serhii.net

Margin notes - Overleaf, Online-LaTeX-Editor:

\marginpar{text} is the vanilla option, but this works in all cases ever:

\usepackage{marginnote}
\marginnote{text}

EXCEPT I couldn’t find a way to add footnote markers to have numbered margin notes separate from the real footnotes.

But this solves everything, quoting directly¹:

\newcounter{mgncount}
\renewcommand\themgncount{\arabic{mgncount} }
\newcommand\marginfootnote[1]{\refstepcounter{mgncount}\marginpar{{$^\themgncount$}#1}\footnotemark}

\begin{document}
Can we put a footnote with number in the margin and a number in the text?\marginfootnote{There's a number here!}

Another test\marginfootnote{Working!}

One more try\marginfootnote{Successful!}
\end{document}

EDIT: actually it doesn’t and uses the number from footnotes in the text itself. :(

Ah, the sidenotes package exists: https://ctan.math.utah.edu/ctan/tex-archive/macros/latex/contrib/sidenotes/sidenotes.pdf

But uses only 1…3-type numbers.

Yes this is it! CTAN: Paket sidenotesplus

%\usepackage{sidenotes}
\usepackage[mark=Alph]{sidenotesplus}
...

\sidenote{does basically what footnote does}

It has a lot of options and can do a lot of things, yes, this is it, it’s perfect. The example page has everything: https://ctan.math.illinois.edu/macros/latex/contrib/sidenotesplus/tests-sidenoteplus.pdf

See also CTAN: Marginal topic.

marginpar - Footnote and number in margin - TeX - LaTeX Stack Exchange

• Punctuation

  • all citations to word~/cite{xxx}.
  • all footnotes to sentence.\footnote{}¹
    • either full sentence or lowercase part
    • but within parentheses!
  • for both, it’s sent~\cite{}.\footnote{}
  • all numbers to 132,32.99
  • Consistent quoting (using the correct latex quotes or \enquote{} with italics for longer sentences.)
  • all refs to autorefs
    • Autoref fails with appendix subsections, do it manually.
  • tightlists everywhere
  • Overleaf ‘stop on first error’ to fix the errors
  • Title Case in all Titles

• Bits

  • CBT-UA -> UA-CBT
  • LMentry-static-UA shorten to LMES once and keep using LMES.
  • Eval-UA-tion should be captialized
  • Thesis always capitalized
  • gpt2/GPT2 -> GPT-2.
  • check for stray ‘we’s in the paper
    • “our”/“we” “paper”
  • look for sticking out over-the-line bits
  • Python is capitalized
  • all Grammarly suggestions

• Not bits

  • go through all latex comments
  • go through all latex warnings
  • go through all todos in home.md + taskwarrior

====== Open research questions:

• Research
  • look into whether translated datasets are worse at stuff
  • monolingual VS multilingual models incl Ukrainian performance
  • Whether prompt language makes a differenec on Ukrainian task
• Datasets:

SH, [10 Apr 2024 14:58:39] LMES — дослідити robustness моделей, і наприклад глянути яка залежність accuracy людей і ШІ в залежності від мммм різниці в довжині слів чи номеру слова (“яке стотринадцяте слово в реченні …”) CBT-UA — нормально evaluate, а ще для людей і машин — глянути scores якщо давати тільки challenge segment. Я це тестив з нейромережами (не попало в paper), але там дуже часто були кращі результати з фрагментом ніж з усією казкою

SH, [10 Apr 2024 14:59:57] Зробити датасет по biases і фемінітивам, у мене написаний код для генерації нульової версії, там по суті речення типу “моя жінка займається програмуванням компʼютерних систем, тобто за професією вона — ….”

SH, [10 Apr 2024 15:00:20] Мрія всього життя таки зробити Russian-Ukrainian interference dataset на предмет русизмів та російських помилок

SH, [10 Apr 2024 15:02:57] UA-CBT — взяти казки з project Gutenberg, взяти іноземні казки перекладені українською, і порівняти scores моделей на тасках по казкам з цих різних джерел. Можна забити на фільтрацію, чисто зробити human baseline на частині згенерованого датасету. Так можна зробити нереально великий датасет і знати що там максимум умовнио 80% бо 20% тасків сміття

Also:

• CATSMC and friends — much larger datasets can be generated from the given data, a lot of combinations are possible.

\autoref is like \ref but it adds the word, not just the number. 3.2 -> Figure 3.2 : cross referencing - What’s the difference between \ref and \autoref? - TeX - LaTeX Stack Exchange

j

Wrapping stuff in this command makes it stand out; also greppable by TODO which removes the need to remember commands

\newcommand{\TODO}[1]{{\color{magenta}#1}}

Previously:

• 240218-2049 Huggingface dataset build configs

Is there a suggested way of debugging dataset generators? - 🤗Datasets - Hugging Face Forums

Instead of committing etc. every time, one can clone the dataset path locally through git and then point load_dataset() to that local folder with the dataset script file!

Random nugget from Document to compress data files before uploading · Issue #5687 · huggingface/datasets:

• gz, to compress individual files
• zip, to compress and archive multiple files; zip is preferred rather than tar because it supports streaming out of the box

(Streaming: https://huggingface.co/docs/datasets/v2.4.0/en/stream TL;DR don’t download the entire dataset for very large datasets, add stream=true to the load_dataset() fn)

Til from NASA’s (!) docs¹ that there are two sub-levels after subsubsection:

\subsubsection{Example Sub-Sub-Section}
\label{sec:example-subsubsection}

\ref{sec:example-subsubsection} is an example of \texttt{subsubsection}.

\paragraph{Example Paragraph}
\label{sec:example-paragraph}

\ref{sec:example-paragraph} is an example of \texttt{paragraph}.

\subparagraph{Example Sub-Paragraph}
\label{sec:example-subparagraph}

\ref{sec:example-subparagraph} is an example of \texttt{subparagraph}.

I so needed them!

Got bit by this.

random — Generate pseudo-random numbers — Python 3.12.2 documentation

• SAMPLE() (random.sample()) IS WITHOUT REPLACEMENT: no duplicates unless present in list (random.shuffle())
• CHOICES() (random.choices()) IS WITH REPLACEMENT: duplicates MAY happen.

Also:

• random.shuffle() works in-place. Sampling len(x) is a way to shuffle immutable lists.

jq: JSONL ↔︎ JSON conversion:

jq -s '.' input.jsonl > output.json
jq -c '.[]' input.json > output.jsonl