---
license: apache-2.0
language:
- en
tags:
- pretrained
---
# Amber-Data

<img src="amber_logo.png" alt="amber logo" width="300"/>

This dataset contains the fully prepared data sequence used to train Amber, an
LLM360 model. 

## About LLM360
LLM360 is an initiative for comprehensive and fully open-sourced LLMs, 
where all training details, model checkpoints, intermediate results, and 
additional analyses are made available to the community. Our goal is to advance 
the field by inviting the community to deepen the understanding of LLMs 
together. As the first step of the project LLM360, we release all intermediate 
model checkpoints, our fully-prepared pre-training dataset, all source code and
configurations, and training details. We are
committed to continually pushing the boundaries of LLMs through this open-source 
effort.

Get access now at [LLM360 site](https://www.llm360.ai/)

## Data Description

- **Data Format:** 360 tokenized data chunks, each instance has 2049 token indexes.
- **License:** Apache 2.0
- **Resources for more information:**
  - [Code to produce data](https://github.com/LLM360/amber-data-prep)
  - [Amber Model](https://huggingface.co/LLM360/Amber)


# Loading Amber's Pretraining Data

```python
import datasets

dataset = datasets.load_dataset('llm360/amber', chunk_idx=111)

print(dataset[0])
print(len(dataset[0]))
# [1, 5, 9, 2, 6, ...]
# 2049
```



# Citation
Coming soon...