datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hateful-memes-data
Hateful Memes (CS5242 submission mirror)
Mirror of the Facebook Hateful Memes Challenge dataset (Kiela et al., 2020)
used for reproducibility of our CS5242 (NUS) submission.
Contents
img/ — 10,000 PNG images of memes
train.jsonl (8,500), dev_seen.jsonl (500), dev_unseen.jsonl (540),
test_seen.jsonl (1,000), test_unseen.jsonl (2,000)
Provenance
This mirror merges two existing mirrors of the original Meta release:
Label files and most images from… See the full description on the dataset page: https://huggingface.co/datasets/cs5242-hateful-memes/hateful-memes-data.hateful_memes
Facebook Hateful Memes Dataset
Complete version of the Hateful Memes Challenge
dataset (Kiela et al., 2020) with all images included.
Dataset Description
Hateful memes combine individually benign images and text to produce hateful
content. The hate lives in the interaction between modalities, making this
one of the hardest content moderation benchmarks.
The dataset includes confounders: meme pairs that share the same text (or
image) but carry opposite labels, forcing… See the full description on the dataset page: https://huggingface.co/datasets/dffeewew/hateful_memes.BHM-Bengali-Hateful-Memes
Dataset Description
BHM is a novel multimodal dataset for Bengali Hateful Memes detection. The dataset consists of 7,148 memes with Bengali as well as code-mixed captions,
tailored for two tasks: (i) detecting hateful memes and (ii) detecting the social entities they target (i.e., Individual, Organization, Community, and Society).
Paper Information
Paper: https://aclanthology.org/2024.acl-long.454/
Code:… See the full description on the dataset page: https://huggingface.co/datasets/Eftekhar/BHM-Bengali-Hateful-Memes.hateful_memes
Facebook Hateful Memes Dataset
Complete version of the Hateful Memes Challenge
dataset (Kiela et al., 2020) with all images included.
Dataset Description
Hateful memes combine individually benign images and text to produce hateful
content. The hate lives in the interaction between modalities, making this
one of the hardest content moderation benchmarks.
The dataset includes confounders: meme pairs that share the same text (or
image) but carry opposite labels, forcing… See the full description on the dataset page: https://huggingface.co/datasets/ccxhwmy/hateful_memes.hateful-memes-data
Hateful Memes (CS5242 submission mirror)
Mirror of the Facebook Hateful Memes Challenge dataset (Kiela et al., 2020)
used for reproducibility of our CS5242 (NUS) submission.
Contents
img/ — 10,000 PNG images of memes
train.jsonl (8,500), dev_seen.jsonl (500), dev_unseen.jsonl (540),
test_seen.jsonl (1,000), test_unseen.jsonl (2,000)
Provenance
This mirror merges two existing mirrors of the original Meta release:
Label files and most images from… See the full description on the dataset page: https://huggingface.co/datasets/panjiyarsunil/hateful-memes-data.Arabic-Hateful-Memes
Arabic Hateful Memes (ArHateMeme) — Public Sample
This repository hosts a 100-example diversity-sampled preview drawn from the
training split of the ArHateMeme dataset: 5,000 Arabic memes manually
annotated for hatefulness and fine-grained sub-types. The full dataset will be
released alongside the associated shared task.
⚠️ This preview is intended for format inspection, tooling validation, and
schema alignment only. It is not a benchmark and should not be used for
model… See the full description on the dataset page: https://huggingface.co/datasets/QCRI/Arabic-Hateful-Memes.