---
language:
- en
- it
- de
- es
license: other
size_categories:
- 1K<n<10K
task_categories:
- token-classification
license_name: europarl-custom
license_link: https://www.statmt.org/europarl/
tags:
- NER
- Europarl
- named-entity-recognition
- annotation-projection
- XLNER
- cross-lingual-ner
config_names:
- en
- de
- es
- it
dataset_info:
- config_name: en
features:
- name: tokens
sequence: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B-PER
'2': I-PER
'3': B-ORG
'4': I-ORG
'5': B-LOC
'6': I-LOC
'7': B-MISC
'8': I-MISC
splits:
- name: test
num_bytes: 374649
num_examples: 799
download_size: 64713
dataset_size: 374649
- config_name: de
features:
- name: tokens
sequence: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B-PER
'2': I-PER
'3': B-ORG
'4': I-ORG
'5': B-LOC
'6': I-LOC
'7': B-MISC
'8': I-MISC
splits:
- name: test
num_bytes: 363699
num_examples: 799
download_size: 75342
dataset_size: 363699
- config_name: es
features:
- name: tokens
sequence: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B-PER
'2': I-PER
'3': B-ORG
'4': I-ORG
'5': B-LOC
'6': I-LOC
'7': B-MISC
'8': I-MISC
splits:
- name: test
num_bytes: 397365
num_examples: 799
download_size: 72873
dataset_size: 397365
- config_name: it
features:
- name: tokens
sequence: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B-PER
'2': I-PER
'3': B-ORG
'4': I-ORG
'5': B-LOC
'6': I-LOC
'7': B-MISC
'8': I-MISC
splits:
- name: test
num_bytes: 381584
num_examples: 799
download_size: 72932
dataset_size: 381584
configs:
- config_name: en
data_files:
- split: test
path: en/test-*
default: true
- config_name: de
data_files:
- split: test
path: de/test-*
- config_name: es
data_files:
- split: test
path: es/test-*
- config_name: it
data_files:
- split: test
path: it/test-*
---
# Dataset Card for Europarl-ner
**This dataset is an adapted to HF datasets copy of "Evaluation Corpus for Named Entity Recognition using Europarl" available on [GitHub](https://github.com/ixa-ehu/ner-evaluation-corpus-europarl/tree/master)**
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Original description](#original-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Additional Information](#additional-information)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
## Dataset Description
### Dataset Summary
This dataset consists of parallel sentences labeled with CONLL2003 tags, which allows use it for the evaluation of cross-lingual annotation projection methods for cross lingual named entity recognition.
### Original description
This dataset contains a gold-standard test set created from the Europarl corpus. The test set consists of 799 sentences manually annotated using four entity types and following the CoNLL 2002 and 2003 guidelines for 4 languages: English, German, Italian and Spanish.
If you use this corpus for your research, please cite the following publication:
> Rodrigo Agerri, Yiling Chung, Itziar Aldabe, Nora Aranberri, Gorka Labaka and German Rigau (2018). Building Named Entity Recognition Taggers via Parallel Corpora. In Proceedings of the 11th Language Resources and Evaluation Conference (LREC 2018), 7-12 May, 2018, Miyazaki, Japan.
You should also consider citing the original Europarl publication:
> Europarl: A Parallel Corpus for Statistical Machine Translation, Philipp Koehn, MT Summit 2005.
This evaluation corpus was manually annotated by Nora Aranberri.
### Languages
The dataset contains 4 languages, one in each of the configuration subsets:
- en - English
- de - German
- es - Spanish
- it - Italian
## Dataset Structure
### Data Instances
This is an example in the "test" split of the "en" (English language) configuration subset:
```python
{
'tokens': ["Thank", "you", ",", "Mr", "Segni", ",", "I", "shall", "do", "so", "gladly", "."],
'ner_tags': [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0],
}
```
### Data Fields
- `tokens`: a `list` of `string` features.
- `ner_tags`: a `list` of classification labels, with possible values including `O` (0), `B-PER` (1), `I-PER` (2), `B-ORG` (3), `I-ORG` (4), `B-LOC` (5), `I-LOC` (6), `B-MISC` (7), `I-MISC` (8),
### Data Splits
Every subset contains only a test split with 799 rows.
## Additional Information
### Licensing Information
The citation from the original repo:
> We follow the original Europarl terms of use which states : "We are not aware of any copyright restrictions of the material." For more details, please visit http://www.statmt.org/europarl/
### Citation Information
Authors ask to cite the following publications:
```
@inproceedings{agerri-etal-2018-building,
title = "Building Named Entity Recognition Taggers via Parallel Corpora",
author = "Agerri, Rodrigo and
Chung, Yiling and
Aldabe, Itziar and
Aranberri, Nora and
Labaka, Gorka and
Rigau, German",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Hasida, Koiti and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios and
Tokunaga, Takenobu",
booktitle = "Proceedings of the Eleventh International Conference on Language Resources and Evaluation ({LREC} 2018)",
month = may,
year = "2018",
address = "Miyazaki, Japan",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L18-1557"
```
```
@inproceedings{koehn2005europarl,
title={Europarl: A parallel corpus for statistical machine translation},
author={Koehn, Philipp},
booktitle={Proceedings of machine translation summit x: papers},
pages={79--86},
year={2005}
}
```