# Few-Shot-150T Corpus v1.1 (FS150T-Corpus)
The FS150T-Corpus consists of three files train_full.tsv (17,280 samples, 120 topics), dev_full.tsv 
(1,440 samples, 10 topics), and test_full.tsv (2,880 samples, 20 topics) in TSV format. Each topic has exactly 144 
samples. The topics do not overlap, i.e. this dataset is split for cross-topic experiments.

Each file has the following columns:

* **topic**: The topic of the sentence.
* **url**: The URL of the document from where the sentence was extracted
* **source**: The domain name from where the document originates
* **timestamp**: The timestamp of the document
* **sentence**: The sentence for classification
* **annotation**: Labels indicating whether this sentence is no argument towards the topic (NoArgument), a contra
argument (Argument_against), or a pro argument (Argument_for)

**REVIEW VERSION WITH FULL DATA**: Please be aware that the version to be released will not contain annotated text due to license reasons. The released dataset will only contain the annotation labels and information to retrieve the texts via dataset_from_warc.py.
