Datasets:
metadata
license: odc-by
language:
- en
size_categories:
- 100M<n<1B
task_categories:
- text-generation
tags:
- dolma
- shuffled
dolma3_300B_sample_shuffled
Global row-level shuffle of TheFinAI/dolma3_300B_sample.
Source data uses per-row Bernoulli sampling (p ≈ 0.0506) from
allenai/dolma3_mix-6T-1025-7B to produce ~300B cl100k tokens preserving
the original Dolma3 mix ratios. However the source parquets cluster
records by sub-source on disk (each ~100K-row parquet groups rows from the
same input shard contiguously), which means a small training shuffle
buffer would see a non-uniform source mix per minibatch.
This dataset is a true global shuffle of the source: every row is uniformly randomly assigned to one of 200 output buckets, then each bucket is shuffled in memory. Source mix ratios are unchanged.
Schema: same as source (source, date, text, token_count, category).
Seed: 42.