personal statement template latex

Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers
Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand
OverflowAI GenAI features for Teams
OverflowAPI Train & fine-tune LLMs
Labs The future of collective knowledge sharing
About the company Visit the blog

Collectives™ on Stack Overflow

Find centralized, trusted content and collaborate around the technologies you use most.

Q&A for work

Connect and share knowledge within a single location that is structured and easy to search.

Get early access and see previews of new features.

latex template or example for personal statement

I am writing a personal statement in latex. I don't want the big margin at the top of the page not big title taking a lot of space. I just like to make the layout compact but still clearly spaced with title, name and other necessary information, since there may be restriction on the number of pages. One example would be http://www.hsc.unt.edu/education/CIM/Documents/PS-Sample2_000.pdf . I wonder where to find some good latex templates or examples?

Thanks and regards!

page-layout

Not quite a programming question, but some might argue. – Dmitri Nesteruk Commented Dec 27, 2009 at 19:31
So far all latex questions have been accepted here ... – Rook Commented Dec 27, 2009 at 22:15
Meta on whether latex belongs or not: meta.stackexchange.com/questions/7135/… and meta.stackexchange.com/questions/12918/… – dmckee --- ex-moderator kitten Commented Dec 28, 2009 at 1:48
The thing about the default margins in LaTeX, is that there were set with the best available usability data in mind. Generally, making you text wider will hurt the readability of your document. That makes less difference in a short blurb, but is worth keeping in mind (and yes, that means that the defaults for most word processors are erroneously wide...). To use more of the page, go to multiple columns. – dmckee --- ex-moderator kitten Commented Dec 28, 2009 at 1:52
@dmckee: "available usability data" I don't think was in Lamport's vocabulary when he wrote latex. Mantra: latex is not a typesetting system, it is a document preparation system and that is good. The right choice of margin size gives us lots of space for scribbling margin comments, etc. Take a look at llncs.cls, to see what a journal thinks is good layout. – Charles Stewart Commented Dec 28, 2009 at 9:28

3 Answers 3

I would use the geometry package to establish the desired margins. To get the margins in your sample document, try:

Your next requirement was to fix the title block. LaTeX uses the internal command \@maketitle to format the title block. You can redefine this as you like. To achieve the same title block style as in the sample document, use:

The \@title , \@author , and \@date commands will print the title, author, and date. You can use whatever formatting commands you like to set the text in bold, different colors, etc.

Put all of the above commands in the preamble of the document. The preamble is the space between \documentclass and \begin{document} .

Note that if you want to reduce margins, you may also want to reduce other tex/latex dimensions, most often the inter-paragraph space ( \parskip ), but possible also the dimensions governing layout of list environments, interline space (don't reduce this by much!), &c – Charles Stewart Commented Dec 31, 2009 at 8:59
That's true.. if you want the paragraphs to have no blank space between them, add \setlength{\parskip}{0pt} to your document after the \maketitle command. Also, you'll want to increase the indentation of the paragraph (since the lines are longer, the indentation needs to be more prominent). The command \setlength{\parindent}{2.5em} will do this. – godbyk Commented Jan 1, 2010 at 18:59

Attempt #1: I've used the following style file, which I call cramp2e, for similar purposes. It is probably not right for you, but have a look:

Postscript This is for A4 size paper.

A slightly less LaTeX-ey solution would be to not use the \maketitle command. A couple of times I've simply used this as my title(marginsize helps too).

Set up smaller margins:

(EDIT: 1cm might be even better..) Minimal title:

Your Answer

Reminder: Answers generated by artificial intelligence tools are not allowed on Stack Overflow. Learn more

Sign up or log in

Post as a guest.

Required, but never shown

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy .

Not the answer you're looking for? Browse other questions tagged latex page-layout or ask your own question .

Featured on Meta
Announcing a change to the data-dump process
We've made changes to our Terms of Service & Privacy Policy - July 2024

Hot Network Questions

Hypothesis and Scientific Method
An infinite hat puzzle variation—if we don't know our place, can we still be almost all correct?
Can I restrict which users can `sendmail` from an address with Postfix?
JSON Web Encryption (JWE) vs HTTPS? or Both
How to make an operator form of Part[] to use with // (Postfix)
UK citizen travel document to enter Ireland by air
Between two variables with weak correlations and no significant prediction rate from simple regression, what are the next research steps?
Do I have legal grounds against a book by an ex which depicts private details of my life, including some false events, without permission?
When do the Mythbusters appear in the Phineas and Ferb Star Wars special?
Python Regex to match the FIRST repetition of a digit
Eisenstein's last theorem
Any idea what game this picture is from?
How to reinstall a ceiling fan that fell out of ceiling?
How is the name "Took" pronounced?
Drawing perfect square in QGIS
Research Faculty with no salary
What is the color of the final disc(s)?
Did the BBC ask for extra line spacing?
Handmade number sequence puzzle - but I broke it!
Is the coulomb unit a constant or does it depend on the wire
How do I cash in Physical Bitcoins?
Does a simple and intuitive theory have better chances of being true?
What is the translation of "nosebleed section" in French?
Why is "hidden dependency" (required things not in parameter list directly) a disadvantage of "global variables", but not in "preserve whole object"?

EasyPS - Personal Statement Framework

EasyPS is a simple and easy-to-use personal statement LaTeX framework. This solves the problem of messy and duplicated TeX files when writing personal statements for multiple universities. For more information, go to: https://github.com/salfaris/EasyPS.

Get in touch

Have you checked our knowledge base ?

Message sent! Our team will review it and reply by email.

Email:

Stack Exchange Network

Stack Exchange network consists of 183 Q&A communities including Stack Overflow , the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Q&A for work

Connect and share knowledge within a single location that is structured and easy to search.

LaTeX Template for Graduate School Essays

I'm looking for a professional LaTeX template for either a statement or purpose/personal statement/statement of intent/etc. for a general graduate application. Most of the ones I have seen thus far have been relatively plain, and while I don't need a template that is horribly visually abrasive, one with a bit more style wouldn't be bad. Are there any good repositories for essays of this nature or does anybody from the community have a particularly well-crafted template of this type?

7 As the director of a graduate program I can say that the format of your personal/academic statement is unlikely to have much influence on the admissions process. Focus on the content and why the program you're applying to is a good fit for your research interests, and make sure the prose is error free. Many universities have online applications so your statement may end up being plain unformatted text when it's read. – Alan Munn Commented Oct 19, 2011 at 22:22

Had a similar issue myself when looking for CV templates. I came across this site, which was quite helpful and the .tex files are easily modifiable as most of the examples at the bottom of the page are using the letter class.

http://www.maths.ox.ac.uk/help/faqs/latex/letters

1 This link is returning a 404 now, but I've located what I think might be a similar page at the same site: maths.ox.ac.uk/members/it/faqs/latex/letters – Jonathan E. Landrum Commented May 30, 2018 at 14:40

You must log in to answer this question.

Not the answer you're looking for browse other questions tagged templates ..

Featured on Meta
We've made changes to our Terms of Service & Privacy Policy - July 2024
Announcing a change to the data-dump process
Upcoming initiatives on Stack Overflow and across the Stack Exchange network...

Hot Network Questions

Represent and evaluate an infinite expression
Did the BBC ask for extra line spacing?
What is the History of the books Derech HaChaim and Netiv HaChaim?
Strange issue with Friedman pairwise post-hoc evaluation vs Wilcoxon test
Entire grant budget is just 1 person's salary
How do Trinitarians distinguish whether the Hebrew bible is referring to the "being" or "person[s]" of God in the verses that declare oneness?
UK citizen travel document to enter Ireland by air
BIO 2021 Q3a: Window Dressing (BFS in C++)
Jurisdiction: Can police officers open mail addressed to a stranger?
Does the throttling profile data for any STS missions exist?
How do Trinitarians distinguish which person the Bible is referring to throughout the scriptures when the three titles of the Godhead is not used?
When do the Mythbusters appear in the Phineas and Ferb Star Wars special?
where to specify progamId on client side to interact with a progam if at all
Does a simple and intuitive theory have better chances of being true?
Efficient way to remove nailed-down plywood flooring in attic without damaging it?
PCB Footprint Design of a Coin Cell Holder
Does GDPR's "Legitimate Interest" allow spam?
Good publisher versus self publishing
Any idea what game this picture is from?
Why are quadratic residues more interesting than cubic residues?
Are there non-religious variants of moral realism that defend the existence of objectively evil thoughts, intentions, and desires?
When non-resident US citizens vote, which state does their vote count for wrt the electoral college?
DC motor pump always transports in same direction, regardless of polarity
Are there any examples of moving Manses?

$personal statement template latex$

We love good questions

LaTeX.org on Twitter - follow us

Unanswered topics
Active topics
Impressum and Privacy Policy
About LaTeX
Board index LaTeX Page Layout

LaTeX forum ⇒ Page Layout ⇒ latex template or example for personal statement

Latex template or example for personal statement.

Post by lehe » Sun Dec 27, 2009 9:40 pm

Re: latex template or example for personal statement

Post by josephwright » Sun Dec 27, 2009 10:20 pm

Return to “Page Layout”

Text Formatting
Graphics, Figures & Tables
Math & Science
Fonts & Character Sets
Page Layout
Document Classes
General
LaTeX's Friends
BibTeX, biblatex and biber
MakeIndex, Nomenclature, Glossaries and Acronyms
Conversion Tools
Viewers for PDF, PS, and DVI
XeTeX
Others
LaTeX Distributions
Decision Guidance
MiKTeX and proTeXt
TeX Live and MacTeX
LaTeX Editors
AUCTeX
Kile
LEd
LyX
Scientific Word/Workplace
Texmaker and TeXstudio
TeXnicCenter
Announcements
General
Templates, Wizards & Tools
Feature Suggestions
Development
TeXShop
TeXworks
WinEdt
WinShell
LaTeX Templates
Articles, Essays, and Journal Templates
Theses, Books, Title pages
Letters
Presentations and Posters
Curricula Vitae / Résumés
Assignments, Laboratory books and reports
Calendars and Miscellaneous
LaTeX Community
Announcements
Community talk
Comments & Wishes
New Members
LaTeX Books
LaTeX Beginner's Guide

Who is online

Users browsing this forum: No registered users and 1 guest

Recommended reading 2024: LaTeXguide.org • LaTeX-Cookbook.net • TikZ.org
News and Articles
Unread posts
Other LaTeX forums
TeXwelt (deutsch)
goLaTeX (deutsch)
TeXnique (français)
Board index
All times are UTC+02:00
Delete all board cookies
Text Formatting
Graphics, Figures & Tables
Math & Science
Fonts & Character Sets
Page Layout
Document Classes
BibTeX, biblatex and biber
MakeIndex, Nomenclature, Glossaries and Acronyms
Conversion Tools
Viewers for PDF, PS, and DVI
Decision Guidance
MiKTeX and proTeXt
TeX Live and MacTeX
Scientific Word/Workplace
Texmaker and TeXstudio
Announcements
Templates, Wizards & Tools
Feature Suggestions
Development
Articles, Essays, and Journal Templates
Theses, Books, Title pages
Presentations and Posters
Curricula Vitae / Résumés
Assignments, Laboratory books and reports
Calendars and Miscellaneous
Community talk
Comments & Wishes
New Members
LaTeX Beginner's Guide

EasyPS - Personal Statement Framework

Kom i kontakt med os

Har du tjekket vores videns base ?

Besked sendt! Vores hold kigger på det, og svarer via e-mail.

Email:

EasyPS - Personal Statement Framework

Kom i kontakt

Har du kollat i vår kunskapsbank ?

Meddelandet har skickats! Vårt team kommer att granska det och svara via e-post.

Email:

EasyPS - Personal Statement Framework

Have you checked our knowledge base ?

Forespørsel sendt. Takk.

Email:

EasyPS - Personal Statement Framework

Ponte en contacto

Have you checked our knowledge base ?

Solicitud enviada, gracias.

Email:

Our Personal Statement Latex Template

Are you looking to belong in the LaTeX industry to participate in projects involving scientific or technical documents? If so, you may be looking for a good personal statement latex template to use for securing a slot in an institution you may want to apply for enhancing your skills and training you to become a professional in LaTeX. Check out the following tips you need in writing this important piece of essay.

What Should Be Your Purpose in Writing the Latex Personal Statement?

The main goal of this essay is to convince the screening committee as to why you, over other applicants, must be chosen and taken in. You should be able to sell yourself the best way possible so that you can compel them to get you for one of the slots they offer. Here is the right way of coming up with a good personal statement:

But first look at the great examlle of personal statement for scholarship .

Tips for Writing the Latex Personal Statement:

Introduce yourself. Hit the bullet straightway, as the screening committee’s time is so precious that they won’t be spending much time in reading one application for more than two minutes should they find it boring. Tell them about yourself and your interests. Perhaps, you can also mention about your solid achievements. You should also tell them what sparked your desire of applying for this study, but make sure that this is straight to the point. The latex personal statement is not an autobiography!
According to the experts who have created the best latex personal statement template , you should be able to plan before you start writing, allowing you to save time and focus in writing your personal statement better. Ask yourself a few questions about the information you want to include in the personal statement.
You also have to ask yourself why you want to study at higher education and what type of subjects in particular interest you. Tell them what your ambitions are when done taking up the course.
Be able to write about your achievements, skills and experiences to highlight you would do well if you were taken in. However, never consider adding or listing all of them to avoid wasting precious space. Only highlight the most important ones.
Before writing and sending in your personal statement latex template, you have to read and understand directions carefully as universities and colleges do not have the same requirements, as to word count, topics and all.

Useful tips to craft an outstanding personal statement for pharmacy school!

Follow these tips to find in the best personal statement latex template and increase your chances of being shortlisted for an interview. Study your options well and learn more about writing good personal statement template today! Share this:

Statement of Purpose template with example text

A Statement of Purpose template with example sections and dummy text.

Get in touch

Have you checked our knowledge base ?

Message sent! Our team will review it and reply by email.

Email:

Main Navigation

Contact NeurIPS
Code of Ethics
Code of Conduct
Create Profile
Journal To Conference Track
Diversity & Inclusion
Proceedings
Future Meetings
Exhibitor Information
Privacy Policy

NeurIPS 2024 Datasets and Benchmarks Track

If you'd like to become a reviewer for the track, or recommend someone, please use this form .

The Datasets and Benchmarks track serves as a venue for high-quality publications, talks, and posters on highly valuable machine learning datasets and benchmarks, as well as a forum for discussions on how to improve dataset development. Datasets and benchmarks are crucial for the development of machine learning methods, but also require their own publishing and reviewing guidelines. For instance, datasets can often not be reviewed in a double-blind fashion, and hence full anonymization will not be required. On the other hand, they do require additional specific checks, such as a proper description of how the data was collected, whether they show intrinsic bias, and whether they will remain accessible. The Datasets and Benchmarks track is proud to support the open source movement by encouraging submissions of open-source libraries and tools that enable or accelerate ML research.

The previous editions of the Datasets and Benchmarks track were highly successful; you can view the accepted papers from 2021 , 2002 , and 2023 , and the winners of the best paper awards 2021 , 2022 and 2023

CRITERIA. W e are aiming for an equally stringent review as the main conference, yet better suited to datasets and benchmarks. Submissions to this track will be reviewed according to a set of criteria and best practices specifically designed for datasets and benchmarks , as described below. A key criterion is accessibility: datasets should be available and accessible , i.e. the data can be found and obtained without a personal request to the PI, and any required code should be open source. We encourage the authors to use Croissant format ( https://mlcommons.org/working-groups/data/croissant/ ) to document their datasets in machine readable way. Next to a scientific paper, authors should also submit supplementary materials such as detail on how the data was collected and organised, what kind of information it contains, how it should be used ethically and responsibly, as well as how it will be made available and maintained.

RELATIONSHIP TO NeurIPS. Submissions to the track will be part of the main NeurIPS conference , presented alongside the main conference papers. Accepted papers will be officially published in the NeurIPS proceedings .

SUBMISSIONS. There will be one deadline this year. It is also still possible to submit datasets and benchmarks to the main conference (under the usual review process), but dual submission to both is not allowed (unless you retracted your paper from the main conference). We also cannot transfer papers from the main track to the D&B track. Authors can choose to submit either single-blind or double-blind . If it is possible to properly review the submission double-blind, i.e., reviewers do not need access to non-anonymous repositories to review the work, then authors can also choose to submit the work anonymously. Papers will not be publicly visible during the review process. Only accepted papers will become visible afterward. The reviews themselves are not visible during the review phase but will be published after decisions have been made. The datasets themselves should be accessible to reviewers but can be publicly released at a later date (see below). New authors cannot be added after the abstract deadline and they should have an OpenReview profile by the paper deadline. NeurIPS does not tolerate any collusion whereby authors secretly cooperate with reviewers, ACs or SACs to obtain favourable reviews.

SCOPE. This track welcomes all work on data-centric machine learning research (DMLR) and open-source libraries and tools that enable or accelerate ML research, covering ML datasets and benchmarks as well as algorithms, tools, methods, and analyses for working with ML data. This includes but is not limited to:

New datasets, or carefully and thoughtfully designed (collections of) datasets based on previously available data.
Data generators and reinforcement learning environments.
Data-centric AI methods and tools, e.g. to measure and improve data quality or utility, or studies in data-centric AI that bring important new insight.
Advanced practices in data collection and curation that are of general interest even if the data itself cannot be shared.
Frameworks for responsible dataset development, audits of existing datasets, identifying significant problems with existing datasets and their use
Benchmarks on new or existing datasets, as well as benchmarking tools.
In-depth analyses of machine learning challenges and competitions (by organisers and/or participants) that yield important new insight.
Systematic analyses of existing systems on novel datasets yielding important new insight.

Read our original blog post for more about why we started this track.

Important dates

Abstract submission deadline: May 29, 2024
Full paper submission and co-author registration deadline: Jun 5, 2024
Supplementary materials submission deadline: Jun 12, 2024
Review deadline - Jul 24, 2024
Release of reviews and start of Author discussions on OpenReview: Aug 07, 2024
End of author/reviewer discussions on OpenReview: Aug 31, 2024
Author notification: Sep 26, 2024
Camera-ready deadline: Oct 30, 2024 AOE

Note: The site will start accepting submissions on April 1 5 , 2024.

FREQUENTLY ASKED QUESTIONS

Q: My work is in scope for this track but possibly also for the main conference. Where should I submit it?

A: This is ultimately your choice. Consider the main contribution of the submission and how it should be reviewed. If the main contribution is a new dataset, benchmark, or other work that falls into the scope of the track (see above), then it is ideally reviewed accordingly. As discussed in our blog post, the reviewing procedures of the main conference are focused on algorithmic advances, analysis, and applications, while the reviewing in this track is equally stringent but designed to properly assess datasets and benchmarks. Other, more practical considerations are that this track allows single-blind reviewing (since anonymization is often impossible for hosted datasets) and intended audience, i.e., make your work more visible for people looking for datasets and benchmarks.

Q: How will paper accepted to this track be cited?

A: Accepted papers will appear as part of the official NeurIPS proceedings.

Q: Do I need to submit an abstract beforehand?

A: Yes, please check the important dates section for more information.

Q: My dataset requires open credentialized access. Can I submit to this track?

A: This will be possible on the condition that a credentialization is necessary for the public good (e.g. because of ethically sensitive medical data), and that an established credentialization procedure is in place that is 1) open to a large section of the public, 2) provides rapid response and access to the data, and 3) is guaranteed to be maintained for many years. A good example here is PhysioNet Credentialing, where users must first understand how to handle data with human subjects, yet is open to anyone who has learned and agrees with the rules. This should be seen as an exceptional measure, and NOT as a way to limit access to data for other reasons (e.g. to shield data behind a Data Transfer Agreement). Misuse would be grounds for desk rejection. During submission, you can indicate that your dataset involves open credentialized access, in which case the necessity, openness, and efficiency of the credentialization process itself will also be checked.

SUBMISSION INSTRUCTIONS

A submission consists of:

Please carefully follow the Latex template for this track when preparing proposals. We follow the NeurIPS format, but with the appropriate headings, and without hiding the names of the authors. Download the template as a bundle here .
Papers should be submitted via OpenReview
Reviewing is in principle single-blind, hence the paper should not be anonymized. In cases where the work can be reviewed equally well anonymously, anonymous submission is also allowed.
During submission, you can add a public link to the dataset or benchmark data. If the dataset can only be released later, you must include instructions for reviewers on how to access the dataset. This can only be done after the first submission by sending an official note to the reviewers in OpenReview. We highly recommend making the dataset publicly available immediately or before the start of the NeurIPS conference. In select cases, requiring solid motivation, the release date can be stretched up to a year after the submission deadline.
Dataset documentation and intended uses. Recommended documentation frameworks include datasheets for datasets , dataset nutrition labels , data statements for NLP , data cards , and accountability frameworks .
URL to website/platform where the dataset/benchmark can be viewed and downloaded by the reviewers.
URL to Croissant metadata record documenting the dataset/benchmark available for viewing and downloading by the reviewers. You can create your Croissant metadata using e.g. the Python library available here: https://github.com/mlcommons/croissant
Author statement that they bear all responsibility in case of violation of rights, etc., and confirmation of the data license.
Hosting, licensing, and maintenance plan. The choice of hosting platform is yours, as long as you ensure access to the data (possibly through a curated interface) and will provide the necessary maintenance.
Links to access the dataset and its metadata. This can be hidden upon submission if the dataset is not yet publicly available but must be added in the camera-ready version. In select cases, e.g when the data can only be released at a later date, this can be added afterward (up to a year after the submission deadline). Simulation environments should link to open source code repositories
The dataset itself should ideally use an open and widely used data format. Provide a detailed explanation on how the dataset can be read. For simulation environments, use existing frameworks or explain how they can be used.
Long-term preservation: It must be clear that the dataset will be available for a long time, either by uploading to a data repository or by explaining how the authors themselves will ensure this
Explicit license: Authors must choose a license, ideally a CC license for datasets, or an open source license for code (e.g. RL environments). An overview of licenses can be found here: https://paperswithcode.com/datasets/license
Add structured metadata to a dataset's meta-data page using Web standards (like schema.org and DCAT ): This allows it to be discovered and organized by anyone. A guide can be found here: https://developers.google.com/search/docs/data-types/dataset . If you use an existing data repository, this is often done automatically.
Highly recommended: a persistent dereferenceable identifier (e.g. a DOI minted by a data repository or a prefix on identifiers.org ) for datasets, or a code repository (e.g. GitHub, GitLab,...) for code. If this is not possible or useful, please explain why.
For benchmarks, the supplementary materials must ensure that all results are easily reproducible. Where possible, use a reproducibility framework such as the ML reproducibility checklist , or otherwise guarantee that all results can be easily reproduced, i.e. all necessary datasets, code, and evaluation procedures must be accessible and documented.
For papers introducing best practices in creating or curating datasets and benchmarks, the above supplementary materials are not required.
For papers resubmitted after being retracted from another venue: a brief discussion on the main concerns raised by previous reviewers and how you addressed them. You do not need to share the original reviews.
For the dual submission and archiving, the policy follows the NeurIPS main track paper guideline .

Use of Large Language Models (LLMs): We welcome authors to use any tool that is suitable for preparing high-quality papers and research. However, we ask authors to keep in mind two important criteria. First, we expect papers to fully describe their methodology, and any tool that is important to that methodology, including the use of LLMs, should be described also. For example, authors should mention tools (including LLMs) that were used for data processing or filtering, visualization, facilitating or running experiments, and proving theorems. It may also be advisable to describe the use of LLMs in implementing the method (if this corresponds to an important, original, or non-standard component of the approach). Second, authors are responsible for the entire content of the paper, including all text and figures, so while authors are welcome to use any tool they wish for writing the paper, they must ensure that all text is correct and original.

REVIEWING AND SELECTION PROCESS

Reviewing will be single-blind, although authors can also submit anonymously if the submission allows that. A datasets and benchmarks program committee will be formed, consisting of experts on machine learning, dataset curation, and ethics. We will ensure diversity in the program committee, both in terms of background as well as technical expertise (e.g., data, ML, data ethics, social science expertise). Each paper will be reviewed by the members of the committee. In select cases where ethical concerns are flagged by reviewers, an ethics review may be performed as well.

Papers will not be publicly visible during the review process. Only accepted papers will become visible afterward. The reviews themselves are also not visible during the review phase but will be published after decisions have been made. Authors can choose to keep the datasets themselves hidden until a later release date, as long as reviewers have access.

The factors that will be considered when evaluating papers include:

Utility and quality of the submission: Impact, originality, novelty, relevance to the NeurIPS community will all be considered.
Reproducibility: All submissions should be accompanied by sufficient information to reproduce the results described i.e. all necessary datasets, code, and evaluation procedures must be accessible and documented. We encourage the use of a reproducibility framework such as the ML reproducibility checklist to guarantee that all results can be easily reproduced. Benchmark submissions in particular should take care to ensure sufficient details are provided to ensure reproducibility. If submissions include code, please refer to the NeurIPS code submission guidelines .
Was code provided (e.g. in the supplementary material)? If provided, did you look at the code? Did you consider it useful in guiding your review? If not provided, did you wish code had been available?
Ethics: Any ethical implications of the work should be addressed. Authors should rely on NeurIPS ethics guidelines as guidance for understanding ethical concerns.
Completeness of the relevant documentation: Per NeurIPS ethics guidelines , datasets must be accompanied by documentation communicating the details of the dataset as part of their submissions via structured templates (e.g. TODO). Sufficient detail must be provided on how the data was collected and organized, what kind of information it contains, ethically and responsibly, and how it will be made available and maintained.
Licensing and access: Per NeurIPS ethics guidelines , authors should provide licenses for any datasets released. These should consider the intended use and limitations of the dataset, and develop licenses and terms of use to prevent misuse or inappropriate use.
Consent and privacy: Per NeurIPS ethics guidelines , datasets should minimize the exposure of any personally identifiable information, unless informed consent from those individuals is provided to do so. Any paper that chooses to create a dataset with real data of real people should ask for the explicit consent of participants, or explain why they were unable to do so.
Ethics and responsible use: Any ethical implications of new datasets should be addressed and guidelines for responsible use should be provided where appropriate. Note that, if your submission includes publicly available datasets (e.g. as part of a larger benchmark), you should also check these datasets for ethical issues. You remain responsible for the ethical implications of including existing datasets or other data sources in your work.
Legal compliance: For datasets, authors should ensure awareness and compliance with regional legal requirements.

ADVISORY COMMITTEE

The following committee will provide advice on the organization of the track over the coming years: Sergio Escalera, Isabelle Guyon, Neil Lawrence, Dina Machuve, Olga Russakovsky, Joaquin Vanschoren, Serena Yeung.

DATASETS AND BENCHMARKS CHAIRS

Lora Aroyo, Google Francesco Locatello, Institute of Science and Technology Austria Lingjuan Lyu, Sony AI

Contact: [email protected]

NeurIPS uses cookies to remember that you are logged in. By using our websites, you agree to the placement of cookies.

Saved searches

Use saved searches to filter your results more quickly.

To see all available qualifiers, see our documentation .