Datasets:
Initial release: 23,471 quality-filtered + deduped Solidity files (~86M tokens)
Browse files- README.md +193 -0
- top10.parquet +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
license: cc-by-4.0
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+
language:
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- en
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| 5 |
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- code
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tags:
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- solidity
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- smart-contracts
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- blockchain
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- ethereum
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- code
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- continued-pretraining
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- quality-filtered
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size_categories:
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- 10K<n<100K
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task_categories:
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- text-generation
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- fill-mask
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pretty_name: Solidity CPT Top-10% Quality-Filtered Corpus
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configs:
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- config_name: default
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data_files:
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- split: train
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path: top10.parquet
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---
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# Solidity CPT Top-10% Quality-Filtered Corpus
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A curated, deduplicated corpus of **23,471 modern Solidity source files (~86M tokens)** intended for continued-pretraining (CPT) of code LLMs on smart-contract code.
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It's the top 10% slice (by composite quality score) of a larger raw corpus that combined:
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- [`ASSERT-KTH/DISL`](https://huggingface.co/datasets/ASSERT-KTH/DISL) — 514 k unique deployed Solidity files, deduped at file level
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- 30 hand-picked GitHub blue-chip protocols (OpenZeppelin, Uniswap v2/v3/v4, Aave v3, Compound, Morpho, EigenLayer, Pendle, Solady, Seaport, LayerZero, ENS, Optimism, Arbitrum, Polygon L1, etc.)
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After scoring all 234 877 raw rows on a 0–115 quality scale (see *Quality filter* below) and keeping the top 10 %, the result is **23 487 source files**. After cross-source SHA-256 deduplication of whitespace-normalised text, **23 471 unique files** remain. This is what's published here.
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## At a glance
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| | |
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|---|---|
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| Rows | 23,471 |
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| Total characters | 342,858,470 |
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| Approx. tokens (Qwen3.6 tokenizer, ~4 chars/tok) | **~86M** |
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| Average chars per row | 14,607 |
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| Source: `disl` (Etherscan-verified) | 20,975 (89 %) |
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| Source: `github/<protocol>` (audited blue-chips) | 2,496 (11 %) |
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| File format | parquet (snappy) + jsonl |
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## Schema
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Each row is one Solidity source file:
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| Field | Type | Description |
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|---|---|---|
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| `text` | string | Raw Solidity source code |
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| `source` | string | `disl` (Etherscan-verified contract) or `github/<repo-slug>` |
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| `address` | string | Ethereum mainnet address (DISL only) |
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| `name` | string | Contract name |
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| `compiler` | string | Solc version e.g. `v0.8.20+commit.a1b2c3d4` (DISL only) |
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| `license` | string | License from Etherscan (often empty) |
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| `path` | string | Path inside the GitHub repo (GitHub rows only) |
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| `n_chars` | int | Length of `text` in characters |
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## Quality filter (composite 0–115 score)
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Every raw row was scored independently on each signal; rows scoring **≥ 55 (top-10% threshold)** were kept.
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| Signal | Points |
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|---|---:|
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| Pragma 0.8.20+ (modern compiler) | +30 |
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| Pragma 0.8.13–19 | +20 |
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| Pragma 0.8.x (any) | +10 |
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| Has SPDX license header | +10 |
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| Has `@notice` / `@dev` NatSpec | +10 |
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| Has `@param` / `@return` NatSpec | +10 |
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| Comment density 5–30 % | +10 |
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| Uses custom errors (`error X();`) | +5 |
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| Uses `unchecked { ... }` blocks | +5 |
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| No SafeMath import (avoids old patterns) | +5 |
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| Size 500–8000 chars | +10 |
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| Source: GitHub blue-chip | +20 |
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**Pre-scoring filters** (applied to all sources before scoring):
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- Pragma must be 0.8.x (0.4–0.7 dropped — incompatible with `forge-std/Test.sol >=0.8.13`)
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- Not flagged as `proxy=True` in DISL (drops EIP-1167/1967 minimal proxies)
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- Has at least one `contract X` declaration (drops interface-only / library-only files)
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- 200 ≤ length ≤ 50000 chars (drops stubs and mega-flatteners)
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- For GitHub: vendored `lib/openzeppelin-contracts`, `lib/forge-std`, `out/`, `cache/`, `typechain-types/` stripped
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**Post-quality dedup**: SHA-256 of the whitespace-collapsed text. Caught 16 cross-source duplicates.
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## Score distribution of the top-10% slice
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The 23 471 surviving rows have scores in [55, 115]. The mode falls in the 55–69 band (typical "modern, idiomatic, audited" Solidity). The long tail (90+) skews heavily toward GitHub blue-chips and DISL contracts that cite their license + use NatSpec extensively.
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## Suggested use
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This corpus is sized for **adapter-based CPT** (LoRA / DoRA) on a 7B–30B+ code LM. Per [Biderman et al. 2024 ("LoRA Learns Less and Forgets Less")](https://arxiv.org/abs/2405.09673), useful adapter-CPT plateaus around 200M–1B tokens — this 86M corpus is on the lower end of that range and works well as a fast first-iteration validation slice.
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For larger adapter-CPT runs, the same pipeline produces:
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- **top30** tier (~70 k rows, ~229M tokens)
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- **top60** tier (~141 k rows, ~458M tokens)
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(Not yet published. Open an issue if you'd like them released.)
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## Loading
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### `datasets` library (recommended)
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```python
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from datasets import load_dataset
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ds = load_dataset("samscrack/solidity-cpt-top10-quality", split="train")
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print(ds) # ~23 471 rows
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print(ds[0]["text"][:500])
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```
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### Direct parquet
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```python
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import pyarrow.parquet as pq
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table = pq.read_table("top10.parquet")
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df = table.to_pandas()
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print(df.head())
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```
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### Streaming (for low-RAM environments)
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```python
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ds = load_dataset(
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"samscrack/solidity-cpt-top10-quality",
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split="train",
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streaming=True,
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)
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for row in ds.take(3):
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print(row["source"], row["name"], row["compiler"])
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```
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## Suggested CPT recipe (Qwen3.6-27B reference)
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This corpus was built for the [Qwopus3.6-27B-solidity-cpt-stageA](https://huggingface.co/samscrack/Qwopus3.6-27B-solidity-cpt-stageA) pipeline. The recipe used:
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- LoRA r=64, α=64, target modules: `q_proj` `k_proj` `v_proj` `o_proj` `gate_proj` `up_proj` `down_proj` `out_proj`
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- Megatron-style packing into 8192-token sequences with EOS separators
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- LR 5e-5 (cosine), bf16 + 4-bit base (QLoRA), 1 epoch
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- Tokenized with the Qwen3.6 tokenizer (vocab 152 k)
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A Stage-A CPT over a 1500-sequence (~12M token) subset of this corpus showed loss drop from a warmup peak of 0.67 to a stable 0.36–0.41 plateau in ~40 steps — clear evidence the data is high-signal for adapter-CPT.
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## License & legal notes
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This dataset is released under **CC BY 4.0**, inheriting the most-restrictive upstream license (DISL is CC BY 4.0).
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**Per-row provenance varies**:
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- DISL rows: derived from Etherscan public-verified contracts. The dataset (and DISL itself) are CC BY 4.0; **the underlying contract source has whatever license the deployer chose** — often empty / "unspecified" / all-rights-reserved by default. Suitable for research and adapter-style CPT, not necessarily safe for redistribution-as-source.
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- GitHub blue-chip rows: each repo has its own SPDX header. Most are MIT or Apache-2.0; some Uniswap pieces are BUSL/GPL. Inspect the `path` field and the upstream repo if license matters for your use case.
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If you need stronger commercial-use guarantees, restrict to rows where:
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- `source` starts with `github/`, AND
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- `text` contains an explicit MIT or Apache-2.0 SPDX line near the top.
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## Citation
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```bibtex
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@misc{solidity_cpt_top10_2026,
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title = {Solidity CPT Top-10\% Quality-Filtered Corpus},
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author = {samscrack},
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year = {2026},
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url = {https://huggingface.co/datasets/samscrack/solidity-cpt-top10-quality}
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}
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```
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If you use this data, please also cite the upstream sources:
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```bibtex
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@misc{disl_2024,
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title = {DISL: Fueling Research with A Large Dataset of Solidity Smart Contracts},
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author = {Storhaug, Andreas et al.},
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year = {2024},
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url = {https://arxiv.org/abs/2403.16861}
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}
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```
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## Acknowledgements
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- [ASSERT-KTH](https://huggingface.co/ASSERT-KTH) for releasing DISL
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- The OpenZeppelin, Uniswap, Aave, Compound, Morpho, EigenLayer, Pendle, Solady, Seaport, LayerZero, ENS, Optimism, Arbitrum, and Polygon teams for keeping their protocol code public and auditable
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- The Foundry team for forge-std (used as the `>=0.8.13` floor for pragma filtering)
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## Changelog
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- **2026-05-03** — initial release; 23 471 rows, ~86M tokens, top 10% by composite quality score
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top10.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:185f1ac548f0df10a8166c8a2a10610bcc3422ce77f51567c3de86ddc8f5e455
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size 109124886
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