Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
code
Size:
100K - 1M
License:
| from tqdm import tqdm | |
| from datasets import load_dataset, Dataset | |
| def parse_data(ds): | |
| """Parse data into markdown-code pairs""" | |
| markdowns = [] | |
| code_snippets = [] | |
| paths = [] | |
| repo_names = [] | |
| licenses = [] | |
| for i in tqdm(range(len(ds))): | |
| inner_markdowns = [] | |
| inner_code_snippets = [] | |
| types = ds[i]["types"] | |
| path = ds[i]["path"] | |
| repo = ds[i]["repo_name"] | |
| license = ds[i]["license"] | |
| if types[0] == "code": | |
| # drop first cell of code to have the notebook start with markdown | |
| cells = ds[i]["cells"][1:] | |
| types = types[1:] | |
| else: | |
| # drop first the two cells of markdown followed by code | |
| # the first markown cell of a notebook is often a long description of the whole notebook | |
| cells = ds[i]["cells"][2:] | |
| types = ds[i]["types"][2:] | |
| if len(cells) % 2 == 0: | |
| inner_markdowns = [cells[j] for j in range(len(cells)) if j % 2 == 0] | |
| inner_code_snippets = [cells[j+1] for j in range(len(cells) - 1) if j % 2 == 0] | |
| else: | |
| # delete last markdown cell that has no code next | |
| inner_markdowns = [cells[j] for j in range(len(cells) - 1) if j % 2 == 0] | |
| inner_code_snippets = [cells[j+1] for j in range(len(cells) - 2) if j % 2 == 0] | |
| markdowns.extend(inner_markdowns) | |
| code_snippets.extend(inner_code_snippets) | |
| paths.extend([path] * len(inner_markdowns)) | |
| repo_names.extend([repo] * len(inner_markdowns)) | |
| licenses.extend([license] * len(inner_markdowns)) | |
| return markdowns, code_snippets, paths, repo_names, licenses | |
| if __name__ == "__main__": | |
| ds = load_dataset("codeparrot/github-jupyter-parsed", split="train") | |
| print("Parsing data...") | |
| markdowns, code_snippets, paths, repo_names, licenses = parse_data(ds) | |
| data = {"markdown": markdowns, "code": code_snippets, "path": paths, "repo_name": repo_names, "license": licenses} | |
| parsed_data = Dataset.from_dict(data) | |
| parsed_data.push_to_hub("codeparrot/github-jupyter-parsed-v2") | |