| --- |
| dataset_info: |
| features: |
| - name: id |
| dtype: int32 |
| - name: image |
| dtype: image |
| - name: conversations |
| list: |
| - name: role |
| dtype: string |
| - name: content |
| dtype: string |
| - name: metadata |
| struct: |
| - name: doc_title |
| dtype: string |
| - name: publisher |
| dtype: string |
| - name: publish_year |
| dtype: string |
| - name: table_type |
| dtype: string |
| - name: table_field |
| dtype: string |
| - name: table_unit |
| dtype: string |
| - name: table_title |
| dtype: string |
| - name: table_header |
| dtype: string |
| - name: table_row_number |
| dtype: int32 |
| - name: table_column_number |
| dtype: int32 |
| - name: table_header_bold |
| dtype: string |
| - name: table_background |
| dtype: string |
| - name: html_path |
| dtype: string |
| - name: width |
| dtype: int32 |
| - name: height |
| dtype: int32 |
| - name: summary |
| list: string |
| - name: html |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 40931400228.0 |
| num_examples: 323264 |
| - name: validation |
| num_bytes: 4185978223.25 |
| num_examples: 40406 |
| download_size: 38033928568 |
| dataset_size: 45117378451.25 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| --- |
| 이거 HTML 데이터 Naver-OCR 이용해서 만든 데이터임. HTML 한정 부정확한 데이터가 있을 수 있음. |
| llava 학습 할 때의 recap 데이터로 활용할 수 있지? 있을 듯? |
