Create dataset_scrape.py

dataset_scrape.py

@@ -0,0 +1,45 @@
+import time
+import requests
+import datasets
+import pandas as pd
+from tqdm.auto import tqdm
+from bs4 import BeautifulSoup
+
+
+BASE_URL = "https://learning.aljazeera.net"
+
+
+def extract_instruction(page_route, index):
+    soup = BeautifulSoup(requests.get(f"{BASE_URL}{page_route}").text, "html.parser")
+    question = soup.find("div", {"class": "ask-question"}).text.replace("السؤال :", "")
+    answer = soup.find("div", {"class": "ask-answer"}).text.replace("الجواب :", "")
+    return {
+        "instruction": question.strip(),
+        "output": answer.strip(),
+        "index": index,
+        "instruction_en": "",
+        "output_en": "",
+    }
+
+
+index = 9229
+instructions = []
+for page in tqdm(range(93), leave=93):
+    time.sleep(2)
+    soup = BeautifulSoup(
+        requests.get(f"{BASE_URL}/ar/asktheteacher?page={page}", BASE_URL).text,
+        "html.parser",
+    )
+    for href_tag in soup.find_all("a", string="الجواب"):
+        href_link = href_tag.get("href")
+        try:
+            instructions.append(
+                extract_instruction(page_route=href_link, index=str(index))
+            )
+            index += 1
+        except Exception as e:
+            print("cannot read from page route:", href_link)
+
+dataset = datasets.Dataset.from_pandas(pd.DataFrame(data=instructions))
+
+dataset.push_to_hub("AskTheTeacherDataset")