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Datasets:
ivrit-ai
/
audio-transcripts

Tasks:
Audio Classification
Voice Activity Detection
Modalities:
Text
Formats:
parquet
Languages:
Hebrew
Size:
1M - 10M
ArXiv:
Libraries:
Datasets
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License:
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audio-transcripts / README.md
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metadata
language:
  - he
license: other
size_categories:
  - 1M<n<10M
task_categories:
  - audio-classification
  - voice-activity-detection
extra_gated_prompt: >-
  You agree to the following license terms:

  This material and data is licensed under the terms of the Creative Commons
  Attribution 4.0 International License (CC BY 4.0), The full text of the CC-BY
  4.0 license is available at https://creativecommons.org/licenses/by/4.0/.


  Notwithstanding the foregoing, this material and data may only be used,
  modified and distributed for the express purpose of training AI models, and
  subject to the foregoing restriction. In addition, this material and data may
  not be used in order to create audiovisual material that simulates the voice
  or likeness of the specific individuals appearing or speaking in such
  materials and data (a “deep-fake”). To the extent this paragraph is
  inconsistent with the CC-BY-4.0 license, the terms of this paragraph shall
  govern.


  By downloading or using any of this material or data, you agree that the
  Project makes no representations or warranties in respect of the data, and
  shall have no liability in respect thereof. These disclaimers and limitations
  are in addition to any disclaimers and limitations set forth in the CC-BY-4.0
  license itself. You understand that the project is only able to make available
  the materials and data pursuant to these disclaimers and limitations, and
  without such disclaimers and limitations the project would not be able to make
  available the materials and data for your use.
extra_gated_fields:
  I have read the license, and agree to its terms: checkbox
dataset_info:
  features:
    - name: source
      dtype: string
    - name: episode
      dtype: string
    - name: uuid
      dtype: string
    - name: text
      dtype: string
    - name: attrs
      struct:
        - name: segments
          list:
            - name: avg_logprob
              dtype: float64
            - name: compression_ratio
              dtype: float64
            - name: end
              dtype: float64
            - name: id
              dtype: int64
            - name: no_speech_prob
              dtype: float64
            - name: seek
              dtype: int64
            - name: start
              dtype: float64
            - name: text
              dtype: string
  splits:
    - name: train
      num_bytes: 1290457176
      num_examples: 2183042
  download_size: 421521923
  dataset_size: 1290457176
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

ivrit.ai is a database of Hebrew audio and text content.

audio-base contains the raw, unprocessed sources.

audio-vad contains audio snippets generated by applying Silero VAD (https://github.com/snakers4/silero-vad) to the base dataset.

audio-transcripts contains transcriptions for each snippet in the audio-vad dataset.

The audio-base dataset contains data from the following sources:

Paper: https://arxiv.org/abs/2307.08720

If you use our datasets, the following quote is preferable:

@misc{marmor2023ivritai,
      title={ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development}, 
      author={Yanir Marmor and Kinneret Misgav and Yair Lifshitz},
      year={2023},
      eprint={2307.08720},
      archivePrefix={arXiv},
      primaryClass={eess.AS}
}