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--- |
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pretty_name: Lucie Training Dataset |
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license: cc-by-nc-sa-4.0 |
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language: |
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- en |
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- fr |
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- de |
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- es |
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- it |
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- code |
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multilinguality: |
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- multilingual |
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task_categories: |
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- text-generation |
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- text2text-generation |
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task_ids: |
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- language-modeling |
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tags: |
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- text-generation |
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- conditional-text-generation |
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size_categories: |
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- n>1T |
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viewer: true |
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configs: |
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- config_name: default |
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data_files: |
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- path: data/*/*/*/*parquet |
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split: train |
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- config_name: en |
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data_files: |
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- path: data/natural/en/*/*parquet |
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split: train |
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- config_name: fr |
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data_files: |
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- path: data/natural/fr/*/*parquet |
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split: train |
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- config_name: de |
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data_files: |
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- path: data/natural/de/*/*parquet |
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split: train |
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- config_name: es |
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data_files: |
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- path: data/natural/es/*/*parquet |
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split: train |
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- config_name: it |
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data_files: |
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- path: data/natural/it/*/*parquet |
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split: train |
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- config_name: de,fr |
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data_files: |
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- path: data/natural/de-fr/*/*.parquet |
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split: train |
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- config_name: es,en |
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data_files: |
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- path: data/natural/es-en/*/*.parquet |
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split: train |
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- config_name: fr,en |
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data_files: |
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- path: data/natural/fr-en/*/*.parquet |
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split: train |
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- config_name: it,en |
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data_files: |
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- path: data/natural/it-en/*/*.parquet |
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split: train |
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- config_name: natural |
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data_files: |
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- path: data/natural/*/*/*.parquet |
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split: train |
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- config_name: code |
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data_files: |
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- path: data/code/*/*/*parquet |
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split: train |
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- config_name: code-assembly |
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data_files: |
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- path: data/code/assembly/*/*.parquet |
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split: train |
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- config_name: code-c |
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data_files: |
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- path: data/code/c/*/*.parquet |
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split: train |
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- config_name: code-c# |
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data_files: |
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- path: data/code/c#/*/*.parquet |
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split: train |
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- config_name: code-c++ |
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data_files: |
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- path: data/code/c++/*/*.parquet |
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split: train |
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- config_name: code-clojure |
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data_files: |
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- path: data/code/clojure/*/*.parquet |
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split: train |
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- config_name: code-dart |
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data_files: |
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- path: data/code/dart/*/*.parquet |
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split: train |
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- config_name: code-elixir |
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data_files: |
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- path: data/code/elixir/*/*.parquet |
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split: train |
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- config_name: code-erlang |
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data_files: |
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- path: data/code/erlang/*/*.parquet |
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split: train |
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- config_name: code-fortran |
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data_files: |
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- path: data/code/fortran/*/*.parquet |
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split: train |
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- config_name: code-go |
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data_files: |
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- path: data/code/go/*/*.parquet |
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split: train |
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- config_name: code-haskell |
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data_files: |
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- path: data/code/haskell/*/*.parquet |
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split: train |
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- config_name: code-java |
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data_files: |
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- path: data/code/java/*/*.parquet |
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split: train |
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- config_name: code-javascript |
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data_files: |
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- path: data/code/javascript/*/*.parquet |
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split: train |
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- config_name: code-julia |
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data_files: |
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- path: data/code/julia/*/*.parquet |
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split: train |
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- config_name: code-kotlin |
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data_files: |
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- path: data/code/kotlin/*/*.parquet |
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split: train |
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- config_name: code-lua |
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data_files: |
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- path: data/code/lua/*/*.parquet |
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split: train |
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- config_name: code-mathematica |
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data_files: |
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- path: data/code/mathematica/*/*.parquet |
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split: train |
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- config_name: code-matlab |
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data_files: |
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- path: data/code/matlab/*/*.parquet |
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split: train |
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- config_name: code-ocaml |
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data_files: |
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- path: data/code/ocaml/*/*.parquet |
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split: train |
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- config_name: code-perl |
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data_files: |
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- path: data/code/perl/*/*.parquet |
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split: train |
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- config_name: code-php |
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data_files: |
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- path: data/code/php/*/*.parquet |
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split: train |
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- config_name: code-python |
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data_files: |
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- path: data/code/python/*/*.parquet |
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split: train |
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- config_name: code-r |
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data_files: |
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- path: data/code/r/*/*.parquet |
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split: train |
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- config_name: code-racket |
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data_files: |
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- path: data/code/racket/*/*.parquet |
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split: train |
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- config_name: code-ruby |
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data_files: |
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- path: data/code/ruby/*/*.parquet |
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split: train |
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- config_name: code-rust |
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data_files: |
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- path: data/code/rust/*/*.parquet |
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split: train |
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- config_name: code-scala |
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data_files: |
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- path: data/code/scala/*/*.parquet |
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split: train |
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- config_name: code-swift |
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data_files: |
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- path: data/code/swift/*/*.parquet |
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split: train |
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- config_name: code-tex |
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data_files: |
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- path: data/code/tex/*/*.parquet |
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split: train |
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- config_name: code-typescript |
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data_files: |
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- path: data/code/typescript/*/*.parquet |
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split: train |
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- config_name: AmendementsParlement |
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data_files: |
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- path: data/natural/*/AmendementsParlement/*.parquet |
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split: train |
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- config_name: AmericanStories |
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data_files: |
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- path: data/natural/*/AmericanStories/*.parquet |
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split: train |
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- config_name: Claire |
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data_files: |
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- path: data/natural/*/Claire/*.parquet |
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split: train |
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- config_name: Claire-en |
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data_files: |
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- path: data/natural/en/Claire/*.parquet |
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split: train |
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- config_name: Claire-fr |
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data_files: |
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- path: data/natural/fr/Claire/*.parquet |
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split: train |
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- config_name: CroissantAligned |
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data_files: |
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- path: data/natural/*/CroissantAligned/*.parquet |
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split: train |
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- config_name: DiscoursPublics |
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data_files: |
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- path: data/natural/*/DiscoursPublics/*.parquet |
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split: train |
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- config_name: Europarl |
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data_files: |
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- path: data/natural/*/Europarl/*.parquet |
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split: train |
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- config_name: Europarl-de |
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data_files: |
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- path: data/natural/de/Europarl/*.parquet |
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split: train |
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- config_name: Europarl-en |
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data_files: |
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- path: data/natural/en/Europarl/*.parquet |
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split: train |
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- config_name: Europarl-es |
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data_files: |
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- path: data/natural/es/Europarl/*.parquet |
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split: train |
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- config_name: Europarl-fr |
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data_files: |
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- path: data/natural/fr/Europarl/*.parquet |
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split: train |
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- config_name: EuroparlAligned |
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data_files: |
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- path: data/natural/*/EuroparlAligned/*.parquet |
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split: train |
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- config_name: EuroparlAligned-de,fr |
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data_files: |
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- path: data/natural/de-fr/EuroparlAligned/*.parquet |
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split: train |
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- config_name: EuroparlAligned-es,en |
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data_files: |
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- path: data/natural/es-en/EuroparlAligned/*.parquet |
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split: train |
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- config_name: EuroparlAligned-fr,en |
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data_files: |
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- path: data/natural/fr-en/EuroparlAligned/*.parquet |
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split: train |
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- config_name: EuroparlAligned-it,en |
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data_files: |
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- path: data/natural/it-en/EuroparlAligned/*.parquet |
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split: train |
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- config_name: Eurovoc |
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data_files: |
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- path: data/natural/*/Eurovoc/*.parquet |
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split: train |
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- config_name: Eurovoc-de |
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data_files: |
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- path: data/natural/de/Eurovoc/*.parquet |
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split: train |
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- config_name: Eurovoc-en |
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data_files: |
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- path: data/natural/en/Eurovoc/*.parquet |
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split: train |
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- config_name: Eurovoc-es |
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data_files: |
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- path: data/natural/es/Eurovoc/*.parquet |
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split: train |
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- config_name: Eurovoc-it |
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data_files: |
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- path: data/natural/it/Eurovoc/*.parquet |
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split: train |
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- config_name: FineWebEdu |
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data_files: |
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- path: data/natural/*/FineWebEdu/*.parquet |
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split: train |
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- config_name: GallicaMonographies |
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data_files: |
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- path: data/natural/*/GallicaMonographies/*.parquet |
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split: train |
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- config_name: GallicaPress |
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data_files: |
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- path: data/natural/*/GallicaPress/*.parquet |
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split: train |
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- config_name: Gutenberg |
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data_files: |
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- path: data/natural/*/Gutenberg/*.parquet |
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split: train |
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- config_name: Gutenberg-de |
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data_files: |
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- path: data/natural/de/Gutenberg/*.parquet |
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split: train |
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- config_name: Gutenberg-en |
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data_files: |
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- path: data/natural/en/Gutenberg/*.parquet |
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split: train |
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- config_name: Gutenberg-es |
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data_files: |
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- path: data/natural/es/Gutenberg/*.parquet |
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split: train |
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- config_name: Gutenberg-fr |
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data_files: |
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- path: data/natural/fr/Gutenberg/*.parquet |
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split: train |
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- config_name: Gutenberg-it |
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data_files: |
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- path: data/natural/it/Gutenberg/*.parquet |
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split: train |
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- config_name: HAL |
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data_files: |
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- path: data/natural/*/HAL/*.parquet |
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split: train |
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- config_name: InterventionsParlement |
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data_files: |
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- path: data/natural/*/InterventionsParlement/*.parquet |
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split: train |
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- config_name: LEGI |
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data_files: |
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- path: data/natural/*/LEGI/*.parquet |
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split: train |
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- config_name: MathPile |
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data_files: |
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- path: data/natural/*/MathPile/*.parquet |
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split: train |
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- config_name: OpenData |
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data_files: |
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- path: data/natural/*/OpenData/*.parquet |
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split: train |
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- config_name: OpenEdition |
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data_files: |
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- path: data/natural/*/OpenEdition/*.parquet |
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split: train |
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- config_name: PeS2o |
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data_files: |
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- path: data/natural/*/PeS2o/*.parquet |
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split: train |
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- config_name: Persee |
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data_files: |
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- path: data/natural/*/Persee/*.parquet |
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split: train |
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- config_name: QuestionsEcritesParlement |
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data_files: |
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- path: data/natural/*/QuestionsEcritesParlement/*.parquet |
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split: train |
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- config_name: RedPajama |
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data_files: |
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- path: data/natural/*/RedPajama/*.parquet |
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split: train |
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- config_name: RedPajama-de |
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data_files: |
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- path: data/natural/de/RedPajama/*.parquet |
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split: train |
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- config_name: RedPajama-es |
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data_files: |
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- path: data/natural/es/RedPajama/*.parquet |
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split: train |
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- config_name: RedPajama-fr |
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data_files: |
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- path: data/natural/fr/RedPajama/*.parquet |
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split: train |
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- config_name: RedPajama-it |
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data_files: |
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- path: data/natural/it/RedPajama/*.parquet |
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split: train |
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- config_name: Stac |
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data_files: |
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- path: data/natural/*/Stac/*.parquet |
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split: train |
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- config_name: TheStack |
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data_files: |
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- path: data/code/*/TheStack/*.parquet |
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split: train |
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- config_name: Theses |
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data_files: |
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- path: data/natural/*/Theses/*.parquet |
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split: train |
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- config_name: Wikipedia |
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data_files: |
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- path: data/natural/*/Wikipedia/*.parquet |
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split: train |
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- config_name: Wikipedia-de |
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data_files: |
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- path: data/natural/de/Wikipedia/*.parquet |
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split: train |
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- config_name: Wikipedia-en |
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data_files: |
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- path: data/natural/en/Wikipedia/*.parquet |
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split: train |
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- config_name: Wikipedia-es |
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data_files: |
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- path: data/natural/es/Wikipedia/*.parquet |
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split: train |
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- config_name: Wikipedia-fr |
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data_files: |
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- path: data/natural/fr/Wikipedia/*.parquet |
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split: train |
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- config_name: Wikipedia-it |
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data_files: |
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- path: data/natural/it/Wikipedia/*.parquet |
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split: train |
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- config_name: Wikisource |
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data_files: |
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- path: data/natural/*/Wikisource/*.parquet |
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split: train |
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- config_name: Wiktionary |
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data_files: |
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- path: data/natural/*/Wiktionary/*.parquet |
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split: train |
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- config_name: YouTube |
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data_files: |
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- path: data/natural/*/YouTube/*.parquet |
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split: train |
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--- |
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|
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# Dataset Card |
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|
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The Lucie Training Dataset is a curated collection of text data |
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in English, French, German, Spanish and Italian, |
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from the web, |
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video subtitles, |
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collections of books, newspapers, monographies, and magazines processed by Optical Character Recognition (OCR), |
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as well as collections of files in diverse programming languages. |
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|
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It was used to pretrain [Lucie-7B](https://huggingface.co/OpenLLM-France/Lucie-7B), |
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a foundation LLM with strong capabilities in French and English. |
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|
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## Dataset Description |
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|
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This dataset was made to provide an extensive and diverse dataset for training Large Language Models (LLM), |
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with the following motivations in mind: |
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* Data mix: |
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* French is as well represented as English |
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(Lucie Training Dataset is one of the biggest of collection of French text data with a minimum of quality), |
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to avoid that the LLM is culturally biased towards English. |
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* German, Spanish and Italian are also represented to some extend, |
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* Code is also included to boost the reasoning capabilities of LLM. |
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* Data filtering and deduplication: |
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* The dataset is cleaned low-quality data |
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* The dataset is cleaned from duplicates to some extend, following best practices. |
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* Ethics: |
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* A special care was taken to respect copyright laws and the privacy of individuals. |
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All books, newspapers, monographies, and magazines are in the public domain |
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(which depends on the author's death date, and the country of publication). |
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* There is no data from the web for which robots.txt files forbid crawling. |
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|
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### Dataset Structure |
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|
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The corpus contains the following information for each text sample: |
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* `text`: the text sample itself. |
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* `source`: an identifier for the source(s) of the text sample (`Wikipedia`, `RedPajama`, `Gutenberg`, …). |
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The list of all sources is described in this document. |
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* `id`: an identifier that is unique among the source. |
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* `language`: the language of the text sample, which can be: |
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* the ISO 639-1 code of a natural language: `en`, `fr`, `de`, `es`, or `it`; |
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* the common name prefixed by "`code:`" of a programming language: `code:python`, `code:c++`, …; or |
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* a list of ISO 639-1 codes separated by commas, if the text sample is multilingual: `fr,en`, `de,fr`, `es,en`, `it,en` |
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(or in the opposite order if the languages appear in the opposite order in the text). |
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* `url` (optional): the URL of the original text sample on the web, if available. |
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* `title` (optional): the title of the original text sample, if available. |
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* `author` (optional): the author of the original text sample, if available. |
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Usually the author name in plain text, except for `Gutenberg` where it is the JSON serialized object of the author metadata. |
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* `date` (optional): the publication date of the original text sample, if available. The text format of the source depends on the source. |
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* `quality_signals` (optional): a list of quality signals about the text sample (that could be used for further filtering or sample weighting). |
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It can include indicators computed by `fasttext` and `CCNet`, statistics about occurrences of characters, words, special characters, etc. |
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This field is always a JSON serialized object. |
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* `extra` (optional): JSON serialized extra information about the text sample. |
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This can include metadata about the source subset, the rights, etc. |
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Examples of metadata (except from `text`) are shown for each source in [metadata_examples.json](metadata_examples.json). |
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|
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### Example use in python |
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|
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Load the dataset using the `datasets` library: |
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```python |
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from datasets import load_dataset |
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|
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kwargs = {"split": "train", "streaming": True} |
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|
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dataset = load_dataset("OpenLLM-France/Lucie-Training-Dataset", **kwargs) |
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``` |
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|
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Several configurations are available to select a language, a source, or both, illustrated in the following examples. |
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|
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Load data in French: |
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```python |
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dataset = load_dataset("OpenLLM-France/Lucie-Training-Dataset", "fr", **kwargs) |
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``` |
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Load data where French and English are aligned: |
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```python |
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dataset = load_dataset("OpenLLM-France/Lucie-Training-Dataset", "fr,en", **kwargs) |
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``` |
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Load data corresponding to files with programming languages: |
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```python |
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dataset = load_dataset("OpenLLM-France/Lucie-Training-Dataset", "code", **kwargs) |
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``` |
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Load data in Python: |
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```python |
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dataset = load_dataset("OpenLLM-France/Lucie-Training-Dataset", "code:python", **kwargs) |
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``` |
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Load data from Wikipedia (in available languages): |
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```python |
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dataset = load_dataset("OpenLLM-France/Lucie-Training-Dataset", "Wikipedia", **kwargs) |
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``` |
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Load data from French pages of Wikipedia ([wikipedia.fr](https://www.wikipedia.fr/)): |
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```python |
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dataset = load_dataset("OpenLLM-France/Lucie-Training-Dataset", "Wikipedia-fr", **kwargs) |
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``` |
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