Datasets:
Tasks:
Text Classification
Languages:
German
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Tags:
| from datasets import load_dataset | |
| import re | |
| ds = load_dataset("test.csv") | |
| def prepro(datapoint): | |
| pattern = "\s([0-9]\.){0,1}[0-9]{0,3}(?=\Z)" | |
| text = datapoint["Embedded_text"].replace("\n", " ") | |
| for i in range(3): | |
| text = re.sub(pattern, "", text) | |
| text = text.replace("Diesen Thread anzeigen", "").replace(" ", " ").replace(" ", " ") | |
| datapoint["text"] = text | |
| del datapoint["Embedded_text"] | |
| return datapoint | |
| ds_f = ds.map(prepro) | |
| ds_f.to_parquet("test.parquet") |