Datasets:
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import subprocess
from datasets import load_dataset, Dataset
import json
from tqdm import tqdm
ds = load_dataset("bigcode/the-stack-smol", data_dir='data/typescript')
def split_ts_into_chunks(ts_code):
result = subprocess.run(
['node', 'parse_ts.js'],
input=ts_code,
text=True,
)
if result.returncode != 0:
raise Exception('Error in TypeScript parsing')
with open('semantic_chunks.jsonl', 'r') as file:
lines = file.read().splitlines()
chunks = [json.loads(line) for line in lines]
with open('semantic_chunks.jsonl', 'w'):
pass
return chunks
def chunk_ts_file(data):
funcs = split_ts_into_chunks(data['content'])
for i in range(len(funcs)):
funcs[i]['repo'] = data['repository_name']
funcs[i]['path'] = data['path']
funcs[i]['language'] = data['lang']
return funcs
chunks = []
for i in tqdm(range(len(ds['train']))):
chunk = chunk_ts_file(ds['train'][i])
chunks +=(chunk)
if i%100 == 0:
print(len(chunks))
dataset = Dataset.from_list(chunks)
print(dataset)
dataset.to_json('ts-chunks.json')
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