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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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pretty_name: 'Pico Dataset: Pre-tokenized, Pre-shuffled Dolma' |
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size_categories: |
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- 100B<n<1T |
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--- |
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## The Pico Dataset |
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A pre-tokenized, pre-shuffled version of [Dolma](https://huggingface.co/datasets/allenai/dolma), the high-quality text corpus from AI2. |
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### Overview |
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The Pico dataset simplifies training by providing: |
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- Pre-tokenized text in chunks of 2048 tokens, using the [OLMo Tokenizer](https://huggingface.co/allenai/OLMo-7B-0724-hf/blob/main/tokenizer_config.json) |
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- Pre-shuffled data for consistent training |
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- Streaming-friendly format |
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- 420B tokens total (perfect for 200K steps at batch size 1024) |
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### Benefits |
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- **Storage Efficient**: No need to download the full 10TB Dolma dataset |
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- **Memory Efficient**: Stream data directly with `load_dataset(..., streaming=True)` |
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- **Reproducible**: All models see identical data in identical order |
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- **Fast**: Skip tokenization during training |
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- **Simple**: Minimal boilerplate code needed |
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### Usage |
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1. Set up HuggingFace credentials in `.env`: |
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``` |
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HF_USERNAME=your_username |
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HF_TOKEN=your_token # Get from https://huggingface.co/settings/tokens |
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``` |
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2. Set up in python: |
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``` |
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from datasets import load_dataset |
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dataset = load_dataset("pico-lm/pretokenized-dolma", streaming=True) |
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``` |
