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---
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
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