datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
seamless-align-enA-viA.speaker-embedding.xlsr-2bseamless-align-enA-esA.speaker-embedding.w2vbert-600mseamless-align-enA-frA.speaker-embedding.hubert-xlseamless-align-enA-jaA.speaker-embedding.w2vbert-600mseamless-align-deA-enA.speaker-embedding.xlsr-2bseamless-align-enA-hiA.speaker-embedding.hubert-xlseamless-align-enA-frA.speaker-embedding.xlsr-2bseamless-align-enA-esA.speaker-embedding.xlsr-2bseamless-align-enA-zhA.speaker-embedding.w2vbert-600mseamless-align-enA-frA.speaker-embedding.w2vbert-600mseamless-align-enA-zhA.speaker-embedding.xlsr-2bseamless-align-enA-zhA.speaker-embedding.hubert-xlseamless-align-enA-koA.speaker-embedding.w2vbert-600mpaired-llama-3.2-1b-embeddings-lmsys-chat-1m
Paired Llama 3.2 1B Token Embeddings (LMSYS-Chat-1M)
This dataset contains paired activations corresponding to single token locations extracted from Meta's Llama 3.2 1B Instruct on conversations from LMSYS-Chat-1M.
Embeddings are provided for layers 5 through 14, which capture the most interesting intermediate representations.
This dataset was built to study things like:
Learning different basis for activations at a given layer
Studying if there are cases where position encodes… See the full description on the dataset page: https://huggingface.co/datasets/scaleinvariant/paired-llama-3.2-1b-embeddings-lmsys-chat-1m.seamless-align-enA-hiA.speaker-embedding.w2vbert-600mseamless-align-enA-viA.speaker-embedding.w2vbert-600mseamless-align-enA-jaA.speaker-embedding.hubert-xlseamless-align-enA-hiA.speaker-embedding.xlsr-2bseamless-align-enA-jaA.speaker-embedding.xlsr-2bAthar-Embeddingsseamless-align-enA-koA.speaker-embedding.hubert-xlseamless-align-deA-enA.speaker-embedding.w2vbert-600mseamless-align-enA-koA.speaker-embedding.xlsr-2bseamless-align-enA-esA.speaker-embedding.hubert-xlseamless-align-enA-viA.speaker-embedding.hubert-xlwikipedia-22-12-en-embeddings-all-MiniLM-L6-v2
Dataset Card for "wikipedia-22-12-en-embeddings-all-MiniLM-L6-v2"
More Information needed
relaion2b-natural-embeddings
LAION-Natural Embeddings: CLIP ViT-H/14 Features for ~500M Natural Photographs (CCN 2025, Roth & Hebart)
LAION-Natural Embeddings provides pre-computed CLIP ViT-H/14 embeddings for ~500 million natural photographs from ReLAION-2B, filtered using the LAION-Natural naturalness classifier (score > 0.7).
Also known as: LAION-Natural Embeddings · ReLAION-Natural Embeddings · LAION-2B-Natural Embeddings
Part of the LAION-Natural dataset family, introduced in: How to sample the… See the full description on the dataset page: https://huggingface.co/datasets/andropar/relaion2b-natural-embeddings.asr-ser-quechua-collao-embeddings
ASR-SER embeddings for Quechua Collao
This repository contains embeddings only. It does not contain raw audio.
These embeddings were extracted for ASR-to-SER transfer experiments on the Quechua Collao emotional speech corpus. The release is intended for reproducible feature-extraction experiments and downstream analysis.
Dataset contents
One PyTorch tensor per utterance stored as an embedding file under embeddings/
A sanitized metadata table describing utterance… See the full description on the dataset page: https://huggingface.co/datasets/QuechuaBase/asr-ser-quechua-collao-embeddings.search-v3-embeddings
Hub Card Search Embeddings (v3)
One-sentence summaries and 1024-d embeddings for 1,173,030 dataset and model cards on the
Hugging Face Hub — 536,870 datasets and 636,160 models. It is the search index behind the revived
librarian-bots/huggingface-semantic-search
backend: you search over a short model-written summary of each card rather than the raw card, and
retrieve against the embedding of that summary.
The cards come from librarian-bots/dataset_cards_with_metadata
and… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/search-v3-embeddings.seamless-align-enA-jaA.speaker-embedding.metavoice