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readme preprocessing steps

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  # CrediBench Cleaned
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- **CDB Cleaned** is the pre-processed version of CrediBench.
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  ## Summary
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  - `language`: The language of the text content, and the predicted confidence of said language.
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  # CrediBench Cleaned
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+ **CDB Cleaned** is the pre-processed version of CrediBench. This text data is curated for pre-training, as such we follow general pre-processing steps recommended before pre-training on text.
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  ## Summary
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  - `language`: The language of the text content, and the predicted confidence of said language.
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+ ## Pre-Processing
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+ CDB Cleaned is pre-processed with [nemo-curator](https://github.com/NVIDIA-NeMo/Curator). We processed the text with the following steps:
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+ ### Text-Cleaning
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+ * `UnicodeReformatter`: Uses [ftfy](https://ftfy.readthedocs.io/en/latest/) to fix broken Unicode characters.
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+ * `NewlineNormalizer`: Uses regex to replace 3 or more consecutive newline characters in each document with only 2 newline characters.
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+ * `UrlRemover`: uses regex to remove all URLs in each document.
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+ ### Deduplication
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+ * `Fuzzy Deduplication`: Uses MinHash and Locality Sensitive Hashing to find and remove near-duplicated documents.
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+ ### Language Management
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+ * `FastText Language ID`: To label multilingual content at scale we utilize the [FastText](https://fasttext.cc/docs/en/language-identification.html) language identification model.
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