From d047a5c8f0047ec7953e8850597e62dfdfdd93d5 Mon Sep 17 00:00:00 2001
From: pks <pks@pks.rocks>
Date: Sun, 30 Nov 2025 21:21:10 +0100
Subject: make_dataset script

---
 make_dataset.py | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)
 create mode 100755 make_dataset.py

diff --git a/make_dataset.py b/make_dataset.py
new file mode 100755
index 0000000..a3ce0ab
--- /dev/null
+++ b/make_dataset.py
@@ -0,0 +1,27 @@
+#!/usr/bin/env python
+
+import json
+
+from datasets import Dataset, Image
+from glob import glob
+
+
+def make_dataset(base="./baseline"):  # TODO: Make actual hf dataset
+    prompt = "You are a professional English-German translator and also a renowned photography critic.\n\nWrite a detailed caption for this image in a single sentence. Translate the caption into German. The output needs to be JSON, the keys being 'English' and 'German' for the respective captions. Only output the JSON, nothing else." + "<start_of_image>"
+    user_prompts = []
+    images = []
+    assistant_replies = []
+    for filename in glob(f"{base}/*.jsonl"):
+        with open(filename, "r") as f:
+            data = json.loads(f.read())
+        image_path = f"../d/Images/{os.path.basename(filename).removesuffix(".jsonl")}.jpg"
+        user_prompts.append(prompt)
+        assistant_replies.append(json.dumps({
+            "English": data["English"],
+            "German": data["Translation"],
+        }, ensure_ascii=False, indent=0))
+        images.append(image_path)
+
+    return Dataset.from_dict({"image": images, "user": user_prompts, "assistant": assistant_replies}).cast_column("image", Image())
+
+dataset = make_dataset()
-- 
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