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README.md

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+Dataset Summary
+This dataset is a 2 Billion token subset of the 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
+
+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:
+
+Direct Streaming: Data was streamed directly from the original source files to avoid downloading the full 5TB dataset.
+
+Selection: The first ~2 Billion tokens were selected from the c4 split.
+
+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.
+Code/Scripts: The code used to generate this subset is Open Source.
+
+Citation
+If you use this dataset, please cite the original RedPajama paper:
+@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}
+}