| | --- |
| | license: odc-by |
| | task_categories: |
| | - text-generation |
| | language: |
| | - en |
| | tags: |
| | - falcon |
| | - 100M |
| | - parquet |
| | - web-refined |
| | - text-generation |
| | - clean-web-corpus |
| | - llm-pretrain |
| | - domain-agnostic |
| | - sentence-quality-filtered |
| | - huggingface-refinedweb |
| | size_categories: |
| | - 100M<n<1B |
| | --- |
| | |
| | # falcon-refinedweb-100M |
| |
|
| | ## Dataset Description |
| | This is a **100.0 Million token** subset of [krisbailey/falcon-refinedweb-1B](https://huggingface.co/datasets/krisbailey/falcon-refinedweb-1B), which is a subset of [tiiuae/falcon-refinedweb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb). |
| |
|
| | ## Motivation |
| | 100M tokens is a standard size for: |
| | - **CI/CD Pipelines:** Fast enough to download and train for unit tests. |
| | - **Debugging:** Verifying training loops without waiting for hours. |
| | - **Scaling Laws:** The first step in a logarithmic scaling series (100M -> 1B -> 10B). |
| |
|
| | ## Dataset Details |
| | - **Total Tokens:** 99,999,978 |
| | - **Source:** krisbailey/falcon-refinedweb-1B |
| | - **Structure:** First ~10% of the randomized 1B dataset. |
| | - **Format:** Parquet (Snappy compression) - Single File |
| | - **Producer:** Kris Bailey (kris@krisbailey.com) |
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | ds = load_dataset("krisbailey/falcon-refinedweb-100M", split="train") |
| | print(ds[0]) |
| | ``` |
| |
|
| | ## Citation |
| | ```bibtex |
| | @article{penedo2023refinedweb, |
| | title={The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only}, |
| | author={Penedo, Guilherme and Malartic, Quentin and Hesslow, Daniel and Cojocaru, Ruxandra and Cappelli, Alessandro and Alobeidli, Hamza and Pannier, Baptiste and Almazrouei, Ebtesam and Launay, Julien}, |
| | journal={arXiv preprint arXiv:2306.01116}, |
| | year={2023} |
| | } |
| | ``` |
| |
|
