- Description:
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 B) and is a classification task (given two sentences, predict one of three labels).
Additional Documentation: Explore on Papers With Code
Source code:
tfds.text.Xnli
Versions:
1.1.0
(default): No release notes.
Download size:
17.04 MiB
Dataset size:
29.62 MiB
Auto-cached (documentation): Yes
Splits:
Split | Examples |
---|---|
'test' |
5,010 |
'validation' |
2,490 |
- Feature structure:
FeaturesDict({
'hypothesis': TranslationVariableLanguages({
'language': Text(shape=(), dtype=string),
'translation': Text(shape=(), dtype=string),
}),
'label': ClassLabel(shape=(), dtype=int64, num_classes=3),
'premise': Translation({
'ar': Text(shape=(), dtype=string),
'bg': Text(shape=(), dtype=string),
'de': Text(shape=(), dtype=string),
'el': Text(shape=(), dtype=string),
'en': Text(shape=(), dtype=string),
'es': Text(shape=(), dtype=string),
'fr': Text(shape=(), dtype=string),
'hi': Text(shape=(), dtype=string),
'ru': Text(shape=(), dtype=string),
'sw': Text(shape=(), dtype=string),
'th': Text(shape=(), dtype=string),
'tr': Text(shape=(), dtype=string),
'ur': Text(shape=(), dtype=string),
'vi': Text(shape=(), dtype=string),
'zh': Text(shape=(), dtype=string),
}),
})
- Feature documentation:
Feature | Class | Shape | Dtype | Description |
---|---|---|---|---|
FeaturesDict | ||||
hypothesis | TranslationVariableLanguages | |||
hypothesis/language | Text | string | ||
hypothesis/translation | Text | string | ||
label | ClassLabel | int64 | ||
premise | Translation | |||
premise/ar | Text | string | ||
premise/bg | Text | string | ||
premise/de | Text | string | ||
premise/el | Text | string | ||
premise/en | Text | string | ||
premise/es | Text | string | ||
premise/fr | Text | string | ||
premise/hi | Text | string | ||
premise/ru | Text | string | ||
premise/sw | Text | string | ||
premise/th | Text | string | ||
premise/tr | Text | string | ||
premise/ur | Text | string | ||
premise/vi | Text | string | ||
premise/zh | Text | string |
Supervised keys (See
as_supervised
doc):None
Figure (tfds.show_examples): Not supported.
Examples (tfds.as_dataframe):
- Citation:
@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",
}