Datasetpublic

Peacockery/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.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face

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Dataset Card

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). language_distribution_0.tsv lists hours per corpus; export_summary.json records the export recipe.

Processing

Audio resampled to 16 kHz mono. Text normalized for CTC training: Mtavruli folded to Mkhedruli, numbers expanded to Georgian words, punctuation stripped. Every label passes a character-tokenizer coverage check (zero unknown tokens). Source transcripts are the originals from FLEURS and Common Voice contributors.

Sources

FLEURS: CC-BY-4.0, google/fleurs. Common Voice: CC0, Mozilla Data Collective.