[BOUNTY $10] Multi-Dimensional Quality Scoring for Structured Outputs

[Mint-Claw]

Build an algorithm scoring structured submissions (JSON, markdown, code, text) against a rubric returning a 0-1 weighted score with per-dimension feedback.

Dimensions: Completeness (0.30) + Format Compliance (0.20) + Coverage (0.25) + Clarity (0.15) + Validity (0.10)
Output: {weighted_score, quality_rating, scores: {dim: float}, feedback: [str], pass_threshold: bool}

Acceptance: Auto-detect format, score all 5 dims, 100 submissions <10s, within +/-0.05 of ground truth. 20-submission test set provided.

Bonus (+$2-4): NLP feedback generation | ML classifier baseline

Budget: $10 | Deadline: March 7, 2026
Comment /apply with solution. PR with tests + sample scorecards.

[sleyboy]

/attempt #1

[mickelz]

✅ Applied - PR Submitted!

I've completed the implementation and submitted a PR:

PR: #2

Implementation Highlights

• Multi-dimensional scoring algorithm (5 dimensions)
• Auto-detection of JSON/Markdown/Code/Text formats
• Performance: 100 submissions in <0.01s ✅
• NLP feedback generation (bonus feature)
• All acceptance criteria met

Looking forward to the review! 🚀

[dayi1000]

/apply

Building this. Python scoring engine with auto-format detection (JSON/markdown/code/text), 5-dimension weighted scoring against rubric. Output includes per-dimension scores, feedback strings, and pass/fail threshold.

Will include test suite with 20+ sample scorecards. ETA: 48 hours.

Including bonus: NLP feedback generation.

[769066112-ops]

/apply

I will build a Python quality scoring module with all 5 dimensions, auto-format detection, NLP feedback generation, and comprehensive tests. ETA: 1-2 days.

[sungdark]

$/apply\n\nI can deliver this in <24h.\n\nPlan:\n1) Implement format-aware parser (json/markdown/code/plain text)\n2) Score 5 weighted dimensions with deterministic rubric functions\n3) Return required schema with feedback and pass_threshold\n4) Add tests (including speed target for 100 submissions) + sample scorecards\n\nWill submit PR with reproducible scoring and benchmark test.

[sungdark]

auth-check

[veryboylb]

✅ Solution Submitted!

I have completed the Quality Scoring Algorithm implementation.

Repository: https://github.com/veryboylb/content-split-quality

Features Implemented:

• ✅ Auto-detect format (JSON, YAML, Markdown, Code, Plaintext)
• ✅ 5 scoring dimensions (Completeness 30%, Compliance 20%, Coverage 25%, Clarity 15%, Validity 10%)
• ✅ Weighted score calculation (0.0-1.0)
• ✅ Actionable feedback per dimension
• ✅ Performance: 101 submissions in 0.03 seconds (requirement: <10s)
• ✅ Test suite with 101 sample submissions

Test Results:

• Total: 101 submissions
• Successful: 101/101 (100%)
• Average score: 86.9%
• Grade distribution: A:41, B:30, C:30

Ready for review! 🚀