Create dataset bhaskar

- uid: bhaskar
- type: primary
- description:
- name: bhaskar
- description: Hindi news production
- homepage: https://www.bhaskar.com/
- validated: True
- languages:
- language_names:
- Indic
- Hindi
- language_comments:
- language_locations:
- Southern Asia
- India
- validated: False
- custodian:
- name: Bhaskar
- in_catalogue:
- type: A commercial entity
- location: India
- contact_name: bhaskar
- contact_email: dbcorpqueries@dbcorp.in
- contact_submitter: False
- additional:
- validated: False
- availability:
- procurement:
- for_download: No - we would need to spontaneously reach out to the current owners/custodians
- download_url:
- download_email: dbcorpqueries@dbcorp.in
- licensing:
- has_licenses: Yes
- license_text:
- license_properties:
- copyright - all rights reserved
- license_list:
- pii:
- has_pii: Yes
- generic_pii_likely:
- generic_pii_list:
- numeric_pii_likely:
- numeric_pii_list:
- sensitive_pii_likely:
- sensitive_pii_list:
- 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:
- .TXT
- .PAGES
- audiovisual_format:
- image_format:
- .JPG
- database_format:
- text_is_transcribed: Yes - image
- instance_type:
- instance_count:
- instance_size:
- validated: False
- fname: bhaskar.json

Use the issue body as the source for the new dataset record and create the named file bhaskar.json. First locate the repository's existing dataset records to determine placement and formatting; done means the Bhaskar metadata, including its Hindi and India details, is represented in that file.

Written by the indexing model from the issue text.