---
dataset_info:
  features:
  - name: decade_id
    dtype: int32
  - name: height
    dtype: int32
  - name: text
    dtype: string
  - name: width
    dtype: int32
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 878921276.52
    num_examples: 19830
  - name: test
    num_bytes: 67327491.494
    num_examples: 3523
  - name: val
    num_bytes: 47957787.28
    num_examples: 2470
  download_size: 520302446
  dataset_size: 994206555.2939999
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: val
    path: data/val-*
---
Original: https://www.kaggle.com/datasets/vpippi/lam-dataset

# About Dataset

The Ludovico Antonio Muratori (LAM) dataset is the largest line-level HTR dataset to date and contains 25,823 lines from Italian ancient manuscripts edited by a single author over 60 years. The dataset comes in two configurations: a basic splitting and a date-based splitting which takes into account the age of the author. The first setting is intended to study HTR on ancient documents in Italian, while the second focuses on the ability of HTR systems to recognize text written by the same writer in time periods for which training data are not available.

# License
See original