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Hateful Meme Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
0
평가표
4
보존된 평가 기록
21

Hateful meme classification aims to detect harmful content within the text or images of memes.

데이터셋

출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.

Hateful Memes

The Hateful Memes data set is a multimodal dataset for hateful meme detection (image + text) that contains 10,000+ new multimodal examples created by Facebook AI. Images were licensed from Getty Images so that researchers can use the data set to support their work.

Harm-C

Harm-C is a dataset for detecting harmful memes related to Covid-19.

HarMeme

HarMeme is a benchmark dataset for hateful meme classification containing 3, 544 memes related to COVID-19 collected from the Internet

Harm-P

Harm-P contains around 3,000 memes related to US politics.

PrideMM

PrideMM comprising 5,063 text-embedded images associated with the LGBTQ+ Pride movement

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.