preetisheoran/nfpc-parquet-dataset
AML Mule Account Detection Challenge Data Format: All files are in Apache Parquet format (Snappy compression). Use pandas.read_parquet(), pyarrow.parquet, or any Parquet-compatible reader. Transaction files are split across batch-N/ subdirectories. Primary Objective/Problem Statement Identify mule accounts used for money laundering from banking transaction and account data. Given labelled training data and unlabelled test accounts, predict which test accounts… See the full description on the dataset page: https://huggingface.co/datasets/preetisheoran/nfpc-parquet-dataset.
| Author / organization | preetisheoran |
|---|---|
| Downloads | 172 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 10 March 2026 |
| Last updated at source | 12 March 2026 |
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- 17 Oct 2026 Description: AML Mule Account Detection Challenge Data Format: All files are in Apache Parquet format (Snappy compression). Use pandas.read_parquet(), pyarrow.parquet, or any Parquet-compatible reader. Transaction files are split across batch-N/ subdire → AML Mule Account Detection Challenge Data Format: All files are in Apache Parquet format (Snappy compression). Use pandas.read_parquet(), pyarrow.parquet, or any Parquet-compatible reader. Transaction files are split across batch-N/ subdire
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