datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nepali-audio-reserve-r6
Nepali two-speaker conversation chunks
~6680.8 h of Nepali speech at 48 kHz. Two speakers per clip, ~5 minute diarized chunks.
A backup, not a release: the transcripts are machine-generated, and none of this
audio passed the quality gate that produced our training corpus.
Derived from third-party audio whose rights holders did not grant redistribution. The hour count is language-dominant, not monolingual: a chunk labelled Nepali can carry substantial English or Hindi. lang_sec… See the full description on the dataset page: https://huggingface.co/datasets/milanakdj/nepali-audio-reserve-r6.nepali-tts-synthetic-v2
Nepali TTS Synthetic v2
383,298 synthetic Nepali (ne) speech/text pairs, 24 kHz mono 16-bit WAV embedded
as-is (no re-encode, no resampling).
Generated by the synthetic_pipeline in milanakdj/TTS_training: Edge TTS
synthesis → optional voice conversion against a pool of 600 real multi-speaker
reference clips → ASR-based QC gate on character error rate.
Read this before training on it
Only 48% of rows are voice-converted. Each row carries a kept field
recording… See the full description on the dataset page: https://huggingface.co/datasets/milanakdj/nepali-tts-synthetic-v2.nepali-audio-reserve-r5
Nepali long-form single-speaker readings
~363.2 h of Nepali speech at 48 kHz. One speaker per clip, ~5 minute chunks.
A backup, not a release: the transcripts are machine-generated, and none of this
audio passed the quality gate that produced our training corpus.
Derived from third-party published readings whose rights holders did not grant redistribution. Access is gated and the source is not named.
Columns
column
contents
id
first 16 hex of… See the full description on the dataset page: https://huggingface.co/datasets/milanakdj/nepali-audio-reserve-r5.nepali-audio-reserve-r1
Nepali long-form speech, restored
~548.1 h of Nepali speech at 24 kHz. One speaker per clip, average 32 s, up to several minutes.
A backup, not a release: the transcripts are machine-generated, and none of this
audio passed the quality gate that produced our training corpus.
Derived from AI4Bharat IndicVoices-R (CC-BY-4.0) and restored with sidon-v0.1. Attribution is required by that licence, so it is given here. These are the long-form files our quality gate rejected; the 74 h… See the full description on the dataset page: https://huggingface.co/datasets/milanakdj/nepali-audio-reserve-r1.nepali-oov-distilled
Nepali OOV-distilled subset (854 h)
An OOV-dense distillation of Premal-12/c9nepali-audio-dataset2 (used with the
author's permission), shipped in four variants: the original single-voice audio,
a CPU-augmented copy, and 244 h re-rendered onto 1,842 real human speakers with
Seed-VC. For Nepali ASR and TTS work.
Filter with the variant field -- see Composition below. If you came here
for speaker diversity, you want variant == "vc".
What this is
The source corpus is… See the full description on the dataset page: https://huggingface.co/datasets/milanakdj/nepali-oov-distilled.nepali-audio-reserve-r2
Nepali synthetic educational dialogue
~137.0 h of Nepali speech at 24 kHz. Two speakers per clip, 2-5 minutes, teacher/student turns.
A backup, not a release: the transcripts are machine-generated, and none of this
audio passed the quality gate that produced our training corpus.
Synthetic. Generated by a TTS model reading NCERT-style educational dialogue, code-mixed Nepali/English. No human speaker is recorded here.
Columns
column
contents
id
first 16… See the full description on the dataset page: https://huggingface.co/datasets/milanakdj/nepali-audio-reserve-r2.nepali-audio-reserve-r4
Nepali short clips, ASR-agreed transcripts
~53.9 h of Nepali speech at 24 kHz. Single speaker, 3-20 s.
A backup, not a release: the transcripts are machine-generated, and none of this
audio passed the quality gate that produced our training corpus.
Transcripts kept only where three independent ASR systems agreed. Derived from third-party audio whose rights holders did not grant redistribution.
Columns
column
contents
id
first 16 hex of sha256(original… See the full description on the dataset page: https://huggingface.co/datasets/milanakdj/nepali-audio-reserve-r4.nepali-audio-reserve-r3
Nepali spontaneous short clips (SNR 40-50)
~16.2 h of Nepali speech at 24 kHz. Single speaker, 5-20 s, spontaneous.
A backup, not a release: the transcripts are machine-generated, and none of this
audio passed the quality gate that produced our training corpus.
Derived from third-party web audio whose rights holders did not grant redistribution, which is why access is gated and the source is not named.
Columns
column
contents
id
first 16 hex of… See the full description on the dataset page: https://huggingface.co/datasets/milanakdj/nepali-audio-reserve-r3.knihi-be-arlou_milasc_kniazia_hieranima_output_original
AudioSet Pipeline Output — арыгінальнае аўдыё
Мова / Language: Беларуская (Belarusian)
Арыгінальнае аўдыё без апрацоўкі, захаванае ў зыходнай якасці.
Частка калекцыі Ministerskija —
корпус беларускіх аўдыёкніг.
Апрацаваная версія (сегменты ~15 с, выраўнаваная транскрыпцыя):
knihi-be-arlou_milasc_kniazia_hieranima_output
Структура
Кожны радок змяшчае:
audio — арыгінальны аўдыёзапіс
text — транскрыпцыя
chunk_uid — унікальны ідэнтыфікатар
Ліцэнзія /… See the full description on the dataset page: https://huggingface.co/datasets/fosters/knihi-be-arlou_milasc_kniazia_hieranima_output_original.knihi-be-arlou_milasc_kniazia_hieranima_all
AudioSet Pipeline Output
Мова / Language: Беларуская (Belarusian)
Аўдыё нарэзана з арыгінальнага запісу ў зыходнай частаце дыскрэтызацыі (native), мона, фрагменты да 30 секунд.
Частка калекцыі Belarusian Audiobooks (native).
Радкоў у датасеце
425
Працягласць
1 гадз 21 хв
Частата дыскрэтызацыі
44100 Hz
Каналы
мона
Даўжыня фрагмента
да 30 с
Структура
Кожны радок змяшчае:
audio — аўдыёфрагмент (native SR, мона, ≤30 с)
text — транскрыпцыя… See the full description on the dataset page: https://huggingface.co/datasets/fosters/knihi-be-arlou_milasc_kniazia_hieranima_all.