datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
naturalnessneuromoyo-sahara-codeswitch-benchmark
NEUROMOYO — Sahara CodeSwitch Africa Benchmark
🔗 Live Benchmark Results
Interactive benchmark:
https://www.neuromoyo.app/benchmark
This page presents the benchmark results, methodology, model comparisons, robustness analyses, reproducibility information, and limitations for the NEUROMOYO evaluation on African code-switched speech.
🚀 Live NEUROMOYO Demo
Live application:
https://www.neuromoyo.app
The live NEUROMOYO application demonstrates the… See the full description on the dataset page: https://huggingface.co/datasets/prokelly/neuromoyo-sahara-codeswitch-benchmark.topic-classificationcodeswitch-pairs-lase
Codeswitch Pairs LASE — training corpus
1118 same-voice cross-script utterance pairs (8 ElevenLabs Multilingual voices × en/hi/te/ta) used to train the LASE r1 speaker encoder.
Each row is one synthesized utterance with metadata; pairs are reconstructed at evaluation time by joining on voice_id (same voice, different script = cross-script pair).
Schema (manifest.jsonl)
{
"voice_id": "21m00Tcm4TlvDq8ikWAM",
"lang": "en | hi | te | ta",
"text": "the prompt text"… See the full description on the dataset page: https://huggingface.co/datasets/Praxel/codeswitch-pairs-lase.