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---
language:
- ko
dataset_info:
features:
- name: index
dtype: int64
- name: question
dtype: string
- name: image
dtype: image
- name: answer
dtype: string
splits:
- name: val
num_bytes: 44929881.5
num_examples: 1500
download_size: 41874768
dataset_size: 44929881.5
configs:
- config_name: default
data_files:
- split: val
path: data/val-*
---
[NCSOFT/K-MMStar](https://huggingface.co/datasets/NCSOFT/K-MMStar) 를 쓰기 좋게 바꾸어놓았습니다.
아래 코드를 이용하였습니다.
```python
from datasets import load_dataset, DatasetDict, Dataset
from huggingface_hub import login; login(token="YOUR TOKEN")
dataset = load_dataset("NCSOFT/K-MMStar")
def preprocess_dataset(examples):
processed_examples = {
"index": examples["index"],
"image": examples["image"],
"answer": examples["answer"]
}
processed_examples["question"] = [
q.replace("<image>", "").strip() for q in examples["question"]
]
return processed_examples
processed_dataset = DatasetDict()
for split, dataset_split in dataset.items():
processed_dataset[split] = dataset_split.map(
preprocess_dataset,
batched=True,
remove_columns=["category", "l2_category", "meta_info"]
)
processed_dataset.push_to_hub(
"Ryoo72/K-MMStar",
private=False
)
```
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