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Co-authored-by: Yagiz Ihlamur <ihlamury@users.noreply.huggingface.co>

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  1. .gitattributes +61 -0
  2. README.md +45 -0
  3. phbench_public_test.csv +0 -0
  4. phbench_public_train.csv +3 -0
  5. phbench_public_validation.csv +0 -0
  6. phbench_sample_submission.csv +6 -0
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README.md ADDED
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+ Content:
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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - tabular-classification
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+ language:
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+ - en
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+ tags:
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+ - venture-capital
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+ - product-hunt
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+ - benchmark
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+ - startup-prediction
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # PHBench
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+
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+ PHBench maps 67,292 featured Product Hunt posts to 528 verified Series A outcomes within 18 months of launch (2019-2025).
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+
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+ ## Dataset Description
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+
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+ - **Paper:** https://arxiv.org/abs/2505.XXXXX
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+ - **Website:** https://phbench.com
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+ - **GitHub:** https://github.com/ihlamury/vc-market
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+ - **License:** CC BY 4.0
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+
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+ ## Dataset Structure
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+
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+ | Split | Posts | Positives | Positive Rate |
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+ |-------|-------|-----------|---------------|
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+ | Train | 47,071 | 372 | 0.79% |
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+ | Validation | 6,753 | 53 | 0.78% |
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+ | Test | 13,468 | 103* | 0.76% |
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+
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+ *Test labels withheld. Submit predictions to benchmark@vela.partners for scoring.
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+
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+ ## Features
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+
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+ 61 engineered features per post including engagement signals (votes, comments, reviews), rank signals (daily, weekly, monthly rank), maker features (count, followers), temporal features, topic flags, and
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+ interaction terms.
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+
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+ ## Citation
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+
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+ If you use PHBench please cite: Ihlamur et al. PHBench: A Benchmark for Predicting Startup Series A Funding from Product Hunt Launch Signals. arXiv 2026.
phbench_public_test.csv ADDED
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phbench_sample_submission.csv ADDED
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