Update README.md

README.md

@@ -25,68 +25,60 @@ task_categories:
 language:
 - zh
 tags:
-- llama3.1-8B
+- Erotic-literature
 size_categories:
 - 10M<n<100M
 ---
 
 
-# Dataset Card for Your Dataset
+# Dataset Card for Erotic Literature in Chinese
 
-## Overview
+## Dataset Summary
 
-This dataset is designed for text generation tasks and is available in Chinese (zh). It is structured into two primary splits: a training set and a test set. The data is conducive for tasks like language modeling and text generation, specifically optimized for models such as LLaMA 3.1 with 8 billion parameters.
+This dataset is a collection of erotic literature in Chinese, compiled for the purpose of text generation tasks. It is divided into two splits: a training set and a test set, allowing for model training and evaluation. The dataset is of moderate size, suitable for projects working on text-based AI models, particularly focusing on the genre of erotic literature.
 
-### Dataset Details
+## Dataset Details
 
-- **Language:** Chinese (zh)
-- **Task Category:** Text Generation
-- **Size Category:** Medium (10M < n < 100M)
-- **License:** MIT
+- **Language**: Chinese (zh)
+- **License**: MIT
+- **Task Category**: Text Generation
+- **Tags**: Erotic-literature
+- **Size Category**: 10M<n<100M
 
-### Dataset Splits
+### Dataset Configuration
 
-The dataset is split into training and test subsets:
+- **Configuration Name**: Default
+  - The dataset consists of multiple parts for each split.
+  - **Data Files**: 
+    - Training files: `data/train-*`
+    - Test files: `data/test-*`
 
-- **Train Split:**
-  - Number of Examples: 10,557
-  - Data Size: Approximately 321.49 MB
-
-- **Test Split:**
-  - Number of Examples: 100
-  - Data Size: Approximately 3.05 MB
-
-### Data Structure
-
-The primary feature in this dataset is:
-- **Text:** A string dtype representing text samples suitable for training and evaluation in text generation models.
+### Dataset Size
 
-### Data Files
+- **Download Size**: Approximately 199.5 MB
+- **Dataset Size**: Approximately 324.5 MB
 
-- **Train Data Files:** Located at paths like `data/train-*`, the training subset files are segmented for compatibility and ease of processing.
-- **Test Data Files:** Located at paths like `data/test-*`, the test subset is similarly structured for efficient evaluation.
+### Splits
 
-### Download and Dataset Size
-
-- **Download Size:** 199.55 MB
-- **Total Dataset Size:** 324.53 MB
+- **Train Split**: 
+  - Number of Examples: 10,557
+  - Total Bytes: ~321.49 MB
+- **Test Split**: 
+  - Number of Examples: 100
+  - Total Bytes: ~3.05 MB
 
 ## Usage
 
-This dataset can be used to train and evaluate models in natural language processing, specifically focusing on generating coherent and contextually relevant text in Chinese. 
-
-### Ideal Use Cases
-
-- Training autoregressive language models
-- Fine-tuning existing language generation models
-- Benchmarking text generation capabilities in natural language processing systems
+Given its nature, this dataset is designed for creating and tuning AI models with capabilities in generating or understanding erotic literature in Chinese. It can be utilized for research in machine learning, natural language processing, and AI applications that require large, themed text datasets.
 
-## Acknowledgements
+## Considerations
 
-This dataset is provided under the MIT license, allowing flexibility for modifications and usage in both academic and commercial applications.
+- **Ethical Considerations**: Users should be aware of the ethical implications and societal impact of working with adult content. It is important to ensure this dataset is used responsibly and complies with relevant laws and regulations.
+  
+- **Limitations**: Be conscious of biases that can arise from the nature of the text. Models trained on such data may need additional tuning or filtering to be applicable to broader or alternative applications.
 
-## Additional Information
+## How to Access
 
-- **Tags:** Particularly well suited for the LLaMA 3.1-8B model setup, indicating its relevancy for models requiring similar scale and complexity.
+The dataset can be accessed via downloading the files described in the configuration section. Ensure to comply with the MIT license terms when using this dataset in applications or research.
 
-This card serves as a comprehensive guide and reference for utilizing this dataset in various NLP projects, ensuring it meets specific project needs related to training and testing automated text generation systems.
+For further details or questions about this dataset, users should refer to the relevant sections of the providing platform or contact repository maintainers.