| # Dataset Card for Custom Text Dataset | |
| ## Dataset Name | |
| Custom Text Dataset | |
| ## Overview | |
| This dataset contains text data for training language models. | |
| The data is collected from various sources, including books, articles, | |
| and web pages. | |
| ## Composition | |
| - **Number of records**: 101 | |
| - **Fields**: `sentence`, `labels` | |
| - **Size**: 510 KB | |
| ## Collection Process | |
| The data was collected using web scraping and manual extraction | |
| from public domain sources. | |
| ## Preprocessing | |
| - Removed HTML tags and special characters | |
| - Tokenized text into sentences | |
| ## How to Use | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("path_to_dataset") | |
| for example in dataset["train"]: | |
| print(example["sentence"]) | |
| ``` | |
| ## Evaluation | |
| This dataset is designed for evaluating text generation models. | |
| Common evaluation metrics include ROUGE and 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| The dataset may contain outdated or biased information.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. | |