datasets
from datasets import load_dataset
dataset = load_dataset("ai-lab/MBD", data_files='client_split.tar.gz')
Download a single file with huggingface_hub
from huggingface_hub import hf_hub_download
hf_hub_download(repo_id="ai-lab/MBD", filename="client_split.tar.gz", repo_type="dataset")
# By default dataset is saved in '~/.cache/huggingface/hub/datasets--ai-lab--MBD/snapshots/<hash>/'
# To overwrite this behavior try to use local_dir
Download entire repository
Download entire repository with datasets
from datasets import load_dataset
dataset = load_dataset("ai-lab/MBD")
Download entire repository with huggingface_hub
from huggingface_hub import snapshot_download
snapshot_download(repo_id="ai-lab/MBD")
# By default dataset is saved in '~/.cache/huggingface/hub/datasets--ai-lab--MBD/snapshots/<hash>/'
# To overwrite this behavior try to use local_dir
Citation
TBD