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+ ---
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+ annotations_creators: []
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+ language_creators:
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+ - crowdsourced
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+ language: ["en","code"]
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+ multilinguality:
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+ - multilingual
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+ size_categories:
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+ - unknown
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+ source_datasets: []
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+ task_categories:
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+ - text-generation
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+ task_ids:
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+ - language-modeling
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+
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+ ---
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+
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+ ## Dataset Description
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+
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+ A small subset in each dataset of `pile-v2`(~1000 samples) of [pile-v2]() dataset, each has 1,000 random samples from the original dataset. The dataset has 255MB of text (code and english).
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+
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+
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+ ## Languages
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+ The dataset contains technical text on programming languages and natural language with the following subsets,
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+ - Bible
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+ - TED2020
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+ - PileOfLaw
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+ - StackExchange
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+ - GithubIssues
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+ - Opensubtitles
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+ - USPTO
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+ - S2ORC
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+ - DevDocs
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+ - CodePileReddit2022
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+ - USENET
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+ - GNOME
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+ - ASFPublicMail
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+ - PileV2Reddit2020
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+ - CodePilePosts
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+ - Discourse
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+ - Tanzil
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+ - arXiv
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+ - UbuntuIRC
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+ - PubMed
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+ - CodePileReddit2020
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+ - CodePileReddit2021
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+ - GlobalVoices
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+ - FreeLaw_Options
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+ - PileV2Posts
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+
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+ ## Dataset Structure
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+
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+ ```python
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+ from datasets import load_dataset
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+ load_dataset("CarperAI/pile-v2-small")
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+ ```
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+ ### How to use it
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+ You can either load the whole dataset like above, or load a specific subset such as arxiv by specifying the folder directory:
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+ ```python
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+ load_dataset("CarperAI/pile-v2-small", data_dir="data/arxiv")
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+ ```
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+