bigscience-workshop / bigscience-workshop/data_tooling
Create dataset editora_trinta_nove_mozambique
- Dominant language
- HTML
- Stars
- 91
- Forks
- 47
- PR merge metrics
- No merged PRs in 30d
Description
- uid: editora_trinta_nove_mozambique
- type: primary
- description:
- name: Editora Trinta Nove Mozambique
- description:
- homepage: https://www.africanbookscollective.com/publishers/editora-trinta-zero-nove
- validated: True
- languages:
- language_names:
- Niger-Congo
- language_comments: Emakhuwa
- language_locations:
- Africa
- Mozambique
- validated: False
- custodian:
- name:
- in_catalogue:
- type: A commercial entity
- location: Mozambique
- contact_name:
- contact_email:
- contact_submitter: False
- additional: https://www.africanbookscollective.com/publishers/editora-trinta-zero-nove
- validated: False
- availability:
- procurement:
- for_download: No - but the current owners/custodians have contact information for data queries
- download_url:
- download_email:
- licensing:
- has_licenses: Unclear
- license_text:
- license_properties:
- 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:
- category_media:
- validated: False
- media:
- category:
- text
- text_format:
- audiovisual_format:
- image_format:
- database_format:
- text_is_transcribed: No
- instance_type: book
- instance_count:
- instance_size:
- validated: False
- fname: editora_trinta_nove_mozambique.json
Contributor guide
No contributing guide indexed for this repository
Research direction
Use the issue's field list as the specification for editora_trinta_nove_mozambique.json. Check the repository's existing dataset-entry conventions before creating the file, and confirm that the filename, uid, metadata, validation flags, and source details match the requested record when done.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- json
- Domain
- data
- Issue type
- Feature
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 50/100