Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
topic-classification
Languages:
Ukrainian
Size:
1K - 10K
License:
import json | |
import polars as pl | |
with open("data/labels.json", "r") as f: | |
labels = json.load(f) | |
print(labels) | |
test = pl.read_ndjson("data/raw_test.jsonl") | |
train = pl.read_ndjson("data/raw_train.jsonl") | |
print(test) | |
print(train) | |
test_json = [] | |
for value in test.rows(): | |
label, text = value | |
print(labels[label], text) | |
test_json.append({"label": labels[label], "text": text}) | |
train_json = [] | |
for value in train.rows(): | |
label, text = value | |
print(labels[label], text) | |
train_json.append({"label": labels[label], "text": text}) | |
with open("data/test.jsonl", "w") as f: | |
f.writelines("\n".join(json.dumps(i) for i in test_json)) | |
with open("data/train.jsonl", "w") as f: | |
f.writelines("\n".join(json.dumps(i) for i in train_json)) | |