datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
go_emotions
Dataset Card for GoEmotions
Dataset Summary
The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral.
The raw data is included as well as the smaller, simplified version of the dataset with predefined train/val/test
splits.
Supported Tasks and Leaderboards
This dataset is intended for multi-class, multi-label emotion classification.
Languages
The data is in English.
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/go_emotions.civil_comments
Dataset Card for "civil_comments"
Dataset Summary
The comments in this dataset come from an archive of the Civil Comments
platform, a commenting plugin for independent news sites. These public comments
were created from 2015 - 2017 and appeared on approximately 50 English-language
news sites across the world. When Civil Comments shut down in 2017, they chose
to make the public comments available in a lasting open archive to enable future
research. The original data… See the full description on the dataset page: https://huggingface.co/datasets/google/civil_comments.MusicCaps
Dataset Card for MusicCaps
Dataset Summary
The MusicCaps dataset contains 5,521 music examples, each of which is labeled with an English aspect list and a free text caption written by musicians. An aspect list is for example "pop, tinny wide hi hats, mellow piano melody, high pitched female vocal melody, sustained pulsating synth lead", while the caption consists of multiple sentences about the music, e.g.,
"A low sounding male voice is rapping over a fast paced drums… See the full description on the dataset page: https://huggingface.co/datasets/google/MusicCaps.discofuse
Dataset Card for "discofuse"
Dataset Summary
DiscoFuse is a large scale dataset for discourse-based sentence fusion.
Supported Tasks and Leaderboards
More Information Needed
Languages
More Information Needed
Dataset Structure
Data Instances
discofuse-sport
Size of downloaded dataset files: 4.33 GB
Size of the generated dataset: 15.04 GB
Total amount of disk used: 19.36 GB
An example of 'train' looks as follows.
{… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/discofuse.IIT-CDIP
Dataset Card for "IIT-CDIP-2"
More Information needed
code_x_glue_cc_clone_detection_big_clone_bench
Dataset Card for "code_x_glue_cc_clone_detection_big_clone_bench"
Dataset Summary
CodeXGLUE Clone-detection-BigCloneBench dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/Clone-detection-BigCloneBench
Given two codes as the input, the task is to do binary classification (0/1), where 1 stands for semantic equivalence and 0 for others. Models are evaluated by F1 score.
The dataset we use is BigCloneBench and filtered following the paper… See the full description on the dataset page: https://huggingface.co/datasets/google/code_x_glue_cc_clone_detection_big_clone_bench.google-patents-data-previewGoogle-Translated_Turkish_GPQA_DatasetWikiProfile
WikiProfile
WikiProfile is a factual knowledge benchmark for evaluating how well language models encode and recall factual knowledge. It comprises 2,150 facts, each paired with 10 questions, for a total of 21,500 question instances.
Each fact is grounded in the first paragraph (summary) of an English Wikipedia page and is defined as a proposition between two entities, a subject and an object (e.g., "Oasis played their first gig at the Boardwalk club" → subject: Oasis, object:… See the full description on the dataset page: https://huggingface.co/datasets/google/WikiProfile.GoogleTrendArchive
Google Trend Archive: Global Real-Time Search Trends (2024-2026)
Dataset Details
Dataset Description
This dataset contains over 10.2 million trending search instances from Google's Trending Now feature, collected continuously from November 28, 2024 to May 17, 2026 across all available geographic locations (200+ countries/regions). Unlike aggregated retrospective tools like Google Trends, Trending Now captures search queries experiencing real-time… See the full description on the dataset page: https://huggingface.co/datasets/aurman/GoogleTrendArchive.code_x_glue_tc_nl_code_search_adv
Dataset Card for "code_x_glue_tc_nl_code_search_adv"
Dataset Summary
CodeXGLUE NL-code-search-Adv dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Text-Code/NL-code-search-Adv
The dataset we use comes from CodeSearchNet and we filter the dataset as the following:
Remove examples that codes cannot be parsed into an abstract syntax tree.
Remove examples that #tokens of documents is < 3 or >256
Remove examples that documents contain special tokens… See the full description on the dataset page: https://huggingface.co/datasets/google/code_x_glue_tc_nl_code_search_adv.messengers-reviews-google-play
Reviews on Messengers Dataset - Review dataset
The Reviews on Messengers Dataset is a comprehensive collection of 200 the most recent customer reviews on 6 messengers obtained from the popular app store, Google Play. See the list of the apps below.
This dataset encompasses reviews written in 5 different languages: English, French, German, Italian, Japanese.
💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/messengers-reviews-google-play.witWikipedia-based Image Text (WIT) Dataset is a large multimodal multilingual dataset.
WIT is composed of a curated set of 37.6 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages.
Its size enables WIT to be used as a pretraining dataset for multimodal machine learning models.google-play-reviewdetails_google__gemma-7b-it
Dataset Card for Evaluation run of google/gemma-7b-it
Dataset automatically created during the evaluation run of model google/gemma-7b-it.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_google__gemma-7b-it.DocVQAgoogle-books-ngram-pos
Google Books Ngram — POS-tagged & cleaned
A cleaned, analysis-ready slice of the Google Books Ngram corpus v3
(20200217, English) with part-of-speech tags preserved, packaged as
Parquet for easy use with 🤗 datasets, pandas, DuckDB, or Polars.
This powers the POS / regex Ngram Viewer — an ngram viewer that supports
part-of-speech template queries (love *_NOUN) and regex (/ousness$/_NOUN),
patterns the official Google viewer cannot express.
Configs
config… See the full description on the dataset page: https://huggingface.co/datasets/dhruv-anand-aintech/google-books-ngram-pos.google_landmarks_places
Google Landmarks places
Google Landmarks is a great dataset, but it lacks geospatial information about the places. This dataset fills
this gap by providing latitude and longitude for each landmark. The dataset also contains the name of the landmark from OpenStreetMap
and information about the country, the province/state, and the city/village where the landmark is located. This information was collected from OSM
via Nominatim.
google_play_store_reviewsgranola-entity-questions
GRANOLA Entity Questions Dataset Card
Dataset details
Dataset Name: GRANOLA-EQ (Granularity of Labels Entity Questions)
Paper: Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers
Abstract: Factual questions typically can be answered correctly at different levels of granularity. For example, both "August 4, 1961" and "1961" are correct answers to the question "When was Barack Obama born?"". Standard question answering (QA)… See the full description on the dataset page: https://huggingface.co/datasets/google/granola-entity-questions.googleAnalyticsCustomerRevenuePredictiondetails_google__gemma-7b
Dataset Card for Evaluation run of google/gemma-7b
Dataset automatically created during the evaluation run of model google/gemma-7b.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_google__gemma-7b.details_google__gemma-1.1-7b-it
Dataset Card for Evaluation run of google/gemma-1.1-7b-it
Dataset automatically created during the evaluation run of model google/gemma-1.1-7b-it.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_google__gemma-1.1-7b-it.google-ads-transparencydetails_google__gemma-2b-it
Dataset Card for Evaluation run of google/gemma-2b-it
Dataset automatically created during the evaluation run of model google/gemma-2b-it.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_google__gemma-2b-it.LoraxBench
LoraxBench: A Benchmark for Indonesian Local Languages and Registers
Dataset Summary
LoraxBench is a comprehensive multilingual benchmark focusing on Indonesian and 19 Indonesian local languages, covering 6 diverse NLP tasks. It includes multiple registers for select languages, emphasizing the impact of formal and casual speech on model performance. LoraxBench is professionally translated and validated by natives, and were sourced from Indonesian-originated dataset, Our… See the full description on the dataset page: https://huggingface.co/datasets/google/LoraxBench.010_pickplace_googleball_3Cam_MQ_bboxes
010_pickplace_googleball_3Cam_MQ
This dataset was generated using phosphobot.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, get your own phospho starter pack..
turkish-google-maps-15M
Turkish Google Maps Reviews
Bu veri seti, Türkiye’deki işletmelere ait Türkçe Google Maps yorumlarını içerir.
Her kayıt:
yorum metni
yorum puanı
işletme adı
işletme kategorisi
gibi bilgileri içerir.
Veri seti, özellikle büyük ölçekli Türkçe NLP çalışmaları için uygundur.
Contents
Veri setinde aşağıdaki türde alanlar bulunmaktadır:
yorum metni (review_text)
yorum puanı (rating)
işletme adı (place_name)
işletme kategorisi (category)
kategori listesi (category_list)… See the full description on the dataset page: https://huggingface.co/datasets/opdullah/turkish-google-maps-15M.trending-words-google
Google Trending Words Dataset (2001-2024)
Dataset Description
This dataset contains Google trending words and search terms from 2001 to 2024, capturing 24 years of internet culture, major events, and global trends. The dataset includes 2,784 entries across 93 standardized categories, providing a comprehensive view of what captured the world's attention over more than two decades.
Dataset Summary
Total Entries: 2,784
Years Covered: 2001-2024 (24 years)… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/trending-words-google.google_landmarks_photos
Dataset Card for "google_landmarks_photos"
More Information needed