| --- |
| license: odc-by |
| tags: |
| - reproducibility |
| - verification |
| - synthetic-persona-pretraining |
| pretty_name: SPP Corpus Verification |
| --- |
| |
| # SPP Corpus Verification |
|
|
| Checksums and document-boundary indices for verifying a rebuilt copy of the |
| **Synthetic Persona Pretraining (SPP)** training corpus, byte for byte. |
|
|
| The Megatron token streams themselves are **2.17 TB** (`annotated.bin` 421 GB, |
| `compact.bin` 1.75 TB) and are fully derived from the published reflections, the |
| uid manifest, and the tokenizer recipe — so they are not published. These |
| `.idx` sidecars carry per-document boundaries and lengths, which is enough to |
| prove an independently rebuilt `.bin` matches ours at ~200× less data. |
|
|
| > 🔁 **Manifest (what to rebuild from):** [`dlab-spp/corpus-1T-manifest`](https://huggingface.co/datasets/dlab-spp/corpus-1T-manifest) |
| > |
| > 📄 **Reflections:** [`dlab-spp/reflection-50m`](https://huggingface.co/datasets/dlab-spp/reflection-50m) |
|
|
| ## Files |
|
|
| | file | size | what | |
| | --- | --- | --- | |
| | `annotated.idx` | 2.06 GB | document boundaries for the annotated stream (102,772,028 docs) | |
| | `compact.idx` | 8.55 GB | document boundaries for the compact stream (925,065,551 docs) | |
| | `token_lengths.npy` | 0.41 GB | per-document token counts, annotated stream | |
| | `checksums.json` | — | sha256 + byte size for each of the above | |
|
|
| ## How to use |
|
|
| Rebuild the streams per `REPRODUCTION.md` §6, then compare your `.idx` document |
| boundaries against these. |
|
|
| **The failure this is most likely to catch:** using |
| `transformers.AutoTokenizer` instead of the Rust `tokenizers` library. The two |
| disagree on `\n\n` — Rust emits a single token `1116`, `AutoTokenizer` emits |
| `[198, 198]` — so the wrong tokenizer shifts boundaries on essentially every |
| document containing a blank line. |
|
|
| Two other things worth asserting while you are here: the truncation cap is |
| **1919 content tokens** (`enable_truncation(max_length=1920)`, EOS counts toward |
| the limit), with 25.4% of annotated rows sitting exactly at it; and the measured |
| annotated-stream total is **107,007,683,660 tokens**, about 3% below the 110.30B |
| estimate in the subsample metadata, which was computed on untruncated text. |
|
|
| ## License and attribution |
|
|
| Released under the **Open Data Commons Attribution License (ODC-BY 1.0)**, |
| inherited from the upstream source. |
|
|
| > Contains information from [`allenai/dolma3_mix-6T`](https://huggingface.co/datasets/allenai/dolma3_mix-6T), |
| > made available under the Open Data Commons Attribution License (ODC-BY 1.0). |
|
|
| Please cite Olmo 3 ([arXiv:2512.13961](https://arxiv.org/abs/2512.13961)) and observe AI2's |
| [Responsible Use Guidelines](https://allenai.org/responsible-use). |
|
|
