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Hariprasad Sundaresan PRO

Hari5115
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AI & ML interests

LLMs, Fine-tuning, Agentic AI, RAG, Multilingual NLP, Transformers

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reacted to Abhisek987's post with 👍 2 days ago
New dataset: 24,922 real Python dependency compatibility experiments🧪 Every experiment installed a pair of Python packages into a fresh environment and tested three stages: resolution → import → runtime smoke test. The finding that motivated this: resolvers only read published metadata. In this data, ~3,000 environments resolved successfully and still failed at import or smoke-test time. That gap is invisible to pip and uv, and this dataset makes it measurable. What's inside: - 21,490 development + 3,432 sealed validation experiments - 41 unique packages, Python 3.8–3.14, Linux x86_64 - The 6 validation packages (boto3, botocore, s3transfer, celery, kombu, billiard) never appear in training — validation measures generalization to entirely unseen packages - Full per-stage logs: exact commands, exit codes, stdout/stderr - Normalized error text + Python exception types for every failure - Wheel metadata with Python/ABI/platform tag compatibility decisions - PEP 751 lockfile hashes - 142 engineered features per experiment, ready for training Outcome labels: pass, resolution_failure, import_failure, smoke_test_failure. I used it to train two models for DepLab (a structured model + a fine-tuned ModernBERT on release notes). On the sealed validation set (entirely unseen packages) the structured model reached 90.0% accuracy and 100% precision when predicting failures. CC BY 4.0. Load it directly: ```python from datasets import load_dataset ds = load_dataset("Abhisek987/deplab-dependency-compatibility", "experiments") ``` Dataset: https://huggingface.co/datasets/Abhisek987/deplab-dependency-compatibility Zenodo DOI: https://doi.org/10.5281/zenodo.21729353 Code: https://github.com/Abhisek12378/DepLab If you're working on ML for developer tools or software engineering research, I'd love to hear what you build with it.
liked a dataset 2 days ago
Abhisek987/deplab-dependency-compatibility
posted an update 2 days ago
Fun fact: Some seriously weird planets exist out there. - There's one where a whole year lasts just a few hours. - One that's darker than coal - And one so light it could float in water. I got a bit obsessed, extracted all the planets found outside our solar system into one dataset around 6,000 roughly. Have a play: https://huggingface.co/datasets/Hari5115/nasa-exoplanet , The fun part is finding the weird ones. Spot a strange one, Tell me. #space #exoplanets #dataset #astronomy #opendata #wierdplanets #fundataset
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