Constarium
← Search

Data · dataset · 2022

BAJER: Annotations for Misogyny

Listed in Hugging Face Datasets

Dataset Card for "Bajer" Dataset

Description

Summary

This is a high-quality dataset of annotated posts sampled from social media posts and annotated for misogyny. Danish language. Online misogyny, a category of online abusive language, has serious and harmful social consequences.

Read the rest (1 more)

Automatic detection of misogynistic language online, while imperative, poses complicated challenges to both data gathering, data annotation, and bias mitigation, as this type of data is linguistically… See the full description on the dataset page: huggingface.co/datasets/strombergnlp/bajer_danish_misogyny.

Links

Get the data

Catalogue records · 1

Topics

Stated by source
text classification
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsstrombergnlp/bajer_danish_misogyny12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0