Facebook 发布的300维预训练,在 Common Crawl 上训练的200万个词向量
300-dimensional pretrained FastText English word vectors released by Facebook.The first line of the file contains the nu...NLP,Arts and Entertainment Classification
650M
443
Manish Maharjan
英国癌症的文本挖掘和分析,英国癌症的自然语言处理
Text mining and analysis on Cancer UK Natural language processing on cancer UK...NLP,Biology,Text Data,Health Conditions Classification
4.33M
313
Moamen Ibrahim
FastText 一个用于学习词嵌入和文本分类的库
fastText is a library for learning of word embeddings and text classification created by Facebook's AI Research (FAI...NLP,Computer Science Classification
6.6G
766
Jia Yang
用于NLP的文本数据集
This is a bundle of three text data sets to be used for NLP research.Dialog system technology challenge 7 (DSTC7)UbuntuA...NLP,Earth and Nature,Education Classification
6.49G
751
Florian Peters
SMS Spam Ham Prediction
Business,Earth and Nature,Internet,Economics,NLP Classification
0.48M
286
Lampu
Warframe Steam 星际战甲用户评论数据
The data is crawled from STEAM, up until April 22nd, 2019...NLP,Video Games Classification
20.22M
332
Jiaxu Zhang
斯坦福GloVe 200d数据集,转化为word2vec格式数据
Is the Stanford GloVe 200d dataset converted to word2vec format...NLP,Computer Science Classification
661.31M
702
the kwisatz haderach
确定代词解析数据集
ContextHere's the csv dataset for Definite Pronoun Resolution Dataset contributed by Rahman and Ng. (2012) http://ww...NLP Classification
143K
362
Ariba Siddiqui
SMILES OCR数据集,包含超过 90 万个 SMILES 格式的单一产品反应
SMILES(简化分子输入行输入系统)是一种用于输入和表示分子和反应的行符号(一种使用可打印字符的印刷方法)。该数据集包含超过...NLP,Chemistry Classification
175M
865
Elahi
Reddit 评论分数预测,使用 NLP 预测评论分数
The idea behind this dataset is to try to predict whether a particular comment would be highly up-voted or down-voted gi...NLP,Computer Science,Social Science Classification
1.8G
319
Evan Hallmark
维基百科的句子,英语维基百科转储中收集了780万个句子
The wikipedia dump is a giant XML file and contains loads of not-so-useful content. I needed some english text for some...NLP,Text Mining Classification
891.28M
373
Mike Ortman
《辛普森一家》的台词
Arts and Entertainment,NLP,Text Data,Text Mining,Comics and Animation Classification
8.94M
574
Pierre Megret
带注释的GMB语料库,GMB文本语料库的注释子集
Named Entity Recognition for annotated corpus using GMB(Groningen Meaning Bank) corpus for entity classification with en...NLP,Exploratory Data Analysis,Classification,Random Forest Classification
1.52M
354
Shoumik
ConceptNet Numberbatch 向量,来自 ConceptNet 的词向量
These are the word vectors released by the Conceptnet project.ConceptNet的本质是一个三元组:...NLP Classification
899.91M
351
Nohman