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.final-certificatesuna-fraza-al-diya
Una fraza al diya
Ladino language learning sentences prepared by Karen Sarhon of Sephardic Center of Istanbul. Each sentence has translations in Turkish, English, Spanish. Includes audio and image. 307 sentences in total.
Source: https://sefarad.com.tr/judeo-espanyolladino/frazadeldia/
Citation
If you use this dataset, please cite:
Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish
Preparing an endangered language for the digital age: The… See the full description on the dataset page: https://huggingface.co/datasets/collectivat/una-fraza-al-diya.EdgeMMEval
EdgeMMEval
Minimal multimodal evaluation dataset for on-device inference testing.
Covers functional correctness, accuracy, latency stress, and memory
pressure across image, audio, text, multi-turn, combination, structured
output, and tool-calling cases.
Dataset summary
The test split is defined in data/test/metadata.jsonl (200 rows). Each
row has a test_id (for example IMG-001, STO-020) and a modality.
Modality
Samples
Focus
Image
34
VQA, OCR, description… See the full description on the dataset page: https://huggingface.co/datasets/CortexSwarm/EdgeMMEval.Vaani-Atypical-Speech-CorpusProject Euphonia is a public initiative led by Google that aims to improve Automatic Speech Recognition (ASR) for individuals with atypical speech. To date, most of Project Euphonia’s work has focused on English, resulting in outcomes such as the Android application Project Relate, which generates personalized speech recognition models in English.
In recent years, the project has expanded its data collection efforts to additional languages, including French, Spanish, Japanese, and Hindi.
The… See the full description on the dataset page: https://huggingface.co/datasets/ARTPARK-IISc/Vaani-Atypical-Speech-Corpus.