Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Multilinguality:
multilingual
Size Categories:
unknown
Language Creators:
crowdsourced
| annotations_creators: [] | |
| language_creators: | |
| - crowdsourced | |
| language: ["en","code"] | |
| multilinguality: | |
| - multilingual | |
| size_categories: | |
| - unknown | |
| source_datasets: [] | |
| task_categories: | |
| - text-generation | |
| task_ids: | |
| - language-modeling | |
| ## Dataset Description | |
| 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). | |
| ## Languages | |
| The dataset contains technical text on programming languages and natural language with the following subsets, | |
| - Bible | |
| - TED2020 | |
| - PileOfLaw | |
| - StackExchange | |
| - GithubIssues | |
| - Opensubtitles | |
| - USPTO | |
| - S2ORC | |
| - DevDocs | |
| - CodePileReddit2022 | |
| - USENET | |
| - GNOME | |
| - ASFPublicMail | |
| - PileV2Reddit2020 | |
| - CodePilePosts | |
| - Discourse | |
| - Tanzil | |
| - arXiv | |
| - UbuntuIRC | |
| - PubMed | |
| - CodePileReddit2020 | |
| - CodePileReddit2021 | |
| - GlobalVoices | |
| - FreeLaw_Options | |
| - PileV2Posts | |
| ## Dataset Structure | |
| ```python | |
| from datasets import load_dataset | |
| load_dataset("CarperAI/pile-v2-small") | |
| ``` | |
| ### How to use it | |
| You can either load the whole dataset like above, or load a specific subset such as arxiv by specifying the folder directory: | |
| ```python | |
| load_dataset("CarperAI/pile-v2-small", data_dir="data/arxiv") | |
| ``` | |