| 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 | |
| ) | |
| ``` | |