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README.md

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----
-language:
-- en
-paperswithcode_id: xnli
-pretty_name: Cross-lingual Natural Language Inference
-dataset_info:
-- config_name: ar
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
-  - name: train
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-    num_examples: 392702
-  - name: test
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 109327504
-- config_name: bg
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
-  - name: train
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-    num_examples: 392702
-  - name: test
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 128320656
-- config_name: de
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
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-    num_examples: 392702
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 86175568
-- config_name: el
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 142299705
-- config_name: en
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 75752959
-- config_name: es
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
-  - name: train
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-  - name: test
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 82831855
-- config_name: fr
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
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-    num_examples: 392702
-  - name: test
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 87348458
-- config_name: hi
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
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-    num_examples: 392702
-  - name: test
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 173691288
-- config_name: ru
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
-  - name: train
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-    num_examples: 392702
-  - name: test
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 132249859
-- config_name: sw
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
-  - name: train
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-    num_examples: 392702
-  - name: test
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 70587562
-- config_name: th
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
-  - name: train
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-    num_examples: 392702
-  - name: test
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-    num_examples: 5010
-  - name: validation
-    num_bytes: 1061168
-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 179271403
-- config_name: tr
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
-  - name: train
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-    num_examples: 392702
-  - name: test
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 73031718
-- config_name: ur
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
-  - name: train
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-    num_examples: 392702
-  - name: test
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 98558015
-- config_name: vi
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
-  - name: train
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-    num_examples: 392702
-  - name: test
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 103198663
-- config_name: zh
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
-  - name: train
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-    num_examples: 392702
-  - name: test
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-    num_examples: 5010
-  - name: validation
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-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 73387957
-- config_name: all_languages
-  features:
-  - name: premise
-    dtype:
-      translation:
-        languages:
-        - ar
-        - bg
-        - de
-        - el
-        - en
-        - es
-        - fr
-        - hi
-        - ru
-        - sw
-        - th
-        - tr
-        - ur
-        - vi
-        - zh
-  - name: hypothesis
-    dtype:
-      translation_variable_languages:
-        languages:
-        - ar
-        - bg
-        - de
-        - el
-        - en
-        - es
-        - fr
-        - hi
-        - ru
-        - sw
-        - th
-        - tr
-        - ur
-        - vi
-        - zh
-        num_languages: 15
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  splits:
-  - name: train
-    num_bytes: 1581474731
-    num_examples: 392702
-  - name: test
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-    num_examples: 5010
-  - name: validation
-    num_bytes: 9566255
-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 1610428494
----
-
-# Dataset Card for "xnli"
-
-## 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:** [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:** 7384.70 MB
-- **Size of the generated dataset:** 3076.99 MB
-- **Total amount of disk used:** 10461.69 MB
-
-### 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
-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)
-
-### Languages
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Dataset Structure
-
-### Data Instances
-
-#### all_languages
-
-- **Size of downloaded dataset files:** 461.54 MB
-- **Size of the generated dataset:** 1535.82 MB
-- **Total amount of disk used:** 1997.37 MB
-
-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,
-    "premise": "{\"ar\": \"واحدة من رقابنا ستقوم بتنفيذ تعليماتك كلها بكل دقة\", \"bg\": \"един от нашите номера ще ви даде инструкции .\", \"de\": \"Eine ..."
-}
-```
-
-#### ar
-
-- **Size of downloaded dataset files:** 461.54 MB
-- **Size of the generated dataset:** 104.26 MB
-- **Total amount of disk used:** 565.81 MB
-
-An example of 'validation' looks as follows.
-```
-{
-    "hypothesis": "اتصل بأمه حالما أوصلته حافلة المدرسية.",
-    "label": 1,
-    "premise": "وقال، ماما، لقد عدت للمنزل."
-}
-```
-
-#### bg
-
-- **Size of downloaded dataset files:** 461.54 MB
-- **Size of the generated dataset:** 122.38 MB
-- **Total amount of disk used:** 583.92 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 .\"...",
-    "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:** 461.54 MB
-- **Size of the generated dataset:** 82.18 MB
-- **Total amount of disk used:** 543.73 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:** 461.54 MB
-- **Size of the generated dataset:** 135.71 MB
-- **Total amount of disk used:** 597.25 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.

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