| --- |
| 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](https://huggingface.co/datasets/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. |
|
|
