Create README.md

README.md

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+---
+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")
+```
+