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README.md

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+---
+license: odc-by
+task_categories:
+- text-generation
+language:
+- en
+tags:
+- rp
+- 100M
+- parquet
+size_categories:
+- 100M<n<1B
+---
+
+# RedPajama-Data-V2-100M
+
+## Dataset Description
+This is a **100.0 Million token** subset of [krisbailey/RedPajama-Data-V2-1B](https://huggingface.co/datasets/krisbailey/RedPajama-Data-V2-1B), which is a subset of [togethercomputer/RedPajama-Data-V2](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-V2).
+
+## 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:** 99,999,721
+- **Source:** krisbailey/RedPajama-Data-V2-1B
+- **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/RedPajama-Data-V2-100M", split="train")
+print(ds[0])
+```
+
+## Citation
+```bibtex
+@article{together2023redpajama,
+  title={RedPajama: An Open Source Recipe to Reproduce LLaMA training dataset},
+  author={Together Computer},
+  journal={https://github.com/togethercomputer/RedPajama-Data},
+  year={2023}
+}
+```

dataset_stats.json

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+{
+  "total_tokens": 99999721,
+  "total_rows": 79985
+}

train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2a7a79fd618c750193124bc4ddc580c44df579207c31591b8582fe9bede19b4a
+size 401309968