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README.md DELETED
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- ---
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- license: cc-by-4.0
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- size_categories:
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- - 1M<n<10M
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- configs:
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- - config_name: pre
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- data_files:
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- - pre/*/*.arrow
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- - config_name: raw
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- data_files:
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- - raw/*/*.arrow
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- - config_name: GK
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- data_files:
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- - pre/geekonomy/*.arrow
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- - raw/geekonomy/*.arrow
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- - config_name: GK_pre
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- data_files: pre/geekonomy/*.arrow
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- - config_name: GK_raw
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- data_files: raw/geekonomy/*.arrow
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- - config_name: OH
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- data_files:
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- - pre/osim-history/*.arrow
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- - raw/osim-history/*.arrow
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- - config_name: OH_pre
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- data_files: pre/osim-history/*.arrow
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- - config_name: OH_raw
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- data_files: raw/osim-history/*.arrow
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- - config_name: DK
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- data_files:
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- - pre/dor/*.arrow
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- - raw/dor/*.arrow
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- - config_name: DK_pre
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- data_files: pre/dor/*.arrow
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- - config_name: DK_raw
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- data_files: raw/dor/*.arrow
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- - config_name: YO
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- data_files:
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- - pre/Yo_the_podcast/*.arrow
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- - raw/Yo_the_podcast/*.arrow
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- - config_name: YO_pre
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- data_files: pre/Yo_the_podcast/*.arrow
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- - config_name: YO_raw
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- data_files: raw/Yo_the_podcast/*.arrow
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- - config_name: YV
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- data_files:
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- - pre/Yad_vashem/*.arrow
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- - raw/Yad_vashem/*.arrow
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- - config_name: YV_pre
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- data_files: pre/Yad_vashem/*.arrow
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- - config_name: YV_raw
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- data_files: raw/Yad_vashem/*.arrow
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-
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- ---
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-
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- # HebDB
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-
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- **Paper:** https://arxiv.org/abs/???
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-
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- If you use our datasets, please use the following:
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-
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-
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- ```
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- @cite{
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- Soon
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- }
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-
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- ```
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-
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-
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-
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- ### Dataset Summary
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-
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- A weakly supervised dataset for spoken language processing in the Hebrew language. HEBDB offers roughly 2500 hours of natural and spontaneous speech recordings in the Hebrew language, consisting of a large variety of speakers and topics. We provide raw recordings together with a pre-processed, weakly supervised, and filtered version. The goal of HEBDB is to further enhance research and development of spoken language processing tools for the Hebrew language.
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-
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- Data variants are: `pre`, `raw`. Note variants share the same columns to ease the usage of dataset subsets but `raw` only use the columns: `fname`, `audio` and `is_raw`.
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-
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- #### How do I download this?
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-
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- ##### Using 🤗 Datasets
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-
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- ```python
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- from datasets import load_dataset
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-
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- # pre only
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- hebdb_pre = load_dataset("SLPRL-HUJI/HebDB", "pre")
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-
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- # raw only
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- hebdb_raw = load_dataset("SLPRL-HUJI/HebDB", "raw")
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-
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- # One specific source(see code list below), both raw and pre
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- geekonomy = load_dataset("SLPRL-HUJI/HebDB", "GK")
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-
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- # One specific source, both raw and pre
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- geekonomy_pre = load_dataset("SLPRL-HUJI/HebDB", "GK_pre")
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- ```
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-
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- To avoid downloading the entire dataset you can load it in streaming mode using `streaming=True`, for example:
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-
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- ```python
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- hebdb_pre = load_dataset("SLPRL-HUJI/HebDB", "pre", streaming=True)
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- ```
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-
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- You can also load and mix:
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-
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- ```python
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- from datasets import concatenate_datasets, load_dataset
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-
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- geekonomy = load_dataset("SLPRL-HUJI/HebDB", "GK_pre")
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- osim_history = load_dataset("SLPRL-HUJI/HebDB", "OH_pre")
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-
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- # Concatenate both datasets
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- concatenated = concatenate_datasets([geekonomy, osim_history])
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-
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- ```
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-
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- ### Sources
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-
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- The 6 available sources are reported in the table below.
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-
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- | code | name |
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- |:------|:--------------------------|
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- | GK | Geekonomy |
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- | OH | Osim History |
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- | DK | The Dor Kahn Experience |
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- | YO | Yo! The podcast |
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- | GQ | Good Question |
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- | YV | Yad vashem |
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-
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-
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-
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- ### Data Fields
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-
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- The data have several fields:
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- - `fname`: file name
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- - `audio`:
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- - `array`: array of audio samples
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- - `sample_rate`: audio sampling rate
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- - `path`: path to the audio file saved location
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- - `is_raw`: Flag for raw/preprocessed
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- - `raw`:
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- - `fname`: origin raw file name
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- - `start_sec`: start time mark in seconds
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- - `end_sec`: end time mark in seconds
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- - `source`: Source name
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- - `n_samples`: Number of samples
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- - `text`: Transcription
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- - `normalized_text`: Normalized transcription (details in paper)
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- - `score`: Transcription quality score obtained by forced aligner (details in paper)
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-
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-
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-
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- ### Licensing Information
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-
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- Data is licensed under the terms of the Creative Commons Attribution 4.0
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- International License (CC BY 4.0), The full text of the CC-BY 4.0 license is available at
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- https://creativecommons.org/licenses/by/4.0/.
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-
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- ### Acknowledgements
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-
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- This research work was supported by the Israel Innovation Authority, grant number 78563.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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