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--- |
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language: |
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- he |
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license: other |
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size_categories: |
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- 1M<n<10M |
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task_categories: |
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- audio-classification |
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- voice-activity-detection |
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license_name: ivrit.ai |
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license_link: LICENSE |
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extra_gated_fields: |
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I have read the license, and agree to its terms: checkbox |
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dataset_info: |
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features: |
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- name: source |
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dtype: string |
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- name: episode |
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dtype: string |
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- name: uuid |
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dtype: string |
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- name: text |
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dtype: string |
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- name: attrs |
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struct: |
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- name: segments |
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list: |
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- name: avg_logprob |
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dtype: float64 |
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- name: compression_ratio |
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dtype: float64 |
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- name: end |
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dtype: float64 |
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- name: id |
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dtype: int64 |
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- name: no_speech_prob |
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dtype: float64 |
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- name: seek |
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dtype: int64 |
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- name: start |
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dtype: float64 |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 1290457176 |
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num_examples: 2183042 |
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download_size: 421521923 |
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dataset_size: 1290457176 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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ivrit.ai is a database of Hebrew audio and text content. |
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**audio-base** contains the raw, unprocessed sources. |
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**audio-vad** contains audio snippets generated by applying Silero VAD (https://github.com/snakers4/silero-vad) to the base dataset. |
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**audio-transcripts** contains transcriptions for each snippet in the audio-vad dataset. |
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The audio-base dataset contains data from the following sources: |
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* Geekonomy (Podcast, https://geekonomy.net) |
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* HaCongress (Podcast, https://hacongress.podbean.com/) |
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* Idan Eretz's YouTube channel (https://www.youtube.com/@IdanEretz) |
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* Moneytime (Podcast, https://money-time.co.il) |
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* Mor'e Nevohim (Podcast, https://open.spotify.com/show/1TZeexEk7n60LT1SlS2FE2?si=937266e631064a3c) |
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* Yozevitch's World (Podcast, https://www.yozevitch.com/yozevitch-podcast) |
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* NETfrix (Podcast, https://netfrix.podbean.com) |
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* On Meaning (Podcast, https://mashmaut.buzzsprout.com) |
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* Shnekel (Podcast, https://www.shnekel.live) |
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* Bite-sized History (Podcast, https://soundcloud.com/historia-il) |
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* Tziun 3 (Podcast, https://tziun3.co.il) |
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* Academia Israel (https://www.youtube.com/@academiaisrael6115) |
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* Shiluv Maagal (https://www.youtube.com/@ShiluvMaagal) |
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Paper: https://arxiv.org/abs/2307.08720 |
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If you use our datasets, the following quote is preferable: |
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``` |
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@misc{marmor2023ivritai, |
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title={ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development}, |
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author={Yanir Marmor and Kinneret Misgav and Yair Lifshitz}, |
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year={2023}, |
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eprint={2307.08720}, |
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archivePrefix={arXiv}, |
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primaryClass={eess.AS} |
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} |
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``` |
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# License |
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The dataset is released under the ivrit.ai License, which enables broad research and commercial use. |
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- Full license: https://www.ivrit.ai/en/the-license/ |
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- FAQs: https://www.ivrit.ai/en/license-faqs/ |
