datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
georgian-asr-corpus-v0
georgian-asr-corpus-v0
145.3 hours of Georgian ASR training data: 92,185 clips across FLEURS ka_ge and Common Voice Georgian (scripted 25.0 and spontaneous 3.0, via the Mozilla Data Collective). Splits: train 64,633 / dev 13,456 / test 14,096.
Layout
Hive-partitioned parquet under version=0/corpus=<source>/split=<split>/language=kat_Geor/. Each row holds text (the normalized label), audio_bytes (16 kHz mono FLAC as an int8 list), and audio_size (sample count).… See the full description on the dataset page: https://huggingface.co/datasets/Peacockery/georgian-asr-corpus-v0.Georgian-Speech-Dataset
Field
Value
📜 License
CC BY-NC-ND 4.0
🎯 Task Categories
Automatic Speech Recognition
🌍 Language
Georgian (ka)
🏷️ Tags
Audio, Speech, Speech Recognition, Georgian, ML, Machine, Machine Learning
📦 Size Category
n < 1K
ka-geo-voice-male-v1
Dataset Card for Georgian Male Voice Dataset v1
Intended Use
Primary Use: Training and fine-tuning TTS models for Georgian language synthesis, including microsoft/speecht5_tts.
Secondary Use: Research in speech synthesis, voice conversion, or linguistic analysis.
SpeechT5 Compatibility
This dataset is specifically formatted to be compatible with microsoft/speecht5_tts fine-tuning. The dataset includes:
Audio: 22,050 Hz mono WAV files (matching SpeechT5… See the full description on the dataset page: https://huggingface.co/datasets/akalandia/ka-geo-voice-male-v1.dataset-20250728_102101-sw
GeoPoll Swahili Speech Dataset
This dataset contains speech recognition data for Swahili (sw) collected and processed by GeoPoll.
Dataset Summary
This dataset is designed for fine-tuning speech recognition models on Swahili audio data. It includes high-quality audio segments with corresponding transcriptions.
Dataset Statistics
Total samples: 11814
Total duration: 20.45 hours
Average duration: 6.23 seconds per sample
Number of speakers: 6
Language: Swahili… See the full description on the dataset page: https://huggingface.co/datasets/GeoPoll/dataset-20250728_102101-sw.