Datasets:
Download README.md from nvidia/Granary-HiFi: direct link, hf CLI and curl.
- Browser
- Download file 34.8 kB
-
https://huggingface.co/datasets/nvidia/Granary-HiFi/resolve/main/README.md
- Command line
-
hf download hf://datasets/nvidia/Granary-HiFi/README.md
-
curl -L -o README.md https://huggingface.co/datasets/nvidia/Granary-HiFi/resolve/main/README.md
dataset_info:
- config_name: Bulgarian
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
- name: lang
dtype: string
- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
dtype: string
- name: early_cut_off
dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
dtype: float32
- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Czech
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
- name: lang
dtype: string
- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
dtype: string
- name: early_cut_off
dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
dtype: float32
- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Danish
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
- name: lang
dtype: string
- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
dtype: string
- name: early_cut_off
dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
dtype: float32
- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: German
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
- name: lang
dtype: string
- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
dtype: string
- name: early_cut_off
dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
dtype: float32
- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Greek
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
- name: lang
dtype: string
- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
dtype: string
- name: early_cut_off
dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
dtype: float32
- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: English
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
- name: lang
dtype: string
- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
dtype: string
- name: early_cut_off
dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
dtype: float32
- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Spanish
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
- name: lang
dtype: string
- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
dtype: string
- name: early_cut_off
dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
dtype: float32
- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Estonian
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
- name: lang
dtype: string
- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
dtype: string
- name: early_cut_off
dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
dtype: float32
- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Finnish
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
- name: lang
dtype: string
- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
dtype: string
- name: early_cut_off
dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
dtype: float32
- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: French
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
- name: lang
dtype: string
- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
dtype: string
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dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
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- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Croatian
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
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dtype: string
- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
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- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
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dtype: float32
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dtype: float32
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dtype: string
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dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
dtype: float32
- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Hungarian
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
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dtype: string
- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
dtype: string
- name: early_cut_off
dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
dtype: float32
- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Italian
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
- name: lang
dtype: string
- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
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- name: context_utt_id
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- name: context_audio_speaker_similarity
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- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Lithuanian
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
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- name: text
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- name: speech_event_coverage_ratio
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- name: speech_event_evidence
dtype: float32
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- name: mos
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- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Latvian
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
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- name: num_speakers
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- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Dutch
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
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- name: text
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- name: num_speakers
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dtype: string
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- name: speech_event_coverage_ratio
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- name: context_audio_text_overlap
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- name: original_audio_id
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- name: original_audio_offset
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- name: HiFi
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splits:
- name: VoxPopuli
- config_name: Polish
features:
- name: utt_id
dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
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- name: text
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- name: num_speakers
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dtype: string
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- name: speech_event_coverage_ratio
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- name: original_audio_id
dtype: string
- name: original_audio_offset
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- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Portuguese
features:
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dtype: string
- name: duration
dtype: float64
- name: sampling_rate
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- name: bandwidth
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- name: mos
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- name: context_audio_text_overlap
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- name: original_audio_id
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- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Romanian
features:
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dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
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- name: speech_event_coverage_ratio
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- name: original_audio_id
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- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Slovak
features:
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dtype: string
- name: duration
dtype: float64
- name: sampling_rate
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- name: bandwidth
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- name: diarization_coverage_ratio
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- name: speech_event_coverage_ratio
dtype: float32
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- name: mos
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- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Slovenian
features:
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dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
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- name: text
dtype: string
- name: num_speakers
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- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
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- name: mos
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- name: ipa
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- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: Swedish
features:
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dtype: string
- name: duration
dtype: float64
- name: sampling_rate
dtype: int32
- name: bandwidth
dtype: int32
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- name: text
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- name: num_speakers
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- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
dtype: string
- name: early_cut_off
dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
dtype: float32
- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
- config_name: All
features:
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dtype: string
- name: duration
dtype: float64
- name: sampling_rate
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- name: bandwidth
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- name: text
dtype: string
- name: num_speakers
dtype: int16
- name: single_speaker_id
dtype: string
- name: diarization_coverage_ratio
dtype: float32
- name: speech_event_coverage_ratio
dtype: float32
- name: speech_event_evidence
dtype: float32
- name: clean_speech_event_score
dtype: float32
- name: mos
dtype: float32
- name: ipa
dtype: string
- name: early_cut_off
dtype: bool
- name: context_utt_id
dtype: string
- name: context_audio_speaker_similarity
dtype: float32
- name: context_audio_text_overlap
dtype: float32
- name: original_audio_id
dtype: string
- name: original_audio_offset
dtype: float64
- name: HiFi
dtype: bool
splits:
- name: VoxPopuli
configs:
- config_name: Bulgarian
data_files:
- split: VoxPopuli
path: data/bg/VoxPopuli/*.parquet
- config_name: Czech
data_files:
- split: VoxPopuli
path: data/cs/VoxPopuli/*.parquet
- config_name: Danish
data_files:
- split: VoxPopuli
path: data/da/VoxPopuli/*.parquet
- config_name: German
data_files:
- split: VoxPopuli
path: data/de/VoxPopuli/*.parquet
- config_name: Greek
data_files:
- split: VoxPopuli
path: data/el/VoxPopuli/*.parquet
- config_name: English
data_files:
- split: VoxPopuli
path: data/en/VoxPopuli/*.parquet
- config_name: Spanish
data_files:
- split: VoxPopuli
path: data/es/VoxPopuli/*.parquet
- config_name: Estonian
data_files:
- split: VoxPopuli
path: data/et/VoxPopuli/*.parquet
- config_name: Finnish
data_files:
- split: VoxPopuli
path: data/fi/VoxPopuli/*.parquet
- config_name: French
data_files:
- split: VoxPopuli
path: data/fr/VoxPopuli/*.parquet
- config_name: Croatian
data_files:
- split: VoxPopuli
path: data/hr/VoxPopuli/*.parquet
- config_name: Hungarian
data_files:
- split: VoxPopuli
path: data/hu/VoxPopuli/*.parquet
- config_name: Italian
data_files:
- split: VoxPopuli
path: data/it/VoxPopuli/*.parquet
- config_name: Lithuanian
data_files:
- split: VoxPopuli
path: data/lt/VoxPopuli/*.parquet
- config_name: Latvian
data_files:
- split: VoxPopuli
path: data/lv/VoxPopuli/*.parquet
- config_name: Dutch
data_files:
- split: VoxPopuli
path: data/nl/VoxPopuli/*.parquet
- config_name: Polish
data_files:
- split: VoxPopuli
path: data/pl/VoxPopuli/*.parquet
- config_name: Portuguese
data_files:
- split: VoxPopuli
path: data/pt/VoxPopuli/*.parquet
- config_name: Romanian
data_files:
- split: VoxPopuli
path: data/ro/VoxPopuli/*.parquet
- config_name: Slovak
data_files:
- split: VoxPopuli
path: data/sk/VoxPopuli/*.parquet
- config_name: Slovenian
data_files:
- split: VoxPopuli
path: data/sl/VoxPopuli/*.parquet
- config_name: Swedish
data_files:
- split: VoxPopuli
path: data/sv/VoxPopuli/*.parquet
- config_name: All
default: true
data_files:
- split: VoxPopuli
path: data/*/VoxPopuli/*.parquet
license: openmdw-1.1
task_categories:
- automatic-speech-recognition
language:
- bg
- cs
- da
- de
- el
- en
- es
- et
- fi
- fr
- hr
- hu
- it
- lt
- lv
- nl
- pl
- pt
- ro
- sk
- sl
- sv
pretty_name: Granary-HiFi
tags:
- granary
- multilingual
- speech
- metadata
Dataset Card for Granary-HiFi
Dataset Description
Granary-HiFi is a corpus of multilingual speech data to which complementary filtering approaches have been applied to identify high-fidelity samples. This release presents Granary-v2 enriched metadata for the VoxPopuli subset; audio bytes are not distributed in this repository.
The processing pipeline includes:
- Sound event detection to identify speech coverage and filter samples contaminated by non-speech sounds.
- Speaker labelling to identify single-speaker segments within each source recording and assign consistent speaker labels.
- UTMOS estimation to measure predicted perceptual speech quality and reject low-quality audio.
- CTC/MFA alignment cascade to detect early cut-offs where the speech audio ends before the transcript.
- Context retrieval to select a nearby, speaker-consistent reference segment with limited text overlap, providing useful acoustic and speaker context without duplicating the target content.
Overview
- Languages: 22
- Annotated VoxPopuli: 354,389.9 hours across 46,055,576 samples
- Granary-HiFi: 111,170.3 hours across 14,994,925 samples (31.4% retained)
- Speaker labels: 1,356,748 overall; 1,009,514 in Granary-HiFi
The main revision contains all annotated VoxPopuli samples and the HiFi membership flag. The HiFi revision contains only samples with HiFi=true; it omits the num_speakers and HiFi columns.
Data Distribution
The chart below shows Granary-HiFi and filtered-out VoxPopuli hours by language on a logarithmic scale. Retention rate is HiFi hours divided by all annotated hours.
Filtered dataset statistics
| Language | VoxPopuli | |||
|---|---|---|---|---|
| Samples | Speakers | Hours | Retention rate | |
| Bulgarian | 668011 | 34637 | 4960.3 | 30.4% |
| Croatian | 389344 | 19508 | 2984.6 | 38.5% |
| Czech | 561828 | 40052 | 4131.0 | 24.0% |
| Danish | 406567 | 33860 | 2854.9 | 21.6% |
| Dutch | 891239 | 47601 | 6465.8 | 34.9% |
| English | 1361352 | 149036 | 10544.4 | 45.7% |
| Estonian | 236378 | 24216 | 1664.0 | 17.1% |
| Finnish | 337660 | 31549 | 2435.6 | 17.8% |
| French | 1213618 | 75382 | 9077.6 | 40.4% |
| German | 1009003 | 77392 | 7540.5 | 33.0% |
| Greek | 608222 | 38569 | 4428.7 | 28.1% |
| Hungarian | 812785 | 40954 | 6101.9 | 37.1% |
| Italian | 1529218 | 58592 | 11862.0 | 55.1% |
| Latvian | 361104 | 29943 | 2563.4 | 20.9% |
| Lithuanian | 464933 | 32486 | 3307.6 | 24.9% |
| Polish | 613470 | 46726 | 4500.6 | 24.1% |
| Portuguese | 867272 | 43158 | 6307.6 | 36.9% |
| Romanian | 515009 | 39761 | 3762.8 | 22.0% |
| Slovak | 275033 | 27330 | 1999.5 | 17.7% |
| Slovenian | 354422 | 24753 | 2541.1 | 26.1% |
| Spanish | 969596 | 56000 | 7132.3 | 34.0% |
| Swedish | 548861 | 38009 | 4004.1 | 25.9% |
| Total | 14994925 | 1009514 | 111170.3 | 31.4% |
How to use
Standard Loading
Load one language from the full annotated VoxPopuli dataset:
from datasets import load_dataset
ds = load_dataset(
"nvidia/Granary-HiFi",
"English",
split="VoxPopuli",
)
Load its high-fidelity subset from the HiFi revision:
ds = load_dataset(
"nvidia/Granary-HiFi",
"English",
split="VoxPopuli",
revision="HiFi",
)
Streaming
To stream all 22 languages:
ds = load_dataset(
"nvidia/Granary-HiFi",
"All",
split="VoxPopuli",
revision="HiFi",
streaming=True,
)
Dataset Structure
π Data Sample Structure
{
# Core utterance metadata
"utt_id": str, # Unique utterance identifier
"duration": float, # Duration in seconds
"sampling_rate": int | None, # Sampling rate in Hz
"bandwidth": int, # Estimated audio bandwidth in Hz
"lang": str, # ISO 639-1 language code
"text": str, # Normalized transcript
# Speaker identity and diarization
"num_speakers": int, # Estimated number of speakers
"single_speaker_id": str | None, # Speaker ID when exactly one speaker is present
"diarization_coverage_ratio": float, # Fraction covered by diarized speech
# Speech-event detection
"speech_event_coverage_ratio": float, # Fraction covered by speech events
"speech_event_evidence": float, # Speech-event evidence from the SED model
"clean_speech_event_score": float, # Classifier score for clean speech
# Perceptual speech quality
"mos": float, # Predicted mean opinion score
# Transcript and boundary quality
"ipa": str, # Transcript in the International Phonetic Alphabet
"early_cut_off": bool, # Whether the utterance ends prematurely
# Context selection
"context_utt_id": str | None, # Selected context utterance; null when HiFi=false
"context_audio_speaker_similarity": float | None,# Target/context speaker similarity; null when HiFi=false
"context_audio_text_overlap": float | None, # Target/context text overlap; null when HiFi=false
# Source provenance
"original_audio_id": str, # Identifier of the original source audio
"original_audio_offset": float | None, # Start offset in the original audio, in seconds
# Granary-HiFi membership
"HiFi": bool, # Membership in the filtered Granary-HiFi subset
}
The HiFi revision contains the same fields except num_speakers and HiFi.
Data Splits and Files
Each language configuration exposes one VoxPopuli split. The All configuration exposes the same split across all 22 languages. The file hierarchy preserves the source-dataset name for convenient provenance tracking.
data/
βββ en/
βββ VoxPopuli/
βββ en_2009.parquet
βββ en_2010.parquet
βββ ...
Reference
- Code: NVIDIA-NeMo / Curator (Granary-HiFi)
- Source corpora: VoxPopuli, nvidia/Granary, nvidia/Granary-v2
@misc{koluguri2025granaryspeechrecognitiontranslation,
title={Granary: Speech Recognition and Translation Dataset in 25 European Languages},
author={Nithin Rao Koluguri and Monica Sekoyan and George Zelenfroynd and Sasha Meister and Shuoyang Ding and Sofia Kostandian and He Huang and Nikolay Karpov and Jagadeesh Balam and Vitaly Lavrukhin and Yifan Peng and Sara Papi and Marco Gaido and Alessio Brutti and Boris Ginsburg},
year={2025},
eprint={2505.13404},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2505.13404},
}
The Granary-HiFi paper is in preparation. The BibTeX entry above contains the Granary-v1 citation.
Ethical Considerations
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. Developers should work with their internal developer teams to ensure this dataset meets requirements for the relevant industry and use case and addresses unforeseen product misuse. Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.
