Update README.md

README.md

@@ -17,3 +17,75 @@ configs:
   - split: train
     path: data/train-*
 ---
+
+Japanese construction themes FAQs scraped from [https://www.city.yokohama.lg.jp/business/bunyabetsu/kenchiku/annai/faq/qa.html](https://www.city.yokohama.lg.jp/business/bunyabetsu/kenchiku/annai/faq/qa.html).
+
+Downloaded using the following code:
+
+```python
+import requests
+from lxml import html
+import pandas as pd
+from datasets import Dataset
+
+hrefs = [
+    "/business/bunyabetsu/kenchiku/annai/faq/ji-annnai.html",
+    "/business/bunyabetsu/kenchiku/tetsuduki/kakunin/qa-kakunin.html",
+    "/business/bunyabetsu/kenchiku/tetsuduki/teikihoukoku/seido/01.html",
+    "/business/bunyabetsu/kenchiku/tetsuduki/teikihoukoku/seido/07.html",
+    "/business/bunyabetsu/kenchiku/tetsuduki/doro/qa-doro.html",
+    "/business/bunyabetsu/kenchiku/tetsuduki/doro/qa-doro.html",
+    "/business/bunyabetsu/kenchiku/bosai/kyoai/jigyou/qanda.html",
+    "/business/bunyabetsu/kenchiku/tetsuduki/kyoka/43.html",
+    "/business/bunyabetsu/kenchiku/takuchi/toiawase/keikakuho/tokeihou.html",
+    "/business/bunyabetsu/kenchiku/takuchi/toiawase/kiseiho/takuzo.html",
+    "/business/bunyabetsu/kenchiku/takuchi/toiawase/keikakuho/q4-1.html",
+    "/business/bunyabetsu/kenchiku/kankyo-shoene/casbee/hairyo/qa.html",
+    "/business/bunyabetsu/kenchiku/tetsuduki/jorei/machizukuri/fukumachiqa.html",
+    "/business/bunyabetsu/kenchiku/kankyo-shoene/chouki/qa-chouki.html",
+    "/business/bunyabetsu/kenchiku/kankyo-shoene/huuti/qa-huuchi.html",
+    "/kurashi/machizukuri-kankyo/kotsu/toshikotsu/chushajo/jorei/qa.html",
+]
+
+url_stem = "https://www.city.yokohama.lg.jp"
+
+def get_question_text(url):
+    # Send a GET request to the webpage
+    response = requests.get(url)
+
+    # Parse the HTML content
+    tree = html.fromstring(response.content)
+    
+    question_data = []
+
+    # Use XPath to find the desired elements
+    for qa_element in tree.xpath('//div[@class="contents-area"]/section'):
+        question_data.append({
+            "question": qa_element.xpath('.//div[@class="question-text"]/text()')[0],
+            "answer": "\n".join(qa_element.xpath('.//div[@class="answer-text"]/div/p/text()'))
+        })
+    
+    return question_data
+
+qa_list = []
+for href in hrefs:
+    print(href)
+    qa_list.extend(get_question_text(url_stem + href))
+
+df = pd.DataFrame(qa_list)
+
+df.question = df.question.apply(lambda x: x[len(x.split()[0]):] if " " in x[:7] or "　" in x[:7] else x)
+df.answer = df.answer.apply(lambda x: x[len(x.split()[0]):] if " " in x[:7] or "　" in x[:7] else x)
+
+df.question = df.question.str.strip()
+df.answer = df.answer.str.strip()
+
+df.question = df.question.apply(lambda x: x[:-len(x.split("＜")[-1])-1] if "＜" in x else x)
+df.answer = df.answer.apply(lambda x: x[:-len(x.split("＜")[-1])-1] if "＜" in x else x)
+
+df.question = df.question.str.strip()
+df.answer = df.answer.str.strip()
+
+Dataset.from_pandas(df).push_to_hub("lightblue/architecture_faqs")
+```
+