diff --git a/README.md b/README.md
index 7be5fc7f47d5db027d120b8024982df93db95b74..703e04f86b7fdd5d4c539b7a68c5d1bd0ffea038 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,30 @@
 ---
 license: mit
+task_categories:
+- image-text-to-text
+tags:
+- image
+language:
+- en
+size_categories:
+- 100K<n<1M
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train/*
 ---
+
+# sbuCaptions
+
+SBU captions :images and captions
+
+[Original Source](https://www.kaggle.com/datasets/akashnuka/sbucaptions)
+
+## 📌 Introduction
+
+This dataset collects the images and annotations from the original SBUcaptions project.
+
+## 🙏 Acknowledgement
+
+All credits to the original SBUcaptions project teams.
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diff --git a/make_sbucaptions.py b/make_sbucaptions.py
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+++ b/make_sbucaptions.py
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+import json
+import os
+import glob
+
+from datasets import Dataset, Image
+
+
+def main():
+    workdir = "./sbu_captions"
+    list_images = sorted(glob.glob(os.path.join(workdir, "**", "*.jpg"), recursive=True))
+
+    def gen():
+        for image_fn in list_images:
+            js_fn = image_fn.replace(".jpg", ".json")
+            with open(js_fn, "r", encoding="utf8") as reader:
+                item = json.load(reader)
+            for key in ["status", "error_message", "original_width", "original_height", "exif", "sha256"]:
+                item.pop(key, None)
+            item["image"] = image_fn
+            item["filename"] = image_fn.replace(f"{workdir}/", "")
+            yield item
+            
+    ds = Dataset.from_generator(gen)
+    ds = ds.cast_column("image", Image())
+    ds.save_to_disk(f"{workdir}/datasets/data/train", max_shard_size="400MB")
+    return
+
+
+if __name__ == "__main__":
+    main()