result-table

Solid

Use when turning measured results into a table or figure for the paper — building a LaTeX or markdown results table from workspace/results/*.json, deciding what uncertainty to report, choosing which baselines and ablations belong in the main table, or writing a caption that stands alone.

AI & Automation 804 stars 25 forks Updated today NOASSERTION

Install

View on GitHub

Quality Score: 82/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Results tables By Stage 06 the run has machine-readable results under `workspace/results/` and an `experiment_manifest.json` indexing them with schema metadata. The table in the paper must be derived from those files, not retyped. A number that appears in the manuscript and nowhere in `workspace/results/` is unsupported, and it is the single easiest thing for a reviewer to catch. ## Build the table from the artifacts 1. Read `workspace/results/experiment_manifest.json` for the result artifacts and their schemas. 2. Generate the table with a script written to `workspace/code/`, not by hand. A regenerable table survives a Stage 06 rerun; a hand-typed one silently goes stale the moment a result changes. 3. Write the generated table to a file the manuscript inputs (`workspace/writing/tables.tex`, or an inline markdown table in the report), so the paper and the artifact cannot drift. ## What goes in the main table The main table answers the paper's one claim. Everything else goes to the appendix. - **Rows**: the methods being compared, with the proposed method last so the eye lands on it after the baselines. - **Columns**: the metrics the claim is about. Adding metrics the claim does not concern dilutes it and invites reviewers to find a column where you lose. - **Baselines**: the strongest available, not the most convenient. A table whose baselines are weak reads as a weak result regardless of the margin. - **Ablations**: in the main table only if the...

Details

Author
tangxiangru
Repository
tangxiangru/AutoR
Created
5 months ago
Last Updated
today
Language
Python
License
NOASSERTION

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Featured

analyze-results

Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.

14,964 Updated today
wanshuiyin
AI & Automation Listed

aer-tables-figures

Use when constructing or revising regression tables, descriptive statistics tables, or figures after results are estimated and before submission for an AER, AER:Insights, or AEJ manuscript. Implements AER booktabs house style, regression-table layout, and figure-note conventions.

43 Updated 1 months ago
brycewang-stanford
AI & Automation Solid

latex-empirical-tables

Set up, format, fix, and clean up LaTeX regression and estimation tables in empirical economics or finance papers. Use when (a) creating a .tex, results.tex, main.tex, or preamble to display regression or estimation output from Python (pyfixest), Stata, or R — including any mention of estout, esttab, estauto, estwide, or table fragments; (b) formatting or repairing estout-style regression tables that overflow the right margin, have cramped or boxed notes, misaligned columns, or poor significance stars, or when asked to match a reference paper, make the note fill the table width, or choose among \estwide, \estauto, and landscape layouts; (c) diagnosing "Misplaced \omit" errors from \input-ed table fragments inside tabular environments. Covers \@@input, \estwide, \estauto, \estautoLT, \specialcell, \sym, minipage notes below tabulars, and the convert-and-verify workflow. Do NOT trigger for general LaTeX documents like beamer presentations, problem sets, letters, or CVs.

47 Updated 4 weeks ago
kennethkhoocy