metadata
license: apache-2.0
language:
- en
pretty_name: 'Pico Dataset: Pre-tokenized, Pre-shuffled Dolma'
size_categories:
- 100B<n<1T
The Pico Dataset
A pre-tokenized, pre-shuffled version of Dolma, the high-quality text corpus from AI2.
Overview
The Pico dataset simplifies training by providing:
- Pre-tokenized text in chunks of 2048 tokens, using the OLMo Tokenizer
- Pre-shuffled data for consistent training
- Streaming-friendly format
- 420B tokens total (perfect for 200K steps at batch size 1024)
Benefits
- Storage Efficient: No need to download the full 10TB Dolma dataset
- Memory Efficient: Stream data directly with
load_dataset(..., streaming=True) - Reproducible: All models see identical data in identical order
- Fast: Skip tokenization during training
- Simple: Minimal boilerplate code needed
Usage
- Set up HuggingFace credentials in
.env:
HF_USERNAME=your_username
HF_TOKEN=your_token # Get from https://huggingface.co/settings/tokens
- Set up in python:
from datasets import load_dataset
dataset = load_dataset("pico-lm/pretokenized-dolma", streaming=True)