Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,101 @@
+---
+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.