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-markdown-to-code")