File size: 759 Bytes
95d0289 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | from datasets import Dataset, DatasetDict, Features, Value
import os
import gzip
import json
def load_jsonl_gz(file_path):
with gzip.open(file_path, 'rt', encoding='utf-8') as f:
return [json.loads(line) for line in f]
def load_data(data_dir):
# Adjust the paths if necessary to load all the files
data_files = [os.path.join(data_dir, f) for f in os.listdir(data_dir) if f.endswith(".jsonl.gz")]
data = []
for file in data_files:
data.extend(load_jsonl_gz(file)) # Concatenate all jsonl.gz files
return Dataset.from_dict(data)
# Replace 'processed_data_gz' with the folder name
def dataset_info():
return DatasetDict({
'train': load_data('/nlp/scr/xmohri/decodingthoughts/processed_data_gz'),
})
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