Create dataset ekantipur_com

- uid: ekantipur_com
- type: primary
- description:
- name: ekantipur.com
- description: Kantipur (Nepali: कान्तिपुर) is a Nepali language daily newspaper,
- homepage: https://ekantipur.com/
- validated: True
- languages:
- language_names:
- Indic
- Nepali (macrolanguage)
- language_comments:
- language_locations:
- Southern Asia
- Nepal
- validated: False
- custodian:
- name: Kantipur Media Group
- in_catalogue:
- type: A commercial entity
- location: Nepal
- contact_name: ekantipur.com/
- contact_email: csd@kmg.com.np
- contact_submitter: False
- additional: https://en.wikipedia.org/wiki/Kantipur_(daily)
- validated: False
- availability:
- procurement:
- for_download: No - we would need to spontaneously reach out to the current owners/custodians
- download_url:
- download_email: csd@kmg.com.np
- licensing:
- has_licenses: Yes
- license_text: https://ekantipur.com/termsofservice
- license_properties:
- copyright - all rights reserved
- license_list:
- other: Other license
- pii:
- has_pii: Yes
- generic_pii_likely: very likely
- generic_pii_list:
- names
- physical addresses
- full-face photographs and comparable images
- numeric_pii_likely: somewhat likely
- numeric_pii_list:
- telephone numbers
- health plan beneficiary numbers
- certificate/license numbers
- vehicle identifiers and serial numbers
- social security numbers
- account numbers
- sensitive_pii_likely: very likely
- sensitive_pii_list:
- political opinions
- health-related data
- racial or ethnic origin
- data concerning a person's sex life or sexual orientation
- religious or philosophical beliefs
- no_pii_justification_class:
- no_pii_justification_text:
- validated: False
- source_category:
- category_type: website
- category_web: news or magazine website
- category_media:
- validated: False
- media:
- category:
- text
- text_format:
- .HTML
- audiovisual_format:
- image_format:
- database_format:
- text_is_transcribed: No
- instance_type: article
- instance_count: 10K

issue で提供されているメタデータを使用して、ekantipur_com.json という名前の dataset エントリを作成します。まず、リポジトリに既存の dataset ファイルと検証ワークフローを確認し、その後、新しいエントリが想定される構造に一致し、ekantipur.com のソースを正確に表していることを確認します。

索引モデルが issue の本文から書いたものです。