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Synthetic Datasets for Fine-Grained Fairness Analysis of Abusive Language Detection Systems
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Synthetic Datasets for Fine-Grained Fairness ...CSV
Three synthetic datasets covering different types of bias grouped by target,...
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Personal Data Attributes
Field | Value |
---|---|
ChildrenData | No |
Cross Border Authorised | Yes |
General Data | Yes |
Personal Data | No |
Personal data was manifestly made public by the data subject | No |
Sensitive Data | No |
Additional Info
Field | Value |
---|---|
Accessibility | Both |
Accessibility Mode | OnLine Access |
Attribution requirements | Manerba, Marta Marchiori, and Sara Tonelli. "Fine-grained fairness analysis of abusive language detection systems with checklist." Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021). 2021. |
Availability | On-Line |
Basic rights | Modification |
Creation Date | 2021-12-22 |
Creator | Marchiori Manerba, Marta, marta.marchiori@phd.unipi.it |
Dataset Citation | Manerba, Marta Marchiori, and Sara Tonelli. "Fine-grained fairness analysis of abusive language detection systems with checklist." Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021). 2021. |
Dataset Re-Use Safeguards | / |
Display requirements | Paper citation |
Field/Scope of use | Any use |
Format | csv |
Format Schema | text, label |
Group | Societal Debates and Misinformation |
Language | eng, English |
License term | 2023-11-27 /2026-11-27 |
Manifestation Type | Original |
Processing Degree | Primary |
Retention Period | 2026-11-27 /2026-11-30 |
Size | 5623 ; 1900 ; 220 |
SoBigData Node | SoBigData EU |
SoBigData Node | SoBigData IT |
Sublicense rights | No |
Territory of use | World Wide |
Thematic Cluster | Text and Social Media Mining [TSMM] |
system:type | Dataset |
Management Info
Field | Value |
---|---|
Author | MARCHIORI MANERBA MARTA |
Maintainer | MARCHIORI MANERBA MARTA |
Version | 1 |
Last Updated | 1 December 2023, 09:19 (CET) |
Created | 27 November 2023, 16:18 (CET) |