Create dataset tsac

- uid: tsac
- type: primary
- description:
- name: TSAC
- description: Tunisian sentiment analysis corpus. The dataset contains 17K user comments manually annotated to positive and negative. The corpus is collected from Facebook comments on official pages of Tunisian radios and TV channels. The dataset is collected between Jan 2015 and June 2016.
- homepage: https://github.com/fbougares/TSAC
- validated: True
- languages:
- language_names:
- Arabic
- ar-TN
- language_comments:
- language_locations:
- Northern Africa
- Tunisia
- validated: False
- custodian:
- name:
- in_catalogue:
- type:
- location:
- contact_name:
- contact_email:
- contact_submitter: False
- additional:
- validated: False
- availability:
- procurement:
- for_download: Yes - it has a direct download link or links
- download_url: https://github.com/fbougares/TSAC
- download_email:
- licensing:
- has_licenses: Yes
- license_text: Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed.
- license_properties:
- open license
- license_list:
- lgpl-3.0: GNU Lesser General Public License v3.0 only
- 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: website
- category_web:
- category_media:
- validated: False
- media:
- category:
- text
- text_format:
- .TXT
- audiovisual_format:
- image_format:
- database_format:
- .ZIP
- text_is_transcribed: No
- instance_type: post
- instance_count: 1K

Create the dataset entry in tsac.json using the supplied TSAC metadata, download URL, licensing details, language, and media fields. Review the issue text against the resulting file and confirm the entry is complete and consistently structured with the requested values.

由索引模型根据 Issue 内容生成。