Update README.md

README.md

@@ -1,27 +1,84 @@
----
-license: mit
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
-dataset_info:
-  features:
-  - name: images
-    sequence: string
-  - name: problem
-    dtype: string
-  - name: answer
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 477238
-    num_examples: 3000
-  - name: test
-    num_bytes: 93920
-    num_examples: 600
-  download_size: 287256
-  dataset_size: 571158
----
+---
+license: mit
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+dataset_info:
+  features:
+  - name: images
+    sequence: string
+  - name: problem
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 477238
+    num_examples: 3000
+  - name: test
+    num_bytes: 93920
+    num_examples: 600
+  download_size: 287256
+  dataset_size: 571158
+language:
+- en
+size_categories:
+- 1K<n<10K
+---
+
+Please download [images.tar](images.tar) to your local disk and use `tar -xvf images.tar` to unarchive the image files.
+
+This dataset was mixed with [hiyouga/geometry3k](https://huggingface.co/datasets/hiyouga/geometry3k) and [hiyouga/math12k](https://huggingface.co/datasets/hiyouga/math12k) using the following script.
+
+```python
+import os
+from functools import partial
+
+from datasets import DatasetDict, Features, Sequence, Value, concatenate_datasets, load_dataset
+
+
+def process_sample(example: dict, index: int, split: str):
+    if "images" in example:
+        image = example["images"][0]
+        image_path = os.path.join("images", split, f"{index}.png")
+        image.save(image_path)
+        images = [image_path]
+    else:
+        images = []
+
+    return {
+        "images": images,
+        "problem": example["problem"],
+        "answer": example["answer"],
+    }
+
+
+def main():
+    geo3k = load_dataset("hiyouga/geometry3k")
+    math12k = load_dataset("hiyouga/math12k")
+    os.makedirs(os.path.join("images", "train"), exist_ok=True)
+    os.makedirs(os.path.join("images", "test"), exist_ok=True)
+    map_kwargs = {
+        "with_indices": True,
+        "num_proc": 64,
+        "features": Features(
+            {"images": Sequence(Value("string")), "problem": Value("string"), "answer": Value("string")}
+        ),
+    }
+    geo3k_train = geo3k["train"].select(range(1500)).map(partial(process_sample, split="train"), **map_kwargs)
+    geo3k_test = geo3k["test"].select(range(300)).map(partial(process_sample, split="test"), **map_kwargs)
+    math12k_train = math12k["train"].select(range(1500)).map(partial(process_sample, split="train"), **map_kwargs)
+    math12k_test = math12k["test"].select(range(300)).map(partial(process_sample, split="test"), **map_kwargs)
+    trainset = concatenate_datasets([geo3k_train, math12k_train])
+    testset = concatenate_datasets([geo3k_test, math12k_test])
+    dataset = DatasetDict({"train": trainset, "test": testset})
+    dataset.push_to_hub("hiyouga/rl-mixed-dataset")
+
+
+if __name__ == "__main__":
+    main()
+```