add preprocessing file

preprocessing.py

@@ -0,0 +1,49 @@
+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")