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RegalFire V3: independently validated source-derived release
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---
license: cc-by-sa-4.0
language:
- en
tags:
- regalfire
- evaluation
- reproducible
configs:
- config_name: default
data_files:
- split: train
path: train.jsonl
- split: validation
path: validation.jsonl
- split: test
path: test.jsonl
- split: holdout
path: holdout.jsonl
---
# Scientific-Code-Troubleshooting
RegalFire — AI Data Foundry · Omar Soliman · ootiris@gmail.com
## Problem
Real scientific troubleshooting with literal code and attributed community answers. **50 records** in this source-derived release. Do not sum it with its public ancestors as unique examples.
## Sources and provenance
SOURCE_LOCK.json pins approved releases and file hashes. Per-record source IDs and hashes link to source rows. Selected normalized native scientific-computing sources accompany the affected products in native_scicomp_source.jsonl; raw API scrape files are not included. Source URLs, author attribution and revision contributors are retained. Unverified Bionic inputs are excluded.
## Schema and extraction
See schema.json for required fields/types. Nested source content and labels are independently validated. Question troubleshooting lexeme plus literal pre block. Language/tools require explicit mentions; missing error/method fields are null. No invented root causes, fixes or error messages.
## What labels mean
Community answers, acceptance and scores are not scientific truth or executable success labels.
## Validation and reproduction
Install Python 3.10+ dependencies: `pip install jsonschema huggingface_hub`. Run in the repository directory: `python validator/validate.py .` Pinned public ancestors require network or a populated HF cache; credentials are unnecessary. The validator does not import the builder. Source computational checkers were implemented independently from source generators. See validation_report.json, robustness_report.json and QA_REPORT.md.
## Splits and leakage
{"holdout": 5, "test": 6, "train": 36, "validation": 3}. Scientific threads, normalized shared text/code and near questions (5-shingle Jaccard >=0.85) are globally grouped across the two scientific-derived products. Synthetic task families are kept in one split, with repeated source grid groups united. Source master seeds identify an entire generation run, not independent per-task seeds. These are template-held-out splits, not fresh-generation-seed experiments. Uneven splits are intentional. Public holdout labels are visible and are not secret or contamination-free. Exhaustive semantic near-duplicate detection is not claimed.
## Intended uses and limitations
Research, regression and scoped private adaptation. No measured model performance, clients, ROI or clinical claims. Scientific code is not executed; community answers are not expert labels. Clinical flags and email-like content are excluded heuristically, not certified absent. Agent errors are controlled harness operations, not real-agent logs; counterfactual recovery is prediction correction, not physical intervention. Validation checks the specified contracts, not universal scientific correctness.
## License
cc-by-sa-4.0. Preserve attribution, revision contributors and source notices. Scientific content remains CC BY-SA 4.0; MIT synthetic rows retain MIT notices. See THIRD_PARTY_LICENSES.md. No private exclusivity is promised for public source adaptations.
## Custom / Private Dataset Work
RegalFire builds custom AI datasets, evaluation sets and reproducible data pipelines for research and production systems.
Available:
- custom schemas
- private sources
- private holdout sets
- custom validators
- domain-specific hard cases
- continuous generation
- regression datasets
Contact: ootiris@gmail.com
Hugging Face: RegalFire
Public license obligations remain applicable. Confidential private work requires client-owned or otherwise permitted sources.
## Volume limitation
Approved inputs yield 50 explicit troubleshooting threads, below the requested 500. This is a bounded seed release without invented or repeated filler. Expansion requires further verified licensed raw input.