Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Romanian
Size:
10K<n<100K
ArXiv:
License:
File size: 2,520 Bytes
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---
license: mit
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: valid
path: data/valid-*
dataset_info:
features:
- name: id
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B-PERS
'2': I-PERS
'3': B-ORG
'4': I-ORG
'5': B-LOC
'6': I-LOC
'7': B-PROD
'8': I-PROD
'9': B-DATE
'10': I-DATE
- name: tokens
sequence: string
- name: doc_id
dtype: string
- name: region
dtype: string
splits:
- name: train
num_bytes: 4446694.039497307
num_examples: 8020
- name: test
num_bytes: 556113.9802513465
num_examples: 1003
- name: valid
num_bytes: 556113.9802513465
num_examples: 1003
download_size: 1458677
dataset_size: 5558922
task_categories:
- token-classification
language:
- ro
tags:
- ner
- history
- romanian
size_categories:
- 10K<n<100K
---
# HistNERo
This repository contains the Historical Romanian Named Entity Recognition (HistNERo) dataset. The dataset has 10,026 sentences (i.e. 8,020 train, 1,003 valid and 1,003 train) annotated with five named entities: PERSON, ORGANIZATION, LOCATION, PRODUCT and DATE.
You can read more about the dataset in the following paper: [*HistNERo: Historical Named Entity Recognition for the Romanian Language*](https://arxiv.org/abs/2405.00155)
## Loading
To load the dataset, simply run:
```Python
from datasets import load_dataset
dataset = load_dataset("avramandrei/histnero")
```
Each sample respects the following format:
```json
{
"id": "528",
"ner_tags": [0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 3, 4, 4, 4, 4, 0],
"tokens": ["maĭ", "incóce", "vidu", "locuitoriĭ", "suburbiilorŭ", ",", "iar", "la", "riul", "Sabiĭului", "de", "càtrâ", "bisericâ", "romanéscâ", "gr.", "unitá", "Mai", "."],
"doc_id": "Brasov_20-_20Gazeta_20Transilvaniei_201852.ann",
"region": "Transylvania"
}
```
## Citation
```
@article{avram2024histnero,
title={HistNERo: Historical Named Entity Recognition for the Romanian Language},
author={Andrei-Marius Avram and Andreea Iuga and George-Vlad Manolache and Vlad-Cristian Matei and Răzvan-Gabriel Micliuş and Vlad-Andrei Muntean and Manuel-Petru Sorlescu and Dragoş-Andrei Şerban and Adrian-Dinu Urse and Vasile Păiş and Dumitru-Clementin Cercel},
journal={arXiv preprint arXiv:2405.00155},
year={2024}
}
```
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