Datasets › address_parser_data

address_parser_data

Introduced by Haitham Hammami et al. in Fighting crime with Transformers: Empirical analysis of address parsing methods in payment data8 Apr 2024 archive 2025-07-28

This is a set of datasets containing three versions of data:

  • V0: the original sampled addresses with no augmentation.
  • V1: Given V0, we apply basic cleaning and address structure masking technique (rearrangement or removal, but no addition of augmented address parts).
  • V2: Given V0, we apply more advanced augmentation techniques (see paper for more info)

For each version we have three types of dataset:

  • Train: around 3M datapoints used for training
  • Test: around 100k datapoints used for testing
  • Zero-shot: around 300k datapoints used for validation, extracting from addresses in countries not seen in train and test

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • address_parser_data

1 variant name, as the archive lists them.

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