|
--- |
|
annotations_creators: |
|
- crowdsourced |
|
- expert-generated |
|
- machine-generated |
|
language_creators: |
|
- crowdsourced |
|
- expert-generated |
|
- machine-generated |
|
language: |
|
- af |
|
- ar |
|
- az |
|
- be |
|
- bg |
|
- bn |
|
- ca |
|
- ceb |
|
- cs |
|
- cy |
|
- da |
|
- de |
|
- el |
|
- en |
|
- es |
|
- et |
|
- eu |
|
- fa |
|
- fi |
|
- fr |
|
- ga |
|
- gl |
|
- he |
|
- hi |
|
- hr |
|
- hu |
|
- hy |
|
- id |
|
- it |
|
- ja |
|
- ka |
|
- ko |
|
- la |
|
- lt |
|
- lv |
|
- ms |
|
- nl |
|
- pl |
|
- pt |
|
- ro |
|
- ru |
|
- sk |
|
- sl |
|
- sq |
|
- sr |
|
- sv |
|
- ta |
|
- th |
|
- tr |
|
- uk |
|
- ur |
|
- vi |
|
- zh |
|
license: |
|
- cc-by-nc-sa-4.0 |
|
multilinguality: |
|
- translation |
|
size_categories: |
|
- 100K<n<1M |
|
source_datasets: |
|
- extended|lama |
|
task_categories: |
|
- question-answering |
|
- text-classification |
|
task_ids: |
|
- open-domain-qa |
|
- text-scoring |
|
paperswithcode_id: null |
|
pretty_name: MLama |
|
tags: |
|
- probing |
|
dataset_info: |
|
features: |
|
- name: uuid |
|
dtype: string |
|
- name: lineid |
|
dtype: uint32 |
|
- name: obj_uri |
|
dtype: string |
|
- name: obj_label |
|
dtype: string |
|
- name: sub_uri |
|
dtype: string |
|
- name: sub_label |
|
dtype: string |
|
- name: template |
|
dtype: string |
|
- name: language |
|
dtype: string |
|
- name: predicate_id |
|
dtype: string |
|
config_name: all |
|
splits: |
|
- name: test |
|
num_bytes: 125919995 |
|
num_examples: 843143 |
|
download_size: 40772287 |
|
dataset_size: 125919995 |
|
--- |
|
|
|
# Dataset Card for [Dataset Name] |
|
|
|
## Table of Contents |
|
- [Dataset Description](#dataset-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
|
- [Languages](#languages) |
|
- [Dataset Structure](#dataset-structure) |
|
- [Data Instances](#data-instances) |
|
- [Data Fields](#data-fields) |
|
- [Data Splits](#data-splits) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Curation Rationale](#curation-rationale) |
|
- [Source Data](#source-data) |
|
- [Annotations](#annotations) |
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
- [Social Impact of Dataset](#social-impact-of-dataset) |
|
- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** [Multilingual LAMA](http://cistern.cis.lmu.de/mlama/) |
|
- **Repository:** [Github](https://github.com/norakassner/mlama) |
|
- **Paper:** [Arxiv](https://arxiv.org/abs/2102.00894) |
|
- **Point of Contact:** [Contact section](http://cistern.cis.lmu.de/mlama/) |
|
|
|
|
|
|
|
### Dataset Summary |
|
|
|
This dataset provides the data for mLAMA, a multilingual version of LAMA. |
|
Regarding LAMA see https://github.com/facebookresearch/LAMA. For mLAMA |
|
the TREx and GoogleRE part of LAMA was considered and machine translated using |
|
Google Translate, and the Wikidata and Google Knowledge Graph API. The machine |
|
translated templates were checked for validity, i.e., whether they contain |
|
exactly one '[X]' and one '[Y]'. |
|
|
|
This data can be used for creating fill-in-the-blank queries like |
|
"Paris is the capital of [MASK]" across 53 languages. For more details see |
|
the website http://cistern.cis.lmu.de/mlama/ or the github repo https://github.com/norakassner/mlama. |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
Language model knowledge probing. |
|
|
|
### Languages |
|
|
|
This dataset contains data in 53 languages: |
|
af,ar,az,be,bg,bn,ca,ceb,cs,cy,da,de,el,en,es,et,eu,fa,fi,fr,ga,gl,he,hi,hr,hu,hy,id,it,ja,ka,ko,la,lt,lv,ms,nl,pl,pt,ro,ru,sk,sl,sq,sr,sv,ta,th,tr,uk,ur,vi,zh |
|
|
|
## Dataset Structure |
|
For each of the 53 languages and each of the 43 relations/predicates there is a set of triples. |
|
|
|
### Data Instances |
|
For each language and relation there are triples, that consists of an object, a predicate and a subject. For each predicate there is a template available. An example for `dataset["test"][0]` is given here: |
|
```python |
|
{ |
|
'language': 'af', |
|
'lineid': 0, |
|
'obj_label': 'Frankryk', |
|
'obj_uri': 'Q142', |
|
'predicate_id': 'P1001', |
|
'sub_label': 'President van Frankryk', |
|
'sub_uri': 'Q191954', |
|
'template': "[X] is 'n wettige term in [Y].", |
|
'uuid': '3fe3d4da-9df9-45ba-8109-784ce5fba38a' |
|
} |
|
``` |
|
|
|
|
|
### Data Fields |
|
|
|
Each instance has the following fields |
|
* "uuid": a unique identifier |
|
* "lineid": a identifier unique to mlama |
|
* "obj_id": knowledge graph id of the object |
|
* "obj_label": surface form of the object |
|
* "sub_id": knowledge graph id of the subject |
|
* "sub_label": surface form of the subject |
|
* "template": template |
|
* "language": language code |
|
* "predicate_id": relation id |
|
|
|
|
|
### Data Splits |
|
|
|
There is only one partition that is labelled as 'test data'. |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
The dataset was translated into 53 languages to investigate knowledge in pretrained language models |
|
multilingually. |
|
|
|
### Source Data |
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
The data has several sources: |
|
|
|
LAMA (https://github.com/facebookresearch/LAMA) licensed under Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) |
|
T-REx (https://hadyelsahar.github.io/t-rex/) licensed under Creative Commons Attribution-ShareAlike 4.0 International License |
|
Google-RE (https://github.com/google-research-datasets/relation-extraction-corpus) |
|
Wikidata (https://www.wikidata.org/) licensed under Creative Commons CC0 License and Creative Commons Attribution-ShareAlike License |
|
|
|
#### Who are the source language producers? |
|
|
|
See links above. |
|
|
|
### Annotations |
|
|
|
#### Annotation process |
|
|
|
Crowdsourced (wikidata) and machine translated. |
|
|
|
#### Who are the annotators? |
|
|
|
Unknown. |
|
|
|
### Personal and Sensitive Information |
|
|
|
Names of (most likely) famous people who have entries in Google Knowledge Graph or Wikidata. |
|
|
|
## Considerations for Using the Data |
|
|
|
Data was created through machine translation and automatic processes. |
|
|
|
### Social Impact of Dataset |
|
|
|
[More Information Needed] |
|
|
|
### Discussion of Biases |
|
|
|
[More Information Needed] |
|
|
|
### Other Known Limitations |
|
|
|
Not all triples are available in all languages. |
|
|
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
The authors of the mLAMA paper and the authors of the original datasets. |
|
|
|
### Licensing Information |
|
|
|
The Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). https://creativecommons.org/licenses/by-nc-sa/4.0/ |
|
|
|
### Citation Information |
|
|
|
``` |
|
@article{kassner2021multilingual, |
|
author = {Nora Kassner and |
|
Philipp Dufter and |
|
Hinrich Sch{\"{u}}tze}, |
|
title = {Multilingual {LAMA:} Investigating Knowledge in Multilingual Pretrained |
|
Language Models}, |
|
journal = {CoRR}, |
|
volume = {abs/2102.00894}, |
|
year = {2021}, |
|
url = {https://arxiv.org/abs/2102.00894}, |
|
archivePrefix = {arXiv}, |
|
eprint = {2102.00894}, |
|
timestamp = {Tue, 09 Feb 2021 13:35:56 +0100}, |
|
biburl = {https://dblp.org/rec/journals/corr/abs-2102-00894.bib}, |
|
bibsource = {dblp computer science bibliography, https://dblp.org}, |
|
note = {to appear in EACL2021} |
|
} |
|
``` |
|
|
|
### Contributions |
|
|
|
Thanks to [@pdufter](https://github.com/pdufter) for adding this dataset. |
