---
dataset_info:
  features:
  - name: images
    list: image
  - name: texts
    list:
    - name: assistant
      dtype: string
    - name: source
      dtype: string
    - name: user
      dtype: string
  splits:
  - name: train
    num_bytes: 11515853.0
    num_examples: 50
  download_size: 11496341
  dataset_size: 11515853.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

## How was it built?

```py
dataset = load_dataset("HuggingFaceM4/the_cauldron", "ai2d", split="train", streaming=True)
dataset_iter = iter(dataset)
sliced_dataset = []
for i in range(50):
    sliced_dataset.append(next(dataset_iter))

ds = Dataset.from_list(sliced_dataset)
ds.push_to_hub("ariG23498/the_cauldron_ai2d_sliced")
```