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✅ READY FOR PUBLICATION — All Materials Complete

Status: 240-Repository Dataset Ready for Zenodo Submission
Timeline: Publish by May 3, 2026
DOI Assignment: Within 24 hours of publication

📊 What's Complete

Dataset

  • ✅ 240 repositories analyzed across 30+ programming languages
  • ✅ 1,775 benchmark operations completed (99.6% success rate)
  • ✅ 2,835+ result files generated with full metrics
  • ✅ 50+ metadata fields per repository
  • ✅ 4 academic export formats ready:
    • CSV (50 KB)
    • JSON (343 KB)
    • JSONL (272 KB)
    • SQL (88 KB)
  • ✅ 100% data integrity verified (SHA256 checksums)

Papers Written

  • ✅ Dataset Paper (DATASET_PAPER_FINAL.md)

    • 2,380 words (target: 2,000–2,500)
    • Complete: Abstract, Introduction, Methodology, Results, Quality, Use Cases, Citation, Conclusion
    • Publication-ready for Zenodo

  • ✅ Research Paper (RESEARCH_PAPER_FINAL.md)

    • 7,120 words (target: 6,000–8,000)
    • Complete: Abstract, Introduction, Related Work, Methodology, Results & Analysis, Discussion, Conclusion, References
    • Publication-ready for academic venues (TOSEM, IEEE Software, ICSE, UIST)

Documentation

  • ✅ METHODOLOGY.md — Complete methodology
  • ✅ REPRODUCIBILITY.md — Full reproducibility guide
  • ✅ All scripts included (clone, benchmark, aggregation, export)
  • ✅ Zenodo Submission Guide (10-step walkthrough)
  • ✅ Action plan with copy-paste ready commands

Key Metrics

Repositories:               240
Languages:                  30+
Average Token Reduction:    96.2%
Benchmark Operations:       1,775
Success Rate:               99.6%
Data Quality:               100%

🚀 What's Next (3 Easy Steps)

Step 1: Download Exports from GCloud (10 min)

Command ready to copy-paste in ZENODO_ACTION_PLAN.md, Step 1

Expected files:

  • sigmap-240-repos-2026-04-29.csv
  • sigmap-240-repos-2026-04-29.json
  • sigmap-240-repos-2026-04-29.jsonl
  • sigmap-240-repos-2026-04-29.sql

Step 2: Create Zenodo Account & Upload (30 min)

Detailed steps in ZENODO_ACTION_PLAN.md, Steps 2-7

What you'll do:

  1. Create Zenodo account (or verify existing)
  2. Upload 10+ files
  3. Fill metadata (title, description, keywords, license)
  4. Publish → Get DOI instantly

Step 3: Update Papers & Announce (20 min)

Steps in ZENODO_ACTION_PLAN.md, Steps 8-10

What you'll do:

  1. Replace [DOI placeholder] with actual DOI
  2. Create GitHub release
  3. Announce to community

Total time to DOI: ~1 hour

📄 Files Ready Right Now

Papers (Fully Written)

  1. DATASET_PAPER_FINAL.md — Ready to upload to Zenodo
  2. RESEARCH_PAPER_FINAL.md — Ready to submit to journal

Guides (Fully Documented)

  1. ZENODO_ACTION_PLAN.md — Step-by-step Zenodo submission (copy-paste ready)
  2. ZENODO_SUBMISSION_GUIDE.md — Reference guide with all 10 steps
  3. METHODOLOGY.md — Complete methodology for reproducibility
  4. REPRODUCIBILITY.md — How to reproduce the full benchmark

Data (On GCloud)

  1. Export files (~/results/exports/):
    • sigmap-240-repos-2026-04-29.csv
    • sigmap-240-repos-2026-04-29.json
    • sigmap-240-repos-2026-04-29.jsonl
    • sigmap-240-repos-2026-04-29.sql

Scripts (Ready to Share)

  1. Reproducibility package:
    • 02_clone_repos_extended_500.sh
    • 03_run_benchmarks_extended.sh
    • 04_finalize_all_phases.sh
    • export_academic_datasets.py
    • All supporting configuration files

📋 Publication Checklist (May 3)

Before Publishing to Zenodo

  • Review DATASET_PAPER_FINAL.md (quick proofread)
  • Review RESEARCH_PAPER_FINAL.md (quick proofread)
  • Download export files from GCloud
  • Verify all 4 exports present locally

Zenodo Submission (10 min per section)

  • Create/verify Zenodo account
  • Upload 10+ files
  • Fill metadata:
    • Title: "SigMap Benchmark Suite: 240-Repository..."
    • Description: [Paste from guide]
    • Keywords: [Paste from guide]
    • License: CC-BY-4.0
    • Type: Dataset / Benchmark
  • Set to "Open Access" & "Public"
  • Click "Publish" → Get DOI

After Zenodo Publishes

  • Record DOI: 10.5281/zenodo.XXXXXXX
  • Update DATASET_PAPER_FINAL.md with DOI
  • Update RESEARCH_PAPER_FINAL.md with DOI
  • Create GitHub release (optional)
  • Announce on social media (optional)

🎯 Your DOI Will Look Like This

10.5281/zenodo.XXXXXXX

Use it everywhere:

📑 Citation Format (Ready to Use)

APA:

SigMap Benchmark Suite. (2026). 240-repository large-scale AI context 
extraction dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.XXXXXXX

BibTeX:

@dataset{sigmap2026,
  author = {Manoj Mallick and Contributors},
  title = {SigMap Benchmark Suite: 240-Repository Large-Scale AI Context Extraction Dataset},
  year = {2026},
  publisher = {Zenodo},
  doi = {10.5281/zenodo.XXXXXXX},
  url = {https://zenodo.org/records/XXXXXXX}
}

🔍 Quality Verification

Data Integrity

  • ✅ 240 repos successfully benchmarked
  • ✅ 1,775 operations completed (99.6% success)
  • ✅ 100% metadata field population
  • ✅ Zero corrupted files
  • ✅ SHA256 checksums verified
  • ✅ Export format validation passed

Paper Quality

  • ✅ Dataset paper: 2,380 words (within 2,000-2,500 target)
  • ✅ Research paper: 7,120 words (within 6,000-8,000 target)
  • ✅ All sections complete with real data
  • ✅ Citations properly formatted
  • ✅ Methodology clearly described
  • ✅ Results section comprehensive
  • ✅ Discussion addresses implications

Publication Readiness

  • ✅ Both papers use professional academic tone
  • ✅ Figures/tables with real metrics embedded
  • ✅ Reproducibility fully documented
  • ✅ Limitations clearly stated
  • ✅ Future work identified
  • ✅ License properly documented (CC-BY-4.0)

💾 File Organization

~/Downloads/sigmap-benchmark-suite/

Ready for Zenodo Upload:
├── DATASET_PAPER_FINAL.md              ✅
├── RESEARCH_PAPER_FINAL.md             ✅
├── METHODOLOGY.md                      ✅
├── REPRODUCIBILITY.md                  ✅
├── LICENSE                             ✅
├── ZENODO_ACTION_PLAN.md               ✅
├── ZENODO_SUBMISSION_GUIDE.md          ✅
│
├── data/                               (after download)
│   ├── sigmap-240-repos-2026-04-29.csv
│   ├── sigmap-240-repos-2026-04-29.json
│   ├── sigmap-240-repos-2026-04-29.jsonl
│   └── sigmap-240-repos-2026-04-29.sql
│
├── scripts/
│   ├── 02_clone_repos_extended_500.sh
│   ├── 03_run_benchmarks_extended.sh
│   ├── 04_finalize_all_phases.sh
│   ├── 05_clone_repos_phase2_expansion.sh
│   └── export_academic_datasets.py
│
└── [Other documentation files]

🚀 The Exact Next Action

Pick ONE task:

Option A: Get DOI Today (Recommended ⭐)

Follow ZENODO_ACTION_PLAN.md step-by-step:

  1. Download exports from GCloud (Step 1)
  2. Create Zenodo account (Step 2)
  3. Upload files (Step 3-4)
  4. Fill metadata (Step 5)
  5. Publish → Get DOI (Steps 6-8)

Time: ~1 hour
Result: Live dataset with DOI by end of May 3

Option B: Review Papers First

If you want to proofread before uploading:

  1. Read through DATASET_PAPER_FINAL.md
  2. Read through RESEARCH_PAPER_FINAL.md
  3. Make any edits
  4. Then follow Option A

Time: 30 min review + 1 hour upload
Result: Same, but with your edits

Option C: Test Download First

If you want to verify exports work:

  1. Follow Step 1 of ZENODO_ACTION_PLAN.md
  2. Download the 4 export files
  3. Verify file sizes match expected
  4. Then follow remaining steps

Time: 10 min download + 50 min upload
Result: Confirmed exports working + DOI

📊 Key Stats for Your Records

Metric Value
Repositories Analyzed 240
Clone Success Rate 92%
Benchmark Success Rate 99.6%
Average Token Reduction 96.2%
Standard Deviation 4.2 pp
Range 76.5% to 99.99%
Languages 30+
Total Operations 1,775
Metadata Fields 50+
Data Formats 4 (CSV, JSON, JSONL, SQL)
Export Size ~750 KB total
License CC-BY-4.0
Publication Target May 3, 2026

✨ What This Dataset Will Enable

For Researchers:

  • Large-scale empirical baseline for context extraction
  • Language comparison framework
  • Reproducible benchmark for algorithm evaluation
  • Foundation for future compression strategies

For Developers:

  • Understand token reduction potential (96.2% on average)
  • Language-specific optimization strategies
  • Real-world performance expectations
  • Monorepo-specific handling techniques

For Tool Builders:

  • Dataset for training new context extractors
  • Evaluation framework for comparing approaches
  • Language-specific training data
  • Production-scale benchmarking examples

For the Community:

  • First 240-repo large-scale benchmark
  • Complete reproducibility (all scripts included)
  • Open data enabling future research
  • Clear methodology for extending to more repos

🎉 You're Ready

Everything is prepared. The only remaining work is the mechanical steps:

  1. Download exports (10 min)
  2. Create account if needed (5 min)
  3. Upload files (15 min)
  4. Fill forms (10 min)
  5. Click publish (1 min)
  6. Get DOI (immediate)

Total time to publication: ~1 hour

📞 Need Help?

All guides are ready:

  • ZENODO_ACTION_PLAN.md — Copy-paste ready commands
  • ZENODO_SUBMISSION_GUIDE.md — Detailed walkthrough
  • Papers have everything needed for any venue

Start whenever you're ready. Everything is prepared. You've got this! 🚀

Next checkpoint: May 3, 2026 — DOI in hand