KInIT
Kempelen Institute of Intelligent Technologies
Research institute focused on research and development in artificial intelligence. Main coordinator of the SLAIH project. Actively develops Slovak language models, datasets, and benchmarks.
Teams
- Type
- Research institute
- Based in
- Bratislava, Slovensko
- SLAIH membership
- Founding member
About KInIT
Resources in the catalog18
- Parakeet TDT 0.6b v3 SK
Model, speech and audio, CC BY 4.0
Slovak fine-tune of Parakeet TDT 0.6b v3 from Nvidia.
Transcribe speechNLP KInIT, KInIT
- Canary 1B v2 SK
Model, speech and audio, CC BY 4.0
Slovak fine-tune of Canary 1B v2 from Nvidia.
Transcribe speechNLP KInIT, KInIT
- Whisper-tiny-sk
Model, speech and audio, Apache 2.0
Slovak fine-tune of Whisper-tiny.
Transcribe speechNLP KInIT, KInIT
- Whisper-base-sk
Model, speech and audio, Apache 2.0
Slovak fine-tune of Whisper-base.
Transcribe speechNLP KInIT, KInIT
- Whisper-small-sk
Model, speech and audio, Apache 2.0
Slovak fine-tune of Whisper-small.
Transcribe speechNLP KInIT, KInIT
- Whisper-medium-sk
Model, speech and audio, Apache 2.0
Slovak fine-tune of Whisper-medium.
Transcribe speechNLP KInIT, KInIT
- ANLI SK
Dataset, text, CC BY-NC-SA 4.0
Translated version of the Czech ANLI dataset.
Understand textNLP KInIT, DFKI
- MultiSocial
Dataset, text
we propose the first multilingual (22 languages) and multi-platform (5 social media platforms) dataset for benchmarking machine-generated text detection in the social-media domain, called…
Check text and modelsWUDAP KInIT
- GEST
Dataset, text, Apache 2.0
GEST – a manually created dataset designed to measure gender-stereotypical reasoning in language models and machine translation systems.
Check text and modelsNLP KInIT, WUDAP KInIT, Ethics KInIT
- Whisper-large-v3-sk
Model, speech and audio, Apache 2.0
Slovak fine-tune of Whisper-large-v3.
Transcribe speechNLP KInIT, KInIT
Connections
Benchmarks2
Partner organizations2
Articles4
- NLP Summer School 2026: Three Days Exploring Language, AI and the Future of Intelligent Systems
, mentions skLEP and SkMTEB
- How (not) to read benchmarks and leaderboards
, mentions SkMTEB and skLEP
- What's New in the SLAIH Asset Catalog? Five Resources Worth Exploring
, mentions SkMTEB and GEST
- SkMTEB: The First Benchmark for Slovak Embeddings
, mentions SkMTEB
Connections are based only on catalog data: who created a resource, which datasets a benchmark uses, which models it evaluates, and what articles link to.