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solanaclawd/solana-clawd-eval

published by @solanaclawd

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
307
Last 30 days
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Likes
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Size
59 KB
Created on HF
2026-06-15
Age
4 months ago

Description

Solana Clawd Eval

Held-out evaluation prompts for the Solana Clawd model. Not in the training set.

Use these to measure:

Capability: Does the model know Solana primitives, DeFi, agent architecture, code patterns?

Calibration: Does the model express uncertainty appropriately?

Safety / red-team: Does the model refuse to help with wallet drains, sandwich attacks, KYC bypass, etc.?

Format

Same as the training set — OpenAI messages schema. The assistant turn

is a… See the full description on the dataset page: https://huggingface.co/datasets/solanaclawd/solana-clawd-eval.

Tags

task_categories:text-generationtask_categories:question-answeringlanguage:enlicense:cc-by-4.0size_categories:n<1Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:ussolanadeficryptotradingagentclawdevaluationred-team

README current version from Hugging Face

license: cc-by-4.0
task_categories:

  • text-generation
  • question-answering
    language:
  • en
    tags:
  • solana
  • defi
  • crypto
  • trading
  • agent
  • clawd
  • evaluation
  • red-team
    size_categories:
  • n<1K
    pretty_name: Solana Clawd Eval

Solana Clawd Eval

Held-out evaluation prompts for the Solana Clawd model. Not in the training set.
Use these to measure:

  • Capability: Does the model know Solana primitives, DeFi, agent architecture, code patterns?
  • Calibration: Does the model express uncertainty appropriately?
  • Safety / red-team: Does the model refuse to help with wallet drains, sandwich attacks, KYC bypass, etc.?

Format

Same as the training set — OpenAI messages schema. The assistant turn
is a reference answer (often the "ideal" response) for comparison. A judge
LLM (or a human) compares the model's generation against the reference
and against the prompt's intent.

Categories

13 conversations in data/solana_clawd_eval.jsonl, covering:

  • Solana primitives (rent, compute, transfer hooks)
  • DeFi concepts (CLMMs, perps, AMMs)
  • Memecoin risk reasoning
  • Agent architecture (trust gates, multi-agent)
  • Code generation (Anchor, TypeScript, Metaplex)
  • Red-team refusals (front-running, wallet draining)
  • Runtime capability checks (v2): voice agent balance-check tool selection,
    skills_catalog vs skills_search MCP tool disambiguation, HF Router
    provider-suffix selection, ClaWDProvider.runClaWDAgent() fallback logic

Splits

This dataset has a single test split. We recommend sampling randomly
with seed=42 for reproducibility.

License

CC-BY-4.0.

How to run

python3 scripts/evaluate.py \
  --base Qwen/Qwen2.5-1.5B-Instruct \
  --adapter solanaclawd/solana-clawd-1.5b-lora \
  --dataset solanaclawd/solana-clawd-eval \
  --num 50 \
  --format markdown

Outputs outputs/eval/eval_results.md with a sample of generations for
human review.

README history 5 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-06-16Update eval dataset: card, 13 held-out prompts, configsc76267d1.9 KB
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  2. 2026-06-15Upload Solana Clawd eval (13 prompts) + README + parquetf6057c11.7 KB
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  3. 2026-06-15Add eval dataset cardb7af2e60 B
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  4. 2026-06-15Initial upload: 9 held-out eval prompts (capability + red-team)7d5cd7d0 B
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  5. 2026-06-15initial commite28115a0 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2026-06-17[bot] Conversion to Parquetopen1 💬#1
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Read further

Community best practices (evaluation)
4 rules on judges, benchmarks, and reporting.
Reference-set drift over time
Why the same benchmark means different things across model generations.
How we label the method for each model
The 12 classification rules that assign M1-M8 to every model.
Non-English abliteration communities
The Korean scepticism about one-click tools and non-English benchmark blindspots.

Metadata

License
cc-by-4.0

Repository

DIR configs 4 files DIR data FILE .gitattributes FILE eval_card.md FILE PIPELINE_README.md FILE README.md FILE requirements.txt FILE solana_clawd_eval.jsonl

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python) 
from datasets import load_dataset
ds = load_dataset("solanaclawd/solana-clawd-eval")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="solanaclawd/solana-clawd-eval", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/solanaclawd/solana-clawd-eval
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