google-research-datasets
Google Research Datasets Joined Sept 2015 View on GitHub
- Stars
- 15,673
- across 175 public repos
- Rank
- #2,448
- of 94,823 organizations, top 3%
- New on the board this week
Repositories with 50+ stars
| Rank | Repository | Language | Stars |
|---|---|---|---|
| 28,767 | Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the... | Jupyter Notebook | 2,361 |
| 59,303 | Natural Questions (NQ) contains real user questions issued to Google search, and answers found from Wikipedia by annotators. NQ is designed for the training and evaluation of automatic question... | Python | 1,137 |
| 60,338 | WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages. | 1,115 | |
| 105,099 | The Schema-Guided Dialogue Dataset | Python | 608 |
| 111,190 | This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase... | Python | 572 |
| 112,086 | Conceptual Captions is a dataset containing (image-URL, caption) pairs designed for the training and evaluation of machine learned image captioning systems. | Shell | 567 |
| 132,274 | 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,... | 471 | |
| 144,541 | Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training. | 426 | |
| 147,264 | Detailed visual + nutritional data for over 5,000 plates of food. | Python | 417 |
| 186,419 | TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and without the use of translation, and is designed for the... | Python | 319 |
| 188,000 | 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 | 316 |
| 214,535 | This repository contains the three WikiReading datasets as used and described in WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia, Hewlett, et al, ACL 2016 (the English... | Python | 271 |
| 235,911 | A large corpus of discourse annotations and relations on ~10K forum threads. | Python | 242 |
| 247,906 | GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia for the evaluation of coreference resolution in... | Python | 228 |
| 248,780 | 227 | ||
| 250,628 | 225 | ||
| 253,394 | Please see the readme file as well as our 2019 EMNLP paper linked here --> | 222 | |
| 255,239 | CVSS: A Massively Multilingual Speech-to-Speech Translation Corpus | 220 | |
| 261,100 | The Dakshina dataset is a collection of text in both Latin and native scripts for 12 South Asian languages. For each language, the dataset includes a large collection of native script Wikipedia... | 214 | |
| 290,678 | Room-across-Room (RxR) is a large-scale, multilingual dataset for Vision-and-Language Navigation (VLN) in Matterport3D environments. It contains 126k navigation instructions in English, Hindi and... | Python | 188 |
| 294,526 | SemCor and Masc documents annotated with NOAD word senses. | 185 | |
| 305,510 | 177 | ||
| 311,422 | 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... | Jupyter Notebook | 173 |
| 329,044 | 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... | Python | 162 |
| 332,394 | The dataset contains 3 million attribute-value annotations across 1257 unique categories on 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product... | Python | 160 |
| 335,849 | 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... | 158 | |
| 342,960 | 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... | Python | 154 |
| 388,835 | C++ | 132 | |
| 406,205 | One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits. | 125 | |
| 414,077 | Large corpus of uncompressed and compressed sentences from news articles. | 122 | |
| 422,270 | QED: A Framework and Dataset for Explanations in Question Answering | Python | 119 |
| 430,904 | A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs | 116 | |
| 436,881 | The Synthetic-Persona-Chat dataset is a synthetically generated persona-based dialogue dataset. It extends the original Persona-Chat dataset. | Python | 114 |
| 440,054 | cLang-8 is a dataset for grammatical error correction. | Python | 113 |
| 462,643 | A dataset of atomic wikipedia edits containing insertions and deletions of a contiguous chunk of text in a sentence. This dataset contains ~43 million edits across 8 languages. | 106 | |
| 504,013 | The Screen Annotation dataset consists of pairs of mobile screenshots and their annotations. The annotations are in text format, and describe the UI elements present on the screen: their type,... | 95 | |
| 525,809 | Seahorse is a dataset for multilingual, multi-faceted summarization evaluation. It consists of 96K summaries with human ratings along 6 quality dimensions: comprehensibility, repetition, grammar,... | 90 | |
| 550,066 | 25,100 queries from the Paralex corpus (Fader et al., 2013) annotated with human ratings of whether they are well-formed natural language questions. | 85 | |
| 555,282 | Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (https://www.aclweb.org/anthology/2020.acl-main.173.pdf). | 84 | |
| 577,238 | We identify the desiderata for a comprehensive benchmark and propose Visually Rich Document Understanding (VRDU). VRDU contains two datasets that represent several challenges: rich schema... | 80 | |
| 588,921 | VideoCC is a dataset containing (video-URL, caption) pairs for training video-text machine learning models. It is created using an automatic pipeline starting from the Conceptual Captions... | 78 | |
| 620,105 | Temporal Commonsense Reasoning in Dialog | 73 | |
| 648,268 | Jupyter Notebook | 69 | |
| 663,649 | A database of number names for 186 languages, locales, and scripts | 67 | |
| 663,649 | The dataset includes screen summaries that describes Android app screenshot's functionalities. It is used for training and evaluation of the screen2words models (our paper accepted by UIST'21 will... | 67 | |
| 671,420 | Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant sentences in problem descriptions. GSM-IC is constructed to... | 66 | |
| 687,857 | A Benchmark Dataset for Understanding Disfluencies in Question Answering | 64 | |
| 687,857 | Python | 64 | |
| 696,211 | Labeled data for homograph disambiguation | 63 | |
| 713,857 | Covering grammars for English and Russian text normalization | Makefile | 61 |
| 723,184 | 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... | 60 | |
| 752,861 | Automatically exported from code.google.com/p/relation-extraction-corpus | 57 | |
| 774,473 | We believe the ability of an LLM to attribute the text that it generates is likely to be crucial for both system developers and users in information-seeking scenarios. This release consists of... | Python | 55 |
| 785,813 | Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO | Python | 54 |
| 785,813 | The dataset includes UI object type labels (e.g., BUTTON, IMAGE, CHECKBOX) that describes the semantic type of an UI object on Android app screenshots. It is used for training and evaluation of... | 54 | |
| 809,385 | Python | 52 | |
| 834,245 | SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 languages, generated using PaLM 2 and summarize-then-ask... | 50 |
Among 94,823 organizations
10k–16k stars: 1,460 organizations, including google-research-datasets
Stars along the bottom, and organizations in each band on a log scale
Where the stars are
Languages
- Python 5k stars, 32% · 19 repos
- Jupyter Notebook 2.9k stars, 19% · 4 repos
- Shell 567 stars, 4% · 1 repo
- C++ 132 stars, 1% · 1 repo
- Makefile 61 stars, <1% · 1 repo
When they were made
57 repos with 50+ stars, made between 2015 and 2024
Quick stats
- Next rank
- +9 stars to reach #2,447
- Next milestone
- +19,326 stars to reach the top 1%
- Public repos
- 175, 57 with 50+ stars
- Popular repos
- 35 over 100 stars, 3 over 1k stars
- Top repo
- Objectron, #28,767 of all repos, 15% of stars
- Smaller repos
- 1,723 stars from repos under 50