datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
solana-memecoin-calls
Solana memecoin calls — a public record with the misses left in
8,161 pump.fun token calls, each with the market cap we called it at, the peak it reached
afterwards, and the exact second it was posted publicly. The whole file is hashed and the hash is
anchored in a Bitcoin block, so no row can be added, edited or back-dated after the fact.
Every trading channel publishes its winners. This is the same feed with the losers still in it —
about six calls in ten never double, and… See the full description on the dataset page: https://huggingface.co/datasets/Smurfetc/solana-memecoin-calls.memerag
MEMERAG Faithfulness LLM-Judge Labels
This dataset extends MEMERAG (Cruz Blandón et al., 2025, ACL 2025,
arXiv:2502.17163) with LLM-judge faithfulness predictions from gpt-5.4, reusing
MEMERAG's own data and judge prompt templates.
Files
File
Description
memerag_llm_judge_<prompt_variant>_<model>.jsonl
LLM-judge predictions (produced by scripts/annotate_memerag.py)
scripts/
Reproduction scripts (see below)
Dataset statistics… See the full description on the dataset page: https://huggingface.co/datasets/Glide-py/memerag.MEME
MEME: Multi-Entity and Evolving Memory Evaluation
A benchmark for evaluating LLM memory systems along two orthogonal dimensions: entity scope (single vs. multi-entity) and temporal dynamics (static vs. evolving). MEME defines six tasks targeting memory-intensive operations in each quadrant, including two task types that no prior benchmark covers: Cascade (propagating updates through dependency rules) and Absence (recognizing uncertainty when a previously valid answer becomes… See the full description on the dataset page: https://huggingface.co/datasets/meme-benchmark/MEME.photo-memes-reddithateful_memes
The Hateful Memes Challenge README
The Hateful Memes Challenge is a dataset and benchmark created by Facebook AI to drive and measure progress on multimodal reasoning and understanding. The task focuses on detecting hate speech in multimodal memes.
Please see the paper for further details:
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
D. Kiela, H. Firooz, A. Mohan, V. Goswami, A. Singh, P. Ringshia, D. Testuggine
Dataset details
The files for… See the full description on the dataset page: https://huggingface.co/datasets/lisz1012/hateful_memes.hateful-memes
The Hateful Memes Challenge README
The Hateful Memes Challenge is a dataset and benchmark created by Facebook AI to drive and measure progress on multimodal reasoning and understanding. The task focuses on detecting hate speech in multimodal memes.
Please see the paper for further details:
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
D. Kiela, H. Firooz, A. Mohan, V. Goswami, A. Singh, P. Ringshia, D. Testuggine
Dataset details
The files… See the full description on the dataset page: https://huggingface.co/datasets/Zhihao-Yang/hateful-memes.memerag
MEMERAG Faithfulness LLM-Judge Labels
This dataset extends MEMERAG (Cruz Blandón et al., 2025, ACL 2025,
arXiv:2502.17163) with LLM-judge faithfulness predictions from an OpenAI model,
reusing MEMERAG's own data and judge prompt templates.
Files
File
Description
memerag_llm_judge_<prompt_variant>_<model>.jsonl
LLM-judge predictions (produced by scripts/annotate_memerag.py)
scripts/
Reproduction scripts (see below)
Dataset statistics… See the full description on the dataset page: https://huggingface.co/datasets/imerad-kv/memerag.hateful-memes
The Hateful Memes Challenge README
The Hateful Memes Challenge is a dataset and benchmark created by Facebook AI to drive and measure progress on multimodal reasoning and understanding. The task focuses on detecting hate speech in multimodal memes.
Please see the paper for further details:
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
D. Kiela, H. Firooz, A. Mohan, V. Goswami, A. Singh, P. Ringshia, D. Testuggine
Dataset details
The files… See the full description on the dataset page: https://huggingface.co/datasets/j8in/hateful-memes.hateful-memes
The Hateful Memes Challenge README
The Hateful Memes Challenge is a dataset and benchmark created by Facebook AI to drive and measure progress on multimodal reasoning and understanding. The task focuses on detecting hate speech in multimodal memes.
Please see the paper for further details:
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
D. Kiela, H. Firooz, A. Mohan, V. Goswami, A. Singh, P. Ringshia, D. Testuggine
Dataset details
The files… See the full description on the dataset page: https://huggingface.co/datasets/rayyanm86/hateful-memes.hateful-memes
The Hateful Memes Challenge README
The Hateful Memes Challenge is a dataset and benchmark created by Facebook AI to drive and measure progress on multimodal reasoning and understanding. The task focuses on detecting hate speech in multimodal memes.
Please see the paper for further details:
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
D. Kiela, H. Firooz, A. Mohan, V. Goswami, A. Singh, P. Ringshia, D. Testuggine
Dataset details
The files for… See the full description on the dataset page: https://huggingface.co/datasets/zhending/hateful-memes.hateful-memes
The Hateful Memes Challenge README
The Hateful Memes Challenge is a dataset and benchmark created by Facebook AI to drive and measure progress on multimodal reasoning and understanding. The task focuses on detecting hate speech in multimodal memes.
Please see the paper for further details:
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
D. Kiela, H. Firooz, A. Mohan, V. Goswami, A. Singh, P. Ringshia, D. Testuggine
Dataset details
The files for… See the full description on the dataset page: https://huggingface.co/datasets/ray7778/hateful-memes.