| --- |
| language: |
| - th |
| dataset_info: |
| features: |
| - name: text |
| dtype: string |
| - name: ข้อความ |
| dtype: string |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': neg |
| '1': pos |
| --- |
| ### รีวิว sentimental imdb ภาษาไทย |
| ตั้งต้นจาก https://huggingface.co/datasets/stanfordnlp/imdb |
|
|
| ### label |
| * 0 neg |
| * 1 pos |
|
|
| * train.csv |
| * test.csv |
|
|
| ### ตัวอย่างการใช้งาน |
| ``` |
| from datasets import load_dataset |
| |
| # Specify the data files |
| data_files = { |
| "test": "test.csv", |
| "train": "train.csv" |
| } |
| dataset = load_dataset("uisp/ag_news_th", data_files=data_files) |
| |
| print("Keys in loaded dataset:", dataset.keys()) # Should show keys for splits, like {'test', 'train'} |
| |
| # Convert a split to pandas for further processing |
| test = dataset['test'].to_pandas() |
| print(test.head()) |
| print(len(test.index)) |
| |
| train = dataset['train'].to_pandas() |
| train.dropna(inplace=True) # เอาตัวที่ยังไม่ได้แปล (column ข้อความ ว่างเปล่า) ออกไป |
| print(train.head()) |
| print(len(train.index))``` |
|
|