Repositories list

• scin

  Public
  The SCIN dataset contains 10,000+ images of dermatology conditions, crowdsourced with informed consent from US internet users. Contributions include self-reported demographic and symptom information and dermatologist labels. The dataset also contains estimated Fitzpatrick skin type and Monk Skin Tone.

  Jupyter Notebook

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  Other

  •9•83•2•0•Updated Nov 23, 2024Nov 23, 2024

• MISeD

  Public
  MISeD (Meeting Information Seeking Dialogs dataset) is an information-seeking dialog dataset focused on meeting transcripts. It includes 432 dialogs over transcripts from the QMSum dataset. MISeD is described in detail in the paper: Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts.

  3•9•0•0•Updated Nov 20, 2024Nov 20, 2024

• uicrit

  Public
  UICrit is a dataset containing human-generated natural language design critiques, corresponding bounding boxes for each critique, and design quality ratings for 1,000 mobile UIs from RICO. This dataset was collected for our UIST '24 paper: https://arxiv.org/abs/2407.08850.

  1•6•0•0•Updated Nov 19, 2024Nov 19, 2024

• hiertext

  Public
  The HierText dataset contains ~12k images from the Open Images dataset v6 with large amount of text entities. We provide word, line and paragraph level annotations.

  Jupyter Notebook

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  Creative Commons Attribution Share Alike 4.0 International

  •24•267•2•1•Updated Nov 8, 2024Nov 8, 2024

• WordGraph

  Public
  The WordGraph dataset contains multilingual lexicon entries linked to wikipedia entities, focusing on human-denoting names and demonym adjectives. Each lexicon entries contain inflected word-form and morphological information all locales.

  Creative Commons Zero v1.0 Universal

  •0•0•0•0•Updated Nov 7, 2024Nov 7, 2024

• Education-Dialogue-Dataset

  Public
  Dataset of conversations, generated by prompting Gemini Ultra. These are conversations between a teacher and a student, where the teacher is prompted with specific topic to teach the student, and the student is prompted with their learning preferences. https://arxiv.org/abs/2405.14655

  0•3•0•0•Updated Oct 29, 2024Oct 29, 2024

• sanpo_dataset

  Public
  Python

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  Apache License 2.0

  •2•41•3•2•Updated Oct 28, 2024Oct 28, 2024

• GeniL

  Public
  GeniL dataset is an effort for detecting various types of generalization in language. This multilingual dataset covers sentences in EN, FR, ES, PT, AR, HI, BN, MS, and ID and is annotated by native speakers of each language. Each sentence is collected from a public corpora of language and contains at least one identity group name and an attribute.

  Creative Commons Attribution 4.0 International

  •1•2•0•0•Updated Oct 18, 2024Oct 18, 2024

• tap-typing-with-touch-sensing-images

  Public
  The Tap Typing with Touch Sensing Images (TSI) dataset contains data of user taps on a mobile touchscreen keyboard, including elliptical features and capacitive sensing images of the taps. The dataset aligns each tap with a key the user intended to type during data collection so it can be used for keyboard decoder training and/or evaluation.

  Creative Commons Attribution 4.0 International

  •1•1•1•0•Updated Oct 15, 2024Oct 15, 2024

• mittens

  Public
  Datasets for measuring misgendering in translation

  Other

  •0•5•0•0•Updated Oct 4, 2024Oct 4, 2024

• adversarial-nibbler

  Public
  This dataset contains results from all rounds of Adversarial Nibbler. This data includes adversarial prompts fed into public generative text2image models and validations for unsafe images. There will be two sets of data: all prompts submitted and all prompts attempted (sent to t2i models but not submitted as unsafe).

  Creative Commons Attribution 4.0 International

  •3•20•0•0•Updated Sep 30, 2024Sep 30, 2024

• wit

  Public
  WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

  multilingualnlpmachine-learning+ 3wikipediamultimodalcc-by-sa-3

  Other

  •41•1k•1•0•Updated Sep 27, 2024Sep 27, 2024

• C4_200M-synthetic-dataset-for-grammatical-error-correction

  Public
  This dataset contains synthetic training data for grammatical error correction. The corpus is generated by corrupting clean sentences from C4 using a tagged corruption model. The approach and the dataset are described in more detail by Stahlberg and Kumar (2021) (https://www.aclweb.org/anthology/2021.bea-1.4/)

  Python

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  Creative Commons Attribution 4.0 International

  •24•157•0•0•Updated Sep 24, 2024Sep 24, 2024

• SeeGULL-Multilingual

  Public
  SeeGULL Multilingual is a multilingual and multicultural dataset of stereotypes. It consists of stereotypes in 20 languages with human annotations across 23 languages, including annotations on their degree of offensiveness.

  Creative Commons Attribution 4.0 International

  •1•3•0•0•Updated Sep 19, 2024Sep 19, 2024

• ToTTo

  Public
  ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description. We hope it can serve as a useful research benchmark for high-precision conditional text generation.

  37•437•6•0•Updated Sep 11, 2024Sep 11, 2024

• indic-gen-bench

  Public
  IndicGenBench is a high-quality, multilingual, multi-way parallel benchmark for evaluating Large Language Models (LLMs) on 4 user-facing generation tasks across a diverse set 29 of Indic languages covering 13 scripts and 4 language families.

  Other

  •6•42•1•0•Updated Sep 1, 2024Sep 1, 2024

• cf_triviaqa

  Public
  The CF-TriviaQA dataset accompanies "Hallucination Augmented Recitations for Language Models" paper (https://arxiv.org/abs/2311.07424). It is a counterfactual open book QA dataset generated from the TriviaQA dataset using Hallucination Augmented Recitations (HAR) approach, with the purpose of improving attribution in LLMs.

  Apache License 2.0

  •1•2•1•0•Updated Aug 30, 2024Aug 30, 2024

• BamTwoogle

  Public
  The BamTwoogle dataset accompanies "ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent" paper (https://arxiv.org/abs/2312.10003). It was written to be a complementary, slightly more challenging sequel to Bamboogle dataset. It addresses some of the shortcomings of Bamboogle we discovered while performing human evals for the paper.

  Creative Commons Attribution 4.0 International

  •1•3•0•0•Updated Aug 14, 2024Aug 14, 2024

• visage

  Public
  Visage contains an image dataset of images with human annotations on whether or not certain attributes are present or depicted in the image. The attribute may either be stereotypical or non-stereotypical w.r.t. to the identity group in the image. It also contains a list of attributes in English along with annotations about whether they are visual.

  Apache License 2.0

  •2•7•0•0•Updated Aug 13, 2024Aug 13, 2024

• SPICE

  Public
  SPICE is a stereotype dataset in English containing stereotypes collected in India with community engagement. It spans identity groups and stereotypes unique to India, as well as other stereotypes about gender and nationalities.

  Creative Commons Attribution 4.0 International

  •1•2•0•0•Updated Jul 26, 2024Jul 26, 2024

• cube

  Public
  CUBE is a benchmark to evaluate the Cultural Competence of T2I models

  Creative Commons Attribution 4.0 International

  •0•7•2•0•Updated Jul 18, 2024Jul 18, 2024

• screen_qa

  Public
  ScreenQA dataset was introduced in the "ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots" paper. It contains ~86K question-answer pairs collected by human annotators for ~35K screenshots from Rico. It should be used to train and evaluate models capable of screen content understanding via question answering.

  Creative Commons Attribution 4.0 International

  •7•94•3•0•Updated Jul 18, 2024Jul 18, 2024

• dices-dataset

  Public
  This repository contains two datasets with multi-turn adversarial conversations generated by human agents interacting with a dialog model and rated for safety by two corresponding diverse rater pools.

  4•24•1•0•Updated Jul 16, 2024Jul 16, 2024

• rico_semantics

  Public
  Consists of ~500k human annotations on the RICO dataset identifying various icons based on their shapes and semantics, and associations between selected general UI elements and their text labels. Annotations also include human annotated bounding boxes which are more accurate and have a greater coverage of UI elements.

  Creative Commons Attribution Share Alike 4.0 International

  •3•24•1•0•Updated Jun 27, 2024Jun 27, 2024

• tpu_graphs

  Public
  C++

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  Apache License 2.0

  •43•123•2•1•Updated Jun 25, 2024Jun 25, 2024

• richhf-18k

  Public
  RichHF-18K dataset contains rich human feedback labels we collected for our CVPR'24 paper: https://arxiv.org/pdf/2312.10240, along with the file name of the associated labeled images (no urls or images are included in this dataset).

  3•107•12•0•Updated Jun 25, 2024Jun 25, 2024

• web-images

  Public
  Images gathered from the Internet in 2023 and some metadata

  HTML

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  Other

  •1•1•0•0•Updated Jun 24, 2024Jun 24, 2024

• D3code

  Public
  D3code is a large-scale cross-cultural dataset of parallel annotations for offensive language detection by over 4k annotators, balanced across gender and age, from across 21 countries, representing eight geo-cultural regions.

  Creative Commons Attribution 4.0 International

  •1•2•0•0•Updated May 22, 2024May 22, 2024

• cpcd

  Public
  The Conversational Playlist Creation Dataset (CPCD) contains 917 conversations between two people where users express preferences over sets of songs in natural language and wizards to elicit preferences from users. The dataset includes per-song ratings and can be used to design and evaluate conversational recommendation systems.

  Python

  •3•10•1•1•Updated May 3, 2024May 3, 2024

• thesios

  Public
  This repository describes I/O traces of Google storage servers and disks synthesized by Thesios. Thesios synthesizes representative I/O traces by combining down-sampled I/O traces collected from multiple disks (HDDs) attached to multiple storage servers in Google distributed storage system.

  2•21•1•0•Updated Apr 29, 2024Apr 29, 2024