datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
chinese-lips-speech-slide-probe
Chinese-LiPS Speech + Slide Probe
A self-contained probe set for testing whether visual slide context helps
simultaneous speech translation — with the input as audio, not transcripts.
Why audio matters: feeding a transcript to a text LLM deletes the acoustic
ambiguity (homophones, polysemy) that slide context is meant to resolve; the
transcript already commits to one reading. Any honest test of "does vision help
streaming ST" must consume speech.
Contents… See the full description on the dataset page: https://huggingface.co/datasets/gavinlaw/chinese-lips-speech-slide-probe.chinese-lips-longform-debug
Chinese-LiPS Long-Form (zh long streaming speech)
Reconstructed continuous long-speech streams from
BAAI/Chinese-LiPS, for
slide-aware / streaming speech-translation development and evaluation. Each
source video (one speaker, one scripted lecture with slides) was released as
pre-segmented clips; here they are re-joined into the full talk.
Two variants of the same 3 talks (~97 min speech total):
config
how segments are placed
use
orig_timeline
at their original session… See the full description on the dataset page: https://huggingface.co/datasets/gavinlaw/chinese-lips-longform-debug.pinga-fogo-chico-xavier
🎙️ Pinga-Fogo com Chico Xavier — TV Tupi, 1971
As duas entrevistas históricas do médium Chico Xavier, transmitidas ao vivo pela
TV Tupi em 1971, transcritas e estruturadas em turnos de fala com timestamp.
345 turnos (115 deles respostas do próprio Chico Xavier), a partir de
6 horas de áudio — o registro mais extenso do médium falando de improviso,
sem edição, diante de um painel de jornalistas.
Arquivos
Arquivo
Programa
Turnos
Respostas do Chico… See the full description on the dataset page: https://huggingface.co/datasets/ia-espirita/pinga-fogo-chico-xavier.samromur_children_test
Dataset Card for samromur_children
Dataset Summary
The Samrómur Children Corpus consists of audio recordings and metadata files containing prompts read by the participants. It contains more than 137000 validated speech-recordings uttered by Icelandic children.
The corpus is a result of the crowd-sourcing effort run by the Language and Voice Lab (LVL) at the Reykjavik University, in cooperation with Almannarómur, Center for Language Technology. The recording process has… See the full description on the dataset page: https://huggingface.co/datasets/Ericwang/samromur_children_test.