Datasets:

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Formats:
parquet
Languages:
Latin
Libraries:
Datasets
pandas
License:
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@@ -50,4 +50,29 @@ configs:
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  path: data/validation-*
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  - split: test
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  path: data/test-*
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  path: data/validation-*
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  - split: test
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  path: data/test-*
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+ license: cc
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+ language:
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+ - la
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  ---
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+
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+ # Aggregated Universal Dependencies for Latin
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+ Based on the Github r2.15 release of all Latin corpora, namely UDante, PROIEL, Perseus, LLCT, ITTB and CIRCSE. Parsed with [`conllu`](https://github.com/EmilStenstrom/conllu).
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+ To ensure compatibility with Hugging Face datasets and the underlying Arrow format, some quirks are present in the dataset:
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+ - the ID field (`token_ids`) is a string rather than an integer. This is needed because in rare cases the ID can be a token range like `1-2`.
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+ - because features can contain arbitrary content that is only semi-structured (not consistent across tokens), it is dumped as a JSON string for each token. So the `token_feats` field is a list of strings where each string should be JSON-decoded before use.
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+ - the same is true for `token_miscs`
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+ - and also for `sent_metadata` which contains the sentence metadata apart from the text and ID
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+ ## License
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+ Note that not all corpora have the same license. Only use those that you can comply with and filter as necessary on the `corpus` field:
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+ - "UDante": "cc-by-sa-4.0"
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+ - "Perseus": "cc-by-nc-sa-2.5"
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+ - "PROIEL": "cc-by-nc-sa-4.0"
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+ - "LLCT": "cc-by-sa-4.0"
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+ - "ITTB": "cc-by-nc-sa-3.0"
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+ - "CIRCSE": "cc-by-sa-4.0"