All datasets / neuralcatcher
neuralcatcher/hateful_memes
The checks could not identify a recognised licence ID in the dataset's metadata.
- Declared licenceNot declared in the tag or the card (see datasets with no declared licence)Evidence: README.md at d201c48
- Licence filesLICENSE.txt, licence not identifiedEvidence: LICENSE.txt at d201c48
- Declared sourcesNone listed in the card metadata
- Access gated on Hugging FaceNo
Citation text from the card
@inproceedings{Kiela:2020hatefulmemes,
author = {Kiela, Douwe and Firooz, Hamed and Mohan, Aravind and Goswami, Vedanuj and Singh, Amanpreet and Ringshia, Pratik and Testuggine, Davide},
booktitle = {Advances in Neural Information Processing Systems},
editor = {H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin},
pages = {2611--2624},
publisher = {Curran Associates, Inc.},
title = {The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes},
url = {https://proceedings.neurips.cc/paper/2020/file/1b84c4cee2b8b3d823b30e2d604b1878-Paper.pdf},
volume = {33},
year = {2020}
}
The same facts for your agent
A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.
dataset_licence({ "id": "neuralcatcher/hateful_memes" })
signal: "unclear"
stated_licence: null
sources: 0
Licence facts reported by the dataset and its declared sources. Not legal advice, and not a grant of permission to use the dataset.