# cls-text-classification — Data

来源：https://www.kaggle.com/competitions/cls-text-classification/data

采集时间：2026-10-24T10:36:23Z

Data Links
Dataset:
[http://cake.da.inf.ethz.ch/twitter-datasets.zip](http://cake.da.inf.ethz.ch/twitter-datasets.zip)
Pretrained word embeddings:
-
[http://cake.da.inf.ethz.ch/glove.6B.50d.txt](http://cake.da.inf.ethz.ch/glove.6B.50d.txt)
-
[https://polybox.ethz.ch/index.php/s/nVAHiyiVqOfhtKz](https://polybox.ethz.ch/index.php/s/nVAHiyiVqOfhtKz)
-
[https://drive.google.com/file/d/0B7XkCwpI5KDYNlNUTTlSS21pQmM/edit?usp=sharing](https://drive.google.com/file/d/0B7XkCwpI5KDYNlNUTTlSS21pQmM/edit?usp=sharing)
File descriptions
train_pos.txt
and
train_neg.txt
- a small set of training tweets for each of the two classes. (Dataset available in the zip file, see link below)
train_pos_full.txt
and
train_neg_full.txt
- a complete set of training tweets for each of the two classes, about 1M tweets per class.  (Dataset available in the zip file, see link below)
test_data.txt
- the test set, that is the tweets for which you have to predict the sentiment label.
sampleSubmission.csv
- a sample submission file in the correct format, note that each test tweet is numbered. (submission of predictions: -1 = negative prediction, 1 = positive prediction)
Note that all tweets have been tokenized already, so that the words and punctuation are properly separated by a whitespace.