|
--- |
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language: |
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- ar |
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- bg |
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- de |
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- el |
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- en |
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- es |
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- fr |
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- hi |
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- ru |
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- sw |
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- th |
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- tr |
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- ur |
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- vi |
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- zh |
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paperswithcode_id: xnli |
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pretty_name: Cross-lingual Natural Language Inference |
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configs: |
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- config_name: default |
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data_files: |
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- path: test/*.parquet |
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split: test |
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- path: train/*.parquet |
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split: train |
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- path: validation/*.parquet |
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split: validation |
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- config_name: ar |
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data_files: |
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- path: test/ar.parquet |
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split: test |
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- path: train/ar.parquet |
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split: train |
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- path: validation/ar.parquet |
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split: validation |
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- config_name: ru |
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data_files: |
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- path: test/ru.parquet |
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split: test |
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- path: train/ru.parquet |
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split: train |
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- path: validation/ru.parquet |
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split: validation |
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- config_name: el |
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data_files: |
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- path: test/el.parquet |
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split: test |
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- path: train/el.parquet |
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split: train |
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- path: validation/el.parquet |
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split: validation |
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- config_name: th |
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data_files: |
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- path: test/th.parquet |
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split: test |
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- path: train/th.parquet |
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split: train |
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- path: validation/th.parquet |
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split: validation |
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- config_name: fr |
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data_files: |
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- path: test/fr.parquet |
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split: test |
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- path: train/fr.parquet |
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split: train |
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- path: validation/fr.parquet |
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split: validation |
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- config_name: de |
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data_files: |
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- path: test/de.parquet |
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split: test |
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- path: train/de.parquet |
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split: train |
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- path: validation/de.parquet |
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split: validation |
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- config_name: zh |
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data_files: |
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- path: test/zh.parquet |
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split: test |
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- path: train/zh.parquet |
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split: train |
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- path: validation/zh.parquet |
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split: validation |
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- config_name: ur |
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data_files: |
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- path: test/ur.parquet |
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split: test |
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- path: train/ur.parquet |
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split: train |
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- path: validation/ur.parquet |
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split: validation |
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- config_name: sw |
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data_files: |
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- path: test/sw.parquet |
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split: test |
|
- path: train/sw.parquet |
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split: train |
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- path: validation/sw.parquet |
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split: validation |
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- config_name: bg |
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data_files: |
|
- path: test/bg.parquet |
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split: test |
|
- path: train/bg.parquet |
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split: train |
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- path: validation/bg.parquet |
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split: validation |
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- config_name: es |
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data_files: |
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- path: test/es.parquet |
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split: test |
|
- path: train/es.parquet |
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split: train |
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- path: validation/es.parquet |
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split: validation |
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- config_name: en |
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data_files: |
|
- path: test/en.parquet |
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split: test |
|
- path: train/en.parquet |
|
split: train |
|
- path: validation/en.parquet |
|
split: validation |
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- config_name: vi |
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data_files: |
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- path: test/vi.parquet |
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split: test |
|
- path: train/vi.parquet |
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split: train |
|
- path: validation/vi.parquet |
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split: validation |
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- config_name: tr |
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data_files: |
|
- path: test/tr.parquet |
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split: test |
|
- path: train/tr.parquet |
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split: train |
|
- path: validation/tr.parquet |
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split: validation |
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- config_name: hi |
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data_files: |
|
- path: test/hi.parquet |
|
split: test |
|
- path: train/hi.parquet |
|
split: train |
|
- path: validation/hi.parquet |
|
split: validation |
|
--- |
|
|
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# Dataset Card for "xnli" |
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|
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## Table of Contents |
|
- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** [https://www.nyu.edu/projects/bowman/xnli/](https://www.nyu.edu/projects/bowman/xnli/) |
|
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
- **Size of downloaded dataset files:** 7.74 GB |
|
- **Size of the generated dataset:** 3.23 GB |
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- **Total amount of disk used:** 10.97 GB |
|
|
|
### Dataset Summary |
|
|
|
XNLI is a subset of a few thousand examples from MNLI which has been translated |
|
into a 14 different languages (some low-ish resource). As with MNLI, the goal is |
|
to predict textual entailment (does sentence A imply/contradict/neither sentence |
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B) and is a classification task (given two sentences, predict one of three |
|
labels). |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
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### Languages |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
|
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#### all_languages |
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|
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- **Size of downloaded dataset files:** 483.96 MB |
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- **Size of the generated dataset:** 1.61 GB |
|
- **Total amount of disk used:** 2.09 GB |
|
|
|
An example of 'train' looks as follows. |
|
``` |
|
This example was too long and was cropped: |
|
|
|
{ |
|
"hypothesis": "{\"language\": [\"ar\", \"bg\", \"de\", \"el\", \"en\", \"es\", \"fr\", \"hi\", \"ru\", \"sw\", \"th\", \"tr\", \"ur\", \"vi\", \"zh\"], \"translation\": [\"احد اع...", |
|
"label": 0, |
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"premise": "{\"ar\": \"واحدة من رقابنا ستقوم بتنفيذ تعليماتك كلها بكل دقة\", \"bg\": \"един от нашите номера ще ви даде инструкции .\", \"de\": \"Eine ..." |
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} |
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``` |
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|
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#### ar |
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|
|
- **Size of downloaded dataset files:** 483.96 MB |
|
- **Size of the generated dataset:** 109.32 MB |
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- **Total amount of disk used:** 593.29 MB |
|
|
|
An example of 'validation' looks as follows. |
|
``` |
|
{ |
|
"hypothesis": "اتصل بأمه حالما أوصلته حافلة المدرسية.", |
|
"label": 1, |
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"premise": "وقال، ماما، لقد عدت للمنزل." |
|
} |
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``` |
|
|
|
#### bg |
|
|
|
- **Size of downloaded dataset files:** 483.96 MB |
|
- **Size of the generated dataset:** 128.32 MB |
|
- **Total amount of disk used:** 612.28 MB |
|
|
|
An example of 'train' looks as follows. |
|
``` |
|
This example was too long and was cropped: |
|
|
|
{ |
|
"hypothesis": "\"губиш нещата на следното ниво , ако хората си припомнят .\"...", |
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"label": 0, |
|
"premise": "\"по време на сезона и предполагам , че на твоето ниво ще ги загубиш на следващото ниво , ако те решат да си припомнят отбора на ..." |
|
} |
|
``` |
|
|
|
#### de |
|
|
|
- **Size of downloaded dataset files:** 483.96 MB |
|
- **Size of the generated dataset:** 86.17 MB |
|
- **Total amount of disk used:** 570.14 MB |
|
|
|
An example of 'train' looks as follows. |
|
``` |
|
This example was too long and was cropped: |
|
|
|
{ |
|
"hypothesis": "Man verliert die Dinge auf die folgende Ebene , wenn sich die Leute erinnern .", |
|
"label": 0, |
|
"premise": "\"Du weißt , während der Saison und ich schätze , auf deiner Ebene verlierst du sie auf die nächste Ebene , wenn sie sich entschl..." |
|
} |
|
``` |
|
|
|
#### el |
|
|
|
- **Size of downloaded dataset files:** 483.96 MB |
|
- **Size of the generated dataset:** 142.30 MB |
|
- **Total amount of disk used:** 626.26 MB |
|
|
|
An example of 'validation' looks as follows. |
|
``` |
|
This example was too long and was cropped: |
|
|
|
{ |
|
"hypothesis": "\"Τηλεφώνησε στη μαμά του μόλις το σχολικό λεωφορείο τον άφησε.\"...", |
|
"label": 1, |
|
"premise": "Και είπε, Μαμά, έφτασα στο σπίτι." |
|
} |
|
``` |
|
|
|
### Data Fields |
|
|
|
The data fields are the same among all splits. |
|
|
|
#### all_languages |
|
- `premise`: a multilingual `string` variable, with possible languages including `ar`, `bg`, `de`, `el`, `en`. |
|
- `hypothesis`: a multilingual `string` variable, with possible languages including `ar`, `bg`, `de`, `el`, `en`. |
|
- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2). |
|
|
|
#### ar |
|
- `premise`: a `string` feature. |
|
- `hypothesis`: a `string` feature. |
|
- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2). |
|
|
|
#### bg |
|
- `premise`: a `string` feature. |
|
- `hypothesis`: a `string` feature. |
|
- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2). |
|
|
|
#### de |
|
- `premise`: a `string` feature. |
|
- `hypothesis`: a `string` feature. |
|
- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2). |
|
|
|
#### el |
|
- `premise`: a `string` feature. |
|
- `hypothesis`: a `string` feature. |
|
- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2). |
|
|
|
### Data Splits |
|
|
|
| name |train |validation|test| |
|
|-------------|-----:|---------:|---:| |
|
|all_languages|392702| 2490|5010| |
|
|ar |392702| 2490|5010| |
|
|bg |392702| 2490|5010| |
|
|de |392702| 2490|5010| |
|
|el |392702| 2490|5010| |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Source Data |
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
#### Who are the source language producers? |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Annotations |
|
|
|
#### Annotation process |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
#### Who are the annotators? |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Personal and Sensitive Information |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Discussion of Biases |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Other Known Limitations |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Licensing Information |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Citation Information |
|
|
|
``` |
|
@InProceedings{conneau2018xnli, |
|
author = {Conneau, Alexis |
|
and Rinott, Ruty |
|
and Lample, Guillaume |
|
and Williams, Adina |
|
and Bowman, Samuel R. |
|
and Schwenk, Holger |
|
and Stoyanov, Veselin}, |
|
title = {XNLI: Evaluating Cross-lingual Sentence Representations}, |
|
booktitle = {Proceedings of the 2018 Conference on Empirical Methods |
|
in Natural Language Processing}, |
|
year = {2018}, |
|
publisher = {Association for Computational Linguistics}, |
|
location = {Brussels, Belgium}, |
|
} |
|
``` |
|
|
|
|
|
### Contributions |
|
|
|
Thanks to [@lewtun](https://github.com/lewtun), [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset. |
|
|