---
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}
}
```