Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
topic-classification
Languages:
Ukrainian
Size:
1K - 10K
License:
File size: 765 Bytes
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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))
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