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