datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Corianas__llama-3-reactor-details
Dataset Card for Evaluation run of Corianas/llama-3-reactor
Dataset automatically created during the evaluation run of model Corianas/llama-3-reactor
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Corianas__llama-3-reactor-details.reaction_data
🧠 Overview
Reaction Data v1.0 is a curated multimodal dataset built from YouTube human reaction videos, designed for studying singing voice synthesis (SVS) evaluation, audio–text alignment, and natural-language reaction modeling.Each included creator (e.g., Alex Hefner, Beth Roars, The Charismatic Voice) provides a distinct commentary style and persona, offering diverse reactions across genres and vocal styles.
Each reviewer’s folder contains processed data, transcripts, and raw… See the full description on the dataset page: https://huggingface.co/datasets/KimZoey/reaction_data.filtered_reaction_bilibiliexpress4d-reaction-nofilter-v1-partial-3632seq-2026-04-15
Express4D Reaction No-Filter Partial Snapshot
This is a partial snapshot exported from a reaction-video pipeline into an Express4D-like format.
Current snapshot status:
sequence csv count: 3632
text count: 3628
payload count: 3628
anchor image count: 7228
relative to Express4D sequence count (1205): about 3.01x
status: partial snapshot
Files:
Express4D_reaction_nofilter_v1_partial_3632seq_2026-04-15.tar.gz
SNAPSHOT_STATUS.json
This repo was uploaded automatically from a local… See the full description on the dataset page: https://huggingface.co/datasets/JintaoDong256/express4d-reaction-nofilter-v1-partial-3632seq-2026-04-15.