accepted_status listlengths 2 6 | candidate_answers listlengths 2 6 | ground_truth stringclasses 1
value | product stringclasses 1
value | question stringlengths 249 6.52k | record_id stringlengths 38 40 | scores listlengths 2 6 | split stringclasses 1
value | thread dict |
|---|---|---|---|---|---|---|---|---|
[
true,
false
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{
"answer_html": "<p>The scale parameter is routinely analysed in survival models, because the scale parameter is a location parameter for <span class=\"math-container\">$\\log T$</span>. Accelerated-failure models are of the form\n<span class=\"math-container\">$$\\log T_i=x_t\\beta+\\log T_{0i}$$</span>\nwhe... | community signals only; no scientific truth label | ranking | Here is a Weibull proportional hazards model:
$$h(t \mid \mathbf{x}) = h_0(t)\,\exp(\boldsymbol{\beta}^\top \mathbf{x}) = \gamma \lambda\, t^{\gamma - 1} \exp(\boldsymbol{\beta}^\top \mathbf{x})$$
Is statistical inference ever performed on the shape and scale parameters ($\gamma, \lambda $)? For example, do res... | Scientific-Answer-Ranking:stats:676855 | [
8,
4
] | train | {
"accepted_answer_id": 676856,
"answers": [
{
"answer_html": "<p>The scale parameter is routinely analysed in survival models, because the scale parameter is a location parameter for <span class=\"math-container\">$\\log T$</span>. Accelerated-failure models are of the form\n<span class=\"math-container... |
[
false,
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false
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{
"answer_html": "<blockquote>\n<p>but that control has already been shown to have reduced growth compared to another genotype where that process is disrupted</p>\n</blockquote>\n<p>A control can have a different baseline than the treated group. But you need to move from t-tests to regressions, eg ANCOVA. A com... | community signals only; no scientific truth label | ranking | I'm contributing to a paper where I am a fairly minor author. I'm concerned by the experimental design but the corresponding authors, who have decade(s) more experience in the field than I have, seem unconcerned and there's the implication that I'm being unnecessarily picky. I'm 95% sure I'm correct, but given their at... | Scientific-Answer-Ranking:stats:676922 | [
0,
3,
3
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"accepted_answer_id": null,
"answers": [
{
"answer_html": "<blockquote>\n<p>but that control has already been shown to have reduced growth compared to another genotype where that process is disrupted</p>\n</blockquote>\n<p>A control can have a different baseline than the treated group. But you need to m... |
[
false,
false,
false
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{
"answer_html": "<p>It is important here to not think about effects in a binary manner (as if the statistical message were just that an effect is "significant" vs. "not significant"; in particular, "not significant" doesn't mean that an effect doesn't really exist, it just means t... | community signals only; no scientific truth label | ranking | I am new into statistics so asking a lot of questions (je suis vraiment desoléé).
I fitted a linear mixed-effects model for repeated measurements with treatment, year, baseline value, and treatment × year as fixed effects. The treatment × year interaction was significant (F(8, 481.31) = 2.14, p = 0.031), while the trea... | Scientific-Answer-Ranking:stats:676999 | [
5,
5,
1
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"accepted_answer_id": null,
"answers": [
{
"answer_html": "<p>It is important here to not think about effects in a binary manner (as if the statistical message were just that an effect is "significant" vs. "not significant"; in particular, "not significant" doesn't mean tha... |
[
false,
false
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{
"answer_html": "<p>The regression coefficients for variables not in the interaction are main effects, conditional on all the other variables, including the interaction.</p>\n<p>I don't know of a book that states this, but you can either a) Do the math and show it or b) Plug in different values of X, Z, C1, an... | community signals only; no scientific truth label | ranking | Logistic regression:
glm(Y ~ X * Z + C1 + C2, family = binomial)
I know β_X and β_Z are conditional (effect when the other is 0) and shouldn't be read as main effects.
Does this also apply to C1, which isn't in the interaction? Or is exp(β_C1) still the ordinary adjusted OR, with the p value testing the or... | Scientific-Answer-Ranking:stats:677023 | [
0,
5
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"accepted_answer_id": null,
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{
"answer_html": "<p>The regression coefficients for variables not in the interaction are main effects, conditional on all the other variables, including the interaction.</p>\n<p>I don't know of a book that states this, but you can either a) Do the math and show ... |
[
false,
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] | [{"answer_html":"<p>Welcome to CV. It's not clear why you think there is multicollinearity. That is (...TRUNCATED) | community signals only; no scientific truth label | ranking | "I am doing a project to understand the predictive viability of different regressors on the dependen(...TRUNCATED) | Scientific-Answer-Ranking:stats:677033 | [
3,
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] | train | {"accepted_answer_id":null,"answers":[{"answer_html":"<p>Welcome to CV. It's not clear why you think(...TRUNCATED) |
[
true,
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] | [{"answer_html":"<p>If you have three items <span class=\"math-container\">$Y_1,Y_2, Y_3$</span> wit(...TRUNCATED) | community signals only; no scientific truth label | ranking | "I'm trying to get my head around how a negative result from Cronbach's alpha is even mathematically(...TRUNCATED) | Scientific-Answer-Ranking:stats:677066 | [
11,
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] | train | {"accepted_answer_id":677067,"answers":[{"answer_html":"<p>If you have three items <span class=\"mat(...TRUNCATED) |
[
false,
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true,
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] | [{"answer_html":"<p>I think that my colleague was right. However, even <a href=\"https://doi.org/10.(...TRUNCATED) | community signals only; no scientific truth label | ranking | "Suppose that $X_1$ and $X_2$ are real-valued random variables and $X_i\\sim F_i$, i.e., $F_i$ is th(...TRUNCATED) | Scientific-Answer-Ranking:stats:677071 | [
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3,
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] | train | {"accepted_answer_id":677074,"answers":[{"answer_html":"<p>I think that my colleague was right. Howe(...TRUNCATED) |
[
false,
false,
false,
false,
false,
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] | [{"answer_html":"<p>Everything is dependent on your second C. Even random things like rolling dice ((...TRUNCATED) | community signals only; no scientific truth label | ranking | "I'm trying to come up with relatable examples to teach the concept of independence/orthogonality of(...TRUNCATED) | Scientific-Answer-Ranking:stats:677110 | [
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12,
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[
false,
true,
false
] | [{"answer_html":"<p>Can you provide a <a href=\"https://reprex.tidyverse.org/\" rel=\"nofollow noref(...TRUNCATED) | community signals only; no scientific truth label | ranking | "I ran wilcox.test(df$PostScore, df$PreScore, conf.int = TRUE, paired=TRUE, exact = TRUE) on the fol(...TRUNCATED) | Scientific-Answer-Ranking:stats:677135 | [
5,
16,
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] | train | {"accepted_answer_id":677139,"answers":[{"answer_html":"<p>Can you provide a <a href=\"https://repre(...TRUNCATED) |
[
false,
false
] | [{"answer_html":"<p>B-splines are designed to be local* (only nearby x-values affect the relevant pr(...TRUNCATED) | community signals only; no scientific truth label | ranking | "I've been studying how splines::bs() builds its basis matrix, and I'm trying to fully understand wh(...TRUNCATED) | Scientific-Answer-Ranking:stats:677137 | [
10,
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RegalFire Scientific multi-answer ranking
RegalFire — AI Data Foundry
Every record has at least two candidate answers. Community votes and accepted status are signals, not scientific truth.
Verified scope
Records: 73; distinct source threads: 73; unique answers represented: 186. Domain thread counts: {"statistics": 27, "computational_science": 25, "biology": 21}. Actual record splits: {"train": 47, "validation": 7, "holdout": 12, "test": 7}.
Each record includes a canonical thread, all source answers, author attribution, original HTML, mechanically converted text, revisions and raw hash/API provenance. record_id is the primary key; thread_id is site-qualified, while original numeric question/answer IDs are retained. Citation record counts count edges; answer/thread totals are deduplicated within the product.
Sources and licensing
Official Stack Exchange API 2.3 source snapshots from Cross Validated (stats), Computational Science (scicomp) and Biology (biology), as applicable to the recorded domain distribution. Native new capture windows used the 100 most recently created answered questions for Stats and Scicomp. Biology reuses a deterministic 100-thread sample from the previously validated local capture; the original public Biology repo is unchanged. After source and additional cross-post sensitivity exclusions, the family source corpus contains 288 threads.
All retained current question and answer contributions explicitly returned CC BY-SA 4.0. This is verified per post, not assumed for historical posts. Bionic raw contained 2.5/3.0 contributions but lacked sufficient independently captured provenance/revisions; those inputs are excluded. Historical revision license fields, when supplied, are retained. See SOURCE_LICENSE_AUDIT.json and official source licensing.
Keep question titles, Biology/Computational Science/Cross Validated source identity, contributor names and available profile links, original post URLs, license links and transformation notices when redistributing. Each thread includes revision contributors and their source identifiers. Null profiles mean unavailable/deleted information; no profile is invented. Share adaptations under the applicable same or compatible license and impose no additional restrictions. Packaging does not replace source ownership or licensing. Third-party quotations and referenced images/papers may have separate rights; external assets are not downloaded or repackaged.
Deterministic product rules
QA chooses an accepted answer when present, otherwise maximum community score >=1 with lowest answer ID as tie breaker. accepted_answer remains null for a score-based fallback. Ranking requires at least two answers. RAG signals describe counts, acceptance, scores, references and time spans: they are not semantic disagreement annotations, verified difficulty or correct-answer labels. Code selection uses preformatted blocks of at least 20 characters with a documented code-syntax screen. Language is explicitly unspecified; snippets may be incomplete/pseudocode and are not executed. Citation extraction uses literal external URLs/DOI-like strings; context is a literal ±100-character text window or null when only HTML contains the reference. No DOI resolution, paper download or citation correctness claim.
Transformations and privacy
No LLM rewriting. Original API HTML remains intact. Text mechanically decodes HTML entities, preserves source text, code whitespace and TeX strings, adds literal link destinations and image-reference markers, and flattens superscript/subscript formatting. Code blocks retain exact decoded preformatted contents with SHA-256. Treat HTML/links/code as untrusted; sanitize rendered HTML and never execute snippets without a sandbox.
Patient-specific/personal medical histories, direct treatment requests and email-like identifiers are screened across both questions and answers and excluded by an English heuristic. General scientific medical discussions can remain with sensitivity flags. This is not comprehensive PII detection or clinical review. No medical advice. Rejections contain IDs/URLs/reasons without the excluded bodies. SENSITIVITY_REPORT.json describes the family screen.
Splits and overlap
One shared source-thread grouping is used by all five family products: normalized title/body/exact answer hashes and exhaustive question word-trigram Jaccard >=0.80 unite obvious duplicates. SHA-256 buckets assign 70/10/10/10 train/validation/test/holdout; observed proportions vary. Every occurrence of a thread has the same split across products. Products overlap intentionally; do not add their volumes as unique source content or concatenate one product’s held-out records into another’s training. These are publicly available forum posts: holdout is not a contamination-resistant private benchmark and lexical checks do not guarantee absence of semantic paraphrases.
Validation and reproducibility
Independent source verifiers check schema, UTF-8, author/revision attribution, actual license fields, HTTP/raw hashes, HTML/text preservation, unique IDs, complete answers and accepted consistency. A separate product engine checks eligibility, code/citation extraction, source equality, duplicates, exact split files and leakage. Five product-specific validator entry points use this engine; no builder is imported. The family passed 15 controlled corruption tests and byte-identical regeneration. validation_report.json records this product’s results; ROBUSTNESS_REPORT.json records family tests.
Run python validate_dataset.py --source-root <scientific_product_factory> with the local capture archive and source pipelines. Full raw/source validation requires that archive. Public release files omit raw bodies containing excluded data; SOURCE_MANIFEST.json records their hashes, API URLs and collection times. Fresh API collection can differ from the original snapshot. MANIFEST.json hashes every release file except itself.
Intended use and limitations
Retrieval/reranking teams and scientific assistant evaluators. No expert scientific correctness labels, model accuracy claims, validated code execution, clinical review or resolved-citation guarantees. Community votes are not scientific truth. This is a bounded starter evaluation corpus; expansion depends on source completeness, licensing and available API quota. Statistical QA/code subsets are small and recent; do not treat them as representative of a whole research discipline.
Custom / Private Dataset Work
RegalFire builds custom AI datasets, evaluation sets and reproducible data pipelines for research and production systems.
Private candidate pools, expert relevance labels, answer-ranking schemas and custom source-group holdout evaluations.
Contact: ootiris@gmail.com Hugging Face: RegalFire
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