Create dataset xnli

- uid: xnli
- type: primary
- description:
- name: XNLI
- description: it is a Cross-lingual Natural Language Inference corpus that
- homepage: https://github.com/facebookresearch/XNLI
- validated: True
- languages:
- language_names:
- English
- French
- Spanish
- Arabic
- Vietnamese
- Chinese
- ar-MSA
- German
- Greek languages
- Bulgarian
- Russian
- Arabic
- Turkish
- Thai
- Hindi
- Swahili (macrolanguage)
- Urdu
- language_comments:
- language_locations:
- validated: False
- custodian:
- name:
- in_catalogue:
- type:
- location:
- contact_name: XNLI
- contact_email:
- contact_submitter: False
- additional:
- validated: False
- availability:
- procurement:
- for_download: Yes - it has a direct download link or links
- download_url: https://dl.fbaipublicfiles.com/XNLI/XNLI-MT-1.0.zip
- download_email:
- licensing:
- has_licenses: Yes
- license_text:
- license_properties:
- open license
- public domain
- license_list:
- pii:
- has_pii: Unclear
- generic_pii_likely:
- generic_pii_list:
- numeric_pii_likely:
- numeric_pii_list:
- sensitive_pii_likely:
- sensitive_pii_list:
- no_pii_justification_class: general knowledge not written by or referring to private persons
- no_pii_justification_text:
- validated: False
- source_category:
- category_type: collection
- category_web:
- category_media:
- validated: False
- media:
- category:
- text
- text_format:
- .CSV
- audiovisual_format:
- image_format:
- database_format:
- .ZIP
- text_is_transcribed: Yes - audiovisual
- instance_type:
- instance_count: 100K

Start by locating the existing dataset metadata entries and compare their structure with the requested xnli.json record. Add the XNLI metadata using the supplied download URL, language list, licensing details, and media fields; done means the record follows the repository's schema and is included with the other datasets.

Written by the indexing model from the issue text.