Add dataset files

LICENSE

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+<!-- @format -->
+
+MIT License
+
+Copyright (c) 2024 Jingyi Zheng
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+language:
+  - zh
+license:
+  - mit
+multilinguality:
+  - monolingual
+size_categories:
+  - 1K<n<10K
+source_datasets:
+  - original
+task_categories:
+  - text-classification
+task_ids:
+  - sentiment-classification
+---
+
+<!-- @format -->
+
+# CHASM: Covert Advertisement on RedNote Dataset
+
+A dataset containing posts from Xiaohongshu (RedNote) for text classification tasks, specifically focused on identifying covert advertisements.
+
+## Dataset Description
+
+- **Task Type**: Text Classification
+- **Language**: Chinese
+- **License**: MIT
+- **Dataset Size**: Contains two classes (label_0 and label_1)
+
+### Dataset Structure
+
+Each data sample contains the following fields:
+
+- `title`: Post title
+- `description`: Post description
+- `date`: Publication date and location
+- `comments`: List of comments
+- `image`: List of image filenames
+- `label`: Classification label (0 or 1)
+
+### Data Example
+
+```json
+{
+    "title": "Sample Title",
+    "description": "Sample Description",
+    "date": "09-13 Location",
+    "comments": ["Comment 1", "Comment 2", ...],
+    "image": ["image1.webp", "image2.webp", ...],
+    "label": 0
+}
+```
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("Jingyi77/CHASM-Covert_Advertisement_on_RedNote")
+
+# View dataset information
+print(dataset)
+
+# Access data
+print(dataset['label_0'][0])  # View first data point from label_0
+print(dataset['label_1'][0])  # View first data point from label_1
+```
+
+## Data Preprocessing
+
+- Image paths have been simplified to filenames only
+- All sensitive information (phone numbers, ID numbers, etc.) has been anonymized
+- Dates and locations have been partially anonymized
+
+## Notes
+
+1. Image files need to be downloaded and processed separately
+2. Comments may contain sensitive content, please use with caution
+3. All temporal information has been anonymized
+4. This dataset is specifically designed for research on covert advertisement detection
+
+## Dataset Creation
+
+The dataset was created by collecting and processing posts from Xiaohongshu (RedNote). Each post was manually labeled to identify covert advertisements. The dataset has been carefully anonymized to protect user privacy while maintaining the essential characteristics needed for research purposes.

label_0/test_0/data.json

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label_0/test_1/data.json

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label_0/test_100/data.json

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label_0/test_101/data.json

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label_0/test_103/data.json

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