Dataset

Items edition,position,headline,text,links,hattips 2015.10.21,1,Every place name in the United States.,Sometimes, bureaucracy creates poetry. Since 1890, the U.S. Board on Geographic Names has been cataloguing, standardizing, and promulgating official names for the places we hike, swim, work, an...

مجموعة فرعية غير مكررة من مطالبات vivym/midjourney (مجموعة بيانات Hugging Face). المطالبات التي تم جمعها من قنوات Midjourney Discord العامة.

جمع وتحميل المحادثات لمجموعة بيانات الدردشة الآلية.

مساحة عمل تعاونية للمديرين والمهندسين وخبراء البيانات لتطوير ميزات الذكاء الاصطناعي.

目前主要维护经济学人【The Economist】、纽约客【The NewYorker】和时代杂志【Time】 - News-Record/TheEconomist at master · AlenZhang-Dev/News-Record

Collect and upload conversations for chat-bot dataset.

احصل على مجموعات بيانات دقيقة وكاملة جاهزة للاستخدام

مجموعات البيانات البيومترية للوجه لمشاريع الذكاء الاصطناعي.

منصة التعهيد الجماعي لمجموعة بيانات الذكاء الاصطناعي

MNIST is a great dataset in awful packaging. Here's a CSV instead of that crazy format they are normally available in. Enjoy!

Stanford Question Answering Dataset (SQuAD) is a new reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage. With 100,000+ question-answer pairs on 500+ articles, SQuAD is significantly larger than previous reading comprehension datasets.

source{d} datasets ("big code") for source code analysis and machine learning on source code - datasets/PublicGitArchive at master · src-d/datasets

Discover datasets around the world!

A benchmark dataset for language modeling experiments with 1 billion words, providing training/test data and baseline model outputs for reproducible research.

A Chinese sentiment dataset may be useful for sentiment analysis. - GitHub - z17176/Chinese_conversation_sentiment: A Chinese sentiment dataset may be useful for sentiment analysis.

This website provides a live demo for predicting the sentiment of movie reviews. Most sentiment prediction systems work just by looking at words in isolation, giving positive points for positive words and negative points for negative words and then summing up these points. That way, the order of words is ignored and important information is lost. In constrast, our new deep learning model actually builds up a representation of whole sentences based on the sentence structure. It computes the sentiment based on how words compose the meaning of longer phrases.

An index of all open-source data. Contribute to GoogleTrends/data development by creating an account on GitHub.

A dataset of Amazon product co-purchasing networks and reviews from 2006, useful for research and analysis.

This is a corpus of Chinese abbreviation, including negative full forms. - GitHub - zhangyics/Chinese-abbreviation-dataset: This is a corpus of Chinese abbreviation, including negative full forms.

A Chinese Cloze-style RC Dataset: People's Daily & Children's Fairy Tale (CFT) - GitHub - ymcui/Chinese-Cloze-RC: A Chinese Cloze-style RC Dataset: People's Daily & Children's Fairy Tale (CFT)

微小图像数据集

The 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec 2011,  has released datasets from Delicious, Last.fm Web 2.0, MovieLens, IMDb, and Rotten Tomat…

中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。 - GitHub - wainshine/Chinese-Names-Corpus: 中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。

A large dataset for binary sentiment classification with 50,000 polar movie reviews, used for training and testing in NLP and machine learning.