| # Dataset Card for Custom Text Dataset | |
| ## Dataset Name | |
| Custom Text Dataset | |
| ## Overview | |
| This dataset contains text data for training summarization models. | |
| The data is collected from CNN/daily mail. | |
| ## Composition | |
| - **Number of records**: 100 | |
| - **Fields**: `text`, `label` | |
| ## Collection Process | |
| CNN/daily mail | |
| ## Preprocessing | |
| nothing | |
| ## How to Use | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("path_to_dataset") | |
| for example in dataset["train"]: | |
| print(example["text"], example["label"]) | |
| ``` | |
| ## Evaluation | |
| This dataset is designed for evaluating summarization models. | |
| The common evaluation metric is BLEU. | |
| ## Limitations | |
| The dataset may contain outdated or biased information. | |
| Users should be aware of these limitations when using the data. | |
| ## Ethical Considerations | |
| - **Privacy**: Ensure that the data does not contain personal information. | |
| - **Bias**: Be aware of potential biases in the data. | |