| ## Dataset Summary |
| This dataset is a **2 Billion token subset** of the [RedPajama-Data-1T](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) dataset created by Together Computer. |
|
|
| It was created to provide a smaller, lightweight version of the massive 1.2 Trillion token dataset for testing, debugging, and small-scale pre-training experiments. This specific subset was streamed primarily from the **C4 (Colossal Clean Crawled Corpus)** partition of the original RedPajama dataset. |
|
|
| ## Dataset Structure |
| The dataset retains the original structure of RedPajama. Each row contains: |
| - **text**: The actual content (string). |
| - **meta**: Metadata dict containing `url`, `timestamp`, `source`, etc. |
| - **subset**: The name of the RedPajama subset this sample came from (e.g., `c4`). |
|
|
| ## Source Data |
| This dataset is a direct downstream derivative of **RedPajama-Data-1T**. |
|
|
| - **Original Repository:** [togethercomputer/RedPajama-Data-1T](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) |
| - **Original Author:** Together Computer |
| - **Subset Used:** `c4` (Colossal Clean Crawled Corpus) |
|
|
| ## Creation Process |
| This dataset was generated using the Hugging Face `datasets` library with the following methodology: |
|
|
| 1. **Direct Streaming:** Data was streamed directly from the original source files to avoid downloading the full 5TB dataset. |
| 2. **Selection:** The first ~2 Billion tokens were selected from the `c4` split. |
| 3. **Token Counting:** Token counts were estimated using the `EleutherAI/gpt-neox-20b` tokenizer (or a 1 token ≈ 4 characters approximation). |
|
|
| ## Licensing Information |
| Since this is a subset of RedPajama, it inherits the licensing terms of the original data. |
|
|
| - **RedPajama-Data-1T** is distributed under the licenses of its underlying data sources. |
| - **C4 (Common Crawl)**: Terms of Use are available [here](https://commoncrawl.org/terms-of-use/). |
| - **Code/Scripts**: The code used to generate this subset is Open Source. |
|
|
| ## Citation |
| If you use this dataset, please cite the original RedPajama paper: |
|
|
| ```bibtex |
| @software{together2023redpajama, |
| author = {Together Computer}, |
| title = {RedPajama: An Open Source Recipe to Reproduce LLaMA training dataset}, |
| month = April, |
| year = 2023, |
| url = {[https://github.com/togethercomputer/RedPajama-Data](https://github.com/togethercomputer/RedPajama-Data)} |
| } |