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  # BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning
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  ## Overview
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- The Bayelemabaga dataset is a collection of 44562 aligned machine translation ready Bambara-French lines, originating from [Corpus Bambara de Reference](http://cormande.huma-num.fr/corbama/run.cgi/first_form). The dataset is constitued of text extracted from **231** text files, varing from periodicals, books, short stories, blog posts, part of the Bible and the Quran.
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  ## Snapshot: 46976
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  | | |
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  |:---|---:|
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  | **Lines** | **46976** |
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- | French Tokens | --- |
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- | Bambara Tokens | --- |
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- | French Types | --- |
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- | Bambara Types | --- |
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- | Avg. Fr line length | -- |
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- | Avg. Bam line length | -- |
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  | Number of text sources | 264 |
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  ## Data Splits
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  - `Coming soon`
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  ### To note:
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- - ʃ => (sh) sound: Symbol left in the dataset, although not a part of bambara orthography nor French orthography.
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  ## License
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  title={Machine Learning Dataset Development for Manding Languages},
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  author={
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  Valentin Vydrin and
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- Christopher Homan and
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- Michael Leventhal and
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- Allashera Auguste Tapo and
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- Marco Zampieri and
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  Jean-Jacques Meric and
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  Kirill Maslinsky and
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  Andrij Rovenchak and
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- Sebastien Diarra
 
 
 
 
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  },
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  howpublished = {url{https://github.com/robotsmali-ai/datasets}},
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  year={2022}
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  ## Contacts
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  - `sdiarra <at> robotsmali.org`
 
 
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  # BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning
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  ## Overview
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+ The Bayelemabaga dataset is a collection of 44562 aligned machine translation ready Bambara-French lines, originating from [Corpus Bambara de Reference](http://cormande.huma-num.fr/corbama/run.cgi/first_form). The dataset is constitued of text extracted from **264** text files, varing from periodicals, books, short stories, blog posts, part of the Bible and the Quran.
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  ## Snapshot: 46976
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  | | |
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  |:---|---:|
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  | **Lines** | **46976** |
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+ | French Tokens (spacy) | 691312 |
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+ | Bambara Tokens (daba) | 660732 |
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+ | French Types | 32018 |
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+ | Bambara Types | 29382 |
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+ | Avg. Fr line length | 77.6 |
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+ | Avg. Bam line length | 61.69 |
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  | Number of text sources | 264 |
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  ## Data Splits
 
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  - `Coming soon`
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+ ### Sources
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+
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+ - [`sources`](./bayelemabaga/sources.txt)
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+
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  ### To note:
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+ - ʃ => (sh/shy) sound: Symbol left in the dataset, although not a part of bambara orthography nor French orthography.
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  ## License
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  title={Machine Learning Dataset Development for Manding Languages},
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  author={
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  Valentin Vydrin and
 
 
 
 
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  Jean-Jacques Meric and
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  Kirill Maslinsky and
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  Andrij Rovenchak and
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+ Allashera Auguste Tapo and
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+ Sebastien Diarra and
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+ Christopher Homan and
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+ Marco Zampieri and
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+ Michael Leventhal
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  },
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  howpublished = {url{https://github.com/robotsmali-ai/datasets}},
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  year={2022}
 
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  ## Contacts
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  - `sdiarra <at> robotsmali.org`
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+ - `aat3261 <at> rit.edu`