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README.md
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---
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license: apache-2.0
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language:
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- en
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tags:
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- pretrained
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---
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# Amber-Data
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<img src="imgs/amber_logo.png" alt="drawing" width="300"/>
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This dataset contains the fully prepared data sequence used to train Amber, an
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LLM360 model.
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## About LLM360
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LLM360 is an initiative for comprehensive and fully open-sourced LLMs,
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where all training details, model checkpoints, intermediate results, and
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additional analyses are made available to the community. Our goal is to advance
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the field by inviting the community to deepen the understanding of LLMs
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together. As the first step of the project LLM360, we release all intermediate
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model checkpoints, our fully-prepared pre-training dataset, all source code and
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configurations, and training details. We are
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committed to continually pushing the boundaries of LLMs through this open-source
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effort.
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Get access now at [LLM360 site](https://www.llm360.ai/)
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## Data Description
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- **Data Format:** 360 tokenized data chunks, each instance has 2049 token indexes.
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- **License:** Apache 2.0
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- **Resources for more information:**
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- [Code to produce data](https://github.com/LLM360/amber-data-prep)
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- [Amber Model](https://huggingface.co/LLM360/Amber)
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# Loading Amber's Pretraining Data
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```python
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import datasets
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dataset = datasets.load_dataset('llm360/amber', chunk_idx=111)
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print(dataset[0])
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print(len(dataset[0]))
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# [1, 5, 9, 2, 6, ...]
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# 2049
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```
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# Citation
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Coming soon...
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