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README.md
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---
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dataset_info:
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features:
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- name: id
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dtype: int64
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- name: text
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dtype: string
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- name: metadata
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dtype: string
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- name: region_main_id
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dtype: int64
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- name: region_main
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dtype: string
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- name: region_sub_id
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dtype: int64
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- name: region_sub
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dtype: string
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- name: date_str
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dtype: string
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- name: date_min
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dtype: float64
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- name: date_max
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dtype: float64
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- name: date_circa
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dtype: float64
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- name: last_digit
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dtype: string
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- name: __index_level_0__
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dtype: int64
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splits:
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- name: train
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num_bytes: 52821262
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num_examples: 70682
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- name: validation
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num_bytes: 6688781
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num_examples: 8751
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- name: test
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num_bytes: 6514866
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num_examples: 8769
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download_size: 30227497
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dataset_size: 66024909
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: validation
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path: data/validation-*
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- split: test
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path: data/test-*
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---
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dataset_info:
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features:
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- name: id
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dtype: int64
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- name: text
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dtype: string
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- name: metadata
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dtype: string
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- name: region_main_id
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dtype: int64
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- name: region_main
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dtype: string
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- name: region_sub_id
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dtype: int64
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- name: region_sub
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dtype: string
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- name: date_str
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dtype: string
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- name: date_min
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dtype: float64
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- name: date_max
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dtype: float64
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- name: date_circa
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dtype: float64
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- name: last_digit
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dtype: string
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- name: __index_level_0__
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dtype: int64
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splits:
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- name: train
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num_bytes: 52821262
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num_examples: 70682
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- name: validation
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num_bytes: 6688781
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num_examples: 8751
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- name: test
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num_bytes: 6514866
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num_examples: 8769
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download_size: 30227497
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dataset_size: 66024909
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: validation
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path: data/validation-*
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- split: test
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path: data/test-*
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license: apache-2.0
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tags:
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- ancient languages
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size_categories:
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- 10K<n<100K
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---
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# Dataset Card for I.PHI
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<!-- Provide a quick summary of the dataset. -->
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This is the I.PHI dataset from the Nature article *"[Restoring and attributing ancient texts using deep neural networks](https://www.nature.com/articles/s41586-022-04448-z)"*.
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I.PHI contains geographical and chronological metadata for a cleaned subset of the [Packard Humanities Institute](https://inscriptions.packhum.org/) database of ancient Greek inscriptions.
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## Dataset Details
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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- **Curated by:** Thea Sommerschield\*, Yannis Assael\*, Brendan Shillingford, Mahyar Bordbar, John Pavlopoulos, Marita Chatzipanagiotou, Ion Androutsopoulos, Jonathan Prag, Nando de Freitas
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- **Shared by:** George Baker
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- **Language(s) (NLP):** Ancient and Byzantine Greek
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- **License:** Apache 2.0
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### Dataset Sources
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** [github.com/sommerschield/iphi](https://github.com/sommerschield/iphi)
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- **Paper:** [Restoring and attributing ancient texts using deep neural networks](https://www.nature.com/articles/s41586-022-04448-z)
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## Uses
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<!-- Address questions around how the dataset is intended to be used. -->
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I.PHI contains data for chronological attribution (dating), geographical attribution, and text restoration of Ancient and Byzantine Greek inscriptions.
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#### Data Collection and Processing
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Duplicate inscriptions and inscriptions with fewer than 50 characters are dropped.
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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](https://inscriptions.packhum.org/) database from which the dataset is sourced.
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## Citation
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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```@misc{sommerschield2021iphi,
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title={{I.PHI} dataset: ancient Greek inscriptions},
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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},
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howpublished = {\url{https://github.com/sommerschield/iphi}},
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year={2021}
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}
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@article{assael2022restoring,
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title={Restoring and attributing ancient texts using deep neural networks},
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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},
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journal={Nature},
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volume={603},
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number={7900},
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pages={280--283},
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year={2022},
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publisher={Nature Publishing Group UK London}
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}
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```
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## Dataset Card Authors
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This dataset card was written by George Baker.
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## Dataset Card Contact
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george (dot) baker (at) colorado (dot) edu
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