---
license: other
language:
- en
task_categories:
- text-generation
tags:
- nanochat
- nemotron
- midtrain
- math
- reasoning
pretty_name: d24 Midtrain — OLMo-3 Dolmino (10B, whole-doc)
size_categories:
- 10M<n<100M
configs:
- config_name: default
  data_files:
  - split: train
    path: data/*.parquet
---
# d24 Midtrain — OLMo-3 Dolmino (10B, whole-doc)

A **9.3B-token** reproduction of OLMo 3's Dolma-3 Dolmino mid-train mix, built by
taking a fraction of **each** component of
[`allenai/dolma3_dolmino_mix-100B-1025`](https://huggingface.co/datasets/allenai/dolma3_dolmino_mix-100B-1025).
**No length filter and no chunking** — every document is kept **whole** (some are very long: tens of
thousands of tokens). Each component reaches its target, so the realized mix matches OLMo-3's true
proportions (the OLMo-3 target % column ≈ the kept share). For training, the Megatron data loader
concatenates documents and slices the stream into fixed-length (2048-token) sequences, so whole docs
need no pre-chunking.

- **19,403,492 documents**, **~9.3B GPT-2 tokens** of plain text.
- Each row: `component` (str) and `text` (str). Documents are **whole** (unfiltered, unchunked).

## Components (realized ≈ OLMo-3 target)
| component | documents | ~tokens | OLMo-3 target % |
|---|--:|--:|--:|
| `common_crawl-high-quality` | 1,534,917 | ~2402M | 22.50% |
| `dolmino-math` | 1,590,032 | ~1049M | 10.70% |
| `cranecode` | 655,845 | ~702M | 10.00% |
| `stack_edu-fim` | 873,675 | ~654M | 10.00% |
| `reddit_to_flashcards` | 8,756,357 | ~590M | 5.90% |
| `cranemath` | 737,929 | ~489M | 5.63% |
| `dolmino_1-flan` | 1,297,915 | ~520M | 5.00% |
| `nemotron-synth-qa` | 890,612 | ~502M | 5.00% |
| `olmocr_science_pdfs` | 61,883 | ~552M | 5.00% |
| `stem-heavy-crawl` | 571,094 | ~522M | 5.00% |
| `wiki_to_rcqa` | 1,371,600 | ~301M | 3.00% |
| `general_reasoning_mix` | 90,789 | ~155M | 1.87% |
| `qwq-reasoning-traces` | 15,893 | ~131M | 1.87% |
| `megamatt` | 322,394 | ~165M | 1.73% |
| `llama_nemotron-reasoning-traces` | 8,802 | ~101M | 1.25% |
| `openthoughts2-reasoning-traces` | 23,260 | ~94M | 1.25% |
| `tulu-3-sft` | 246,103 | ~116M | 1.10% |
| `tinymath-mind` | 183,429 | ~83M | 0.90% |
| `omr-rewrite-fullthoughts` | 29,341 | ~59M | 0.85% |
| `code-meta-reasoning` | 27,363 | ~51M | 0.46% |
| `math-meta-reasoning` | 16,289 | ~25M | 0.38% |
| `gemini-reasoning-traces` | 5,345 | ~15M | 0.25% |
| `tinymath-pot` | 82,526 | ~24M | 0.24% |
| `program_verifiable` | 10,099 | ~10M | 0.16% |

## Load
```python
from datasets import load_dataset
ds = load_dataset("sfanm/d24-midtrain-olmo3-10b-wholedoc", split="train")
ds = ds.filter(lambda r: r["component"] == "dolmino-math")
```

## Related OLMo-3 midtrain corpora
- [`d24-midtrain-olmo3`](https://huggingface.co/datasets/sfanm/d24-midtrain-olmo3) — ~2.1B, long docs **dropped**.
- [`d24-midtrain-olmo3-5b`](https://huggingface.co/datasets/sfanm/d24-midtrain-olmo3-5b) — ~5B, long docs **chunked** to ≤2048-tok windows.
- **this** — ~10B, long docs kept **whole** (no filter/chunk).

## License / attribution
Derived from [`allenai/dolma3_dolmino_mix-100B-1025`](https://huggingface.co/datasets/allenai/dolma3_dolmino_mix-100B-1025)
(itself a mix of many sources — see its card). Provided **as-is for research**; refer to the
upstream licenses.