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README.md

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+---
+license: odc-by
+task_categories:
+- text-generation
+language:
+- en
+tags:
+- falcon
+- 100M
+- parquet
+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}
+}
+```

dataset_stats.json

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+{
+  "total_tokens": 99999978,
+  "total_rows": 165467
+}

train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a48e54169e97ddea66c512b9fea7e9ef01e70ad8423e0db340e647dd1e4d7cda
+size 287883100