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

Crea la voce del dataset in tsac.json utilizzando i metadati TSAC forniti, l’URL di download, i dettagli della licenza, la lingua e i campi multimediali. Esamina il testo dell’issue confrontandolo con il file risultante e conferma che la voce sia completa e strutturata in modo coerente con i valori richiesti.

Scritto dal modello di indicizzazione a partire dal testo della issue.