Datasets:
dataset_info:
features:
- name: id
dtype: int64
- name: text
dtype: string
- name: metadata
dtype: string
- name: region_main_id
dtype: int64
- name: region_main
dtype: string
- name: region_sub_id
dtype: int64
- name: region_sub
dtype: string
- name: date_str
dtype: string
- name: date_min
dtype: float64
- name: date_max
dtype: float64
- name: date_circa
dtype: float64
- name: last_digit
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 52821262
num_examples: 70682
- name: validation
num_bytes: 6688781
num_examples: 8751
- name: test
num_bytes: 6514866
num_examples: 8769
download_size: 30227497
dataset_size: 66024909
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
license: apache-2.0
tags:
- ancient languages
size_categories:
- 10K<n<100K
Dataset Card for I.PHI
This is the I.PHI dataset from the Nature article "Restoring and attributing ancient texts using deep neural networks". I.PHI contains geographical and chronological metadata for a cleaned subset of the Packard Humanities Institute database of ancient Greek inscriptions.
Dataset Details
Dataset Description
- Curated by: Thea Sommerschield*, Yannis Assael*, Brendan Shillingford, Mahyar Bordbar, John Pavlopoulos, Marita Chatzipanagiotou, Ion Androutsopoulos, Jonathan Prag, Nando de Freitas
- Shared by: George Baker
- Language(s) (NLP): Ancient and Byzantine Greek
- License: Apache 2.0
Dataset Sources
- Repository: github.com/sommerschield/iphi
- Paper: Restoring and attributing ancient texts using deep neural networks
Uses
I.PHI contains data for chronological attribution (dating), geographical attribution, and text restoration of Ancient and Byzantine Greek inscriptions.
Data Collection and Processing
Duplicate inscriptions and inscriptions with fewer than 50 characters are dropped.
Note: this version contains slightly more examples than the number reported in the original article (70,682/8,751/8,769 instead of 63,014/7,783/7,811). This is likely due to additions to the Packard Humanities Institute database from which the dataset is sourced.
Citation
BibTeX:
@misc{sommerschield2021iphi,
title={{I.PHI} dataset: ancient Greek inscriptions},
author={Sommerschield*, Thea and Assael*, Yannis and Shillingford, Brendan and Bordbar, Mahyar and Pavlopoulos, John and Chatzipanagiotou, Marita and Androutsopoulos, Ion and Prag, Jonathan and de Freitas, Nando},
howpublished = {\url{https://github.com/sommerschield/iphi}},
year={2021}
}
@article{assael2022restoring,
title={Restoring and attributing ancient texts using deep neural networks},
author={Assael, Yannis and Sommerschield, Thea and Shillingford, Brendan and Bordbar, Mahyar and Pavlopoulos, John and Chatzipanagiotou, Marita and Androutsopoulos, Ion and Prag, Jonathan and de Freitas, Nando},
journal={Nature},
volume={603},
number={7900},
pages={280--283},
year={2022},
publisher={Nature Publishing Group UK London}
}
Dataset Card Authors
This dataset card was written by George Baker.
Dataset Card Contact
george (dot) baker (at) colorado (dot) edu