README.md

---
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 833854024
    num_examples: 104403
  download_size: 431384788
  dataset_size: 833854024
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-sa-4.0
task_categories:
- text-generation
---
<p align="center">
  <img alt="Omni 0 preview header" src="https://github.com/omniomni-ai/omni-0-preview-models/raw/refs/heads/main/omni-0-preview-models-image.png">
</p>

<p align="center">
  <a href="https://github.com/omniomni-ai"><strong>GitHub</strong></a> &nbsp
   <a href="https://omniomni.framer.website/"><strong>Website</strong></a> &nbsp
    <strong>Paper (Coming Soon)</strong>
</p>

<br>

## Dataset Details
This dataset is a combination of corpora of text from scientific Wikipedia articles and scientific papers across major fields of science. This dataset contains continued-pretrain data.

### Sources

This dataset was sourced from the following open-sourced datasets:

**Science**
- [zeroshot/arxiv-biology](https://huggingface.co/datasets/zeroshot/arxiv-biology)
- [legacy-datasets/wikipedia](https://huggingface.co/datasets/legacy-datasets/wikipedia)
- [bisectgroup/PubMed_TA](https://huggingface.co/datasets/bisectgroup/PubMed_TA)
- [bluuebunny/biorxiv_abstract_embedding_mxbai_large_v1_milvus](https://huggingface.co/datasets/bluuebunny/biorxiv_abstract_embedding_mxbai_large_v1_milvus)
- [laion/chemrXiv-pdf](https://huggingface.co/datasets/laion/chemrXiv-pdf)