parameter-golf-data / README.md
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---
license: odc-by
task_categories:
- text-generation
language:
- en
pretty_name: Parameter Golf Competition Data
size_categories:
- 1B<n<10B
tags:
- parameter-golf
- fineweb
- language-modeling
- competition
---
# Parameter Golf Competition Data
Pre-tokenized [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb) shards for the [OpenAI Parameter Golf](https://github.com/openai/parameter-golf) competition.
**Two tokenizations included:**
- **SP1024** — SentencePiece BPE, 1024 tokens (competition default)
- **Scylla** — TokenMonster-derived, 998 tokens (community alternative from [PR #1143](https://github.com/openai/parameter-golf/pull/1143))
## Why this exists
Every time you launch a GPU pod, re-downloading 16+ GB of data from the competition repo costs 10-30 minutes of billable GPU time. This dataset provides the same data via `huggingface-cli download` — fast, resumable, and available from any provider (RunPod, Modal, Colab, Vast.ai).
## Quick Start
```bash
# Full SP1024 dataset (~11 GB)
huggingface-cli download LightSpeedUp/parameter-golf-data --include "fineweb_sp1024/*" --local-dir /workspace/data
# Full Scylla dataset (~11 GB)
huggingface-cli download LightSpeedUp/parameter-golf-data --include "fineweb_scylla/*" --local-dir /workspace/data
# Tokenizers only
huggingface-cli download LightSpeedUp/parameter-golf-data --include "tokenizers/*" --local-dir /workspace/data
# Mini subset for smoke tests (~2 GB, 10 shards + val)
huggingface-cli download LightSpeedUp/parameter-golf-data \
--include "fineweb_sp1024/fineweb_train_00000?.bin" \
--include "fineweb_sp1024/fineweb_val*" \
--local-dir /workspace/data
# Val only (~200 MB)
huggingface-cli download LightSpeedUp/parameter-golf-data \
--include "fineweb_sp1024/fineweb_val*" \
--local-dir /workspace/data
```
## Dataset Structure
```
parameter-golf-data/
├── fineweb_sp1024/
│ ├── fineweb_train_000000.bin ... fineweb_train_000079.bin (80 shards, ~11 GB)
│ └── fineweb_val_000000.bin (1 shard, ~200 MB)
├── fineweb_scylla/
│ ├── fineweb_train_000000.bin ... fineweb_train_000079.bin (80 shards, ~11 GB)
│ └── fineweb_val_000000.bin (1 shard)
├── tokenizers/
│ ├── fineweb_1024_bpe.model (SP1024 SentencePiece)
│ ├── scylla/candidate.vocab (TokenMonster 998)
│ └── scylla/candidate.meta.npz (byte LUTs)
└── SHA256SUMS.txt (integrity manifest)
```
## Data Integrity
Verify your download:
```bash
cd /workspace/data
sha256sum -c SHA256SUMS.txt
```
## Provenance
- **Source:** [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb) (CommonCrawl-derived, by Hugging Face)
- **SP1024 tokenization:** SentencePiece BPE trained on FineWeb, 1024 tokens — from [openai/parameter-golf](https://github.com/openai/parameter-golf) competition repo
- **Scylla tokenization:** TokenMonster vocabulary (998 tokens) by [@simon-marcus](https://github.com/simon-marcus) ([PR #1143](https://github.com/openai/parameter-golf/pull/1143)). Retokenized using our [retokenize_scylla.py](https://github.com/MatoTeziTanka/parameter-golf-private) pipeline.
- **No modification** to token sequences — these are byte-identical to what you'd get by cloning the competition repo and running the tokenizer yourself.
## Attribution Chain
FineWeb → CommonCrawl (CC-BY) → Hugging Face (ODC-By 1.0) → This dataset (ODC-By 1.0)
## License
**Data:** [Open Data Commons Attribution License (ODC-By 1.0)](https://opendatacommons.org/licenses/by/1-0/) — required by FineWeb upstream license. You may use, share, and adapt this data with attribution.
**Retokenization code:** Apache 2.0 — see [PATENTS.md](PATENTS.md) for patent boundary notice.
## Community
- [The Agora](https://matotezitanka.github.io/parameter-golf) — live leaderboard + compliance tracker
- [Issue #942](https://github.com/openai/parameter-golf/issues/942) — compute resources discussion
- [Issue #140](https://github.com/openai/parameter-golf/issues/140) — competition discussion thread
Built by [Light Speed Up](https://lightspeedup.com) for the Parameter Golf community.