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README.md

@@ -1,53 +1,48 @@
 ---
 language:
-- zh
+  - zh
 license: mit
 pretty_name: RedNote Covert Advertisement Detection Dataset
 tags:
-- covert advertisement detection
-- social-media
-- image-text
-- multimodal
-- RedNote
-- Xiaohongshu
+  - covert advertisement detection
+  - social-media
+  - image-text
+  - multimodal
+  - RedNote
+  - Xiaohongshu
 datasets:
-- Jingyi77/CHASM-Covert_Advertisement_on_RedNote
+  - Jingyi77/CHASM-Covert_Advertisement_on_RedNote
 dataset_info:
-- config_name: default
-  features:
-  - name: id
-    dtype: string
-  - name: title
-    dtype: string
-  - name: description
-    dtype: string
-  - name: date
-    dtype: string
-  - name: comments
-    sequence:
-      dtype: string
-  - name: images
-    sequence:
-      dtype: string
-  - name: image_count
-    dtype: int32
-  - name: label
-    dtype: int8
-  - name: split
-    dtype: string
+  - config_name: default
+    features:
+      - name: id
+        dtype: string
+      - name: title
+        dtype: string
+      - name: description
+        dtype: string
+      - name: date
+        dtype: string
+      - name: comments
+        sequence:
+          dtype: string
+      - name: images
+        sequence:
+          dtype: string
+      - name: image_count
+        dtype: int32
+      - name: label
+        dtype: int8
+      - name: split
+        dtype: string
 configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: train.parquet
-  - split: test
-    path: test.parquet
-  - split: validation
-    path: val.parquet
+  - config_name: default
+    data_files:
+      - split: default
+        path: example.parquet
+
 size_categories:
-- 1K<n<10K
-task_categories:
-- text-classification
+  - 10<n<100
 ---
 
 <!-- @format -->
@@ -65,16 +60,18 @@ This dataset contains posts from the RedNote platform for covert advertisement d
 | Test       | 1000     | 130      | 870          | 5103         |
 | **Total**  | **4992** | **613**  | **4379**     | **26324**    |
 
+> Note: The viewer shows a **small example subset** of the data (60 samples) for demonstration purposes. The complete dataset is available via WebDataset format in the repository.
+
 ## Field Descriptions
 
-Each parquet file contains the following fields:
+The example parquet file contains the following fields:
 
 - `id`: Unique identifier for each post
 - `title`: Post title
 - `description`: Post description content
 - `date`: Publication date (format: MM-DD)
 - `comments`: List of comments
-- `images`: List of images paths
+- `images`: List of base64-encoded images
 - `image_count`: Number of images
 - `label`: Label (0=non-advertisement, 1=advertisement)
 - `split`: Data split (train/validation/test)
@@ -87,7 +84,7 @@ Each parquet file contains the following fields:
 
 ## Data Format
 
-The dataset is stored in WebDataset format, with each sample containing:
+The complete dataset is stored in WebDataset format, with each sample containing:
 
 1. One or more image files (.jpg format)
 2. A JSON metadata file with the following fields:
@@ -103,17 +100,11 @@ The dataset is stored in WebDataset format, with each sample containing:
 ```python
 from datasets import load_dataset
 
-# Load training set
-train_dataset = load_dataset("Jingyi77/CHASM-Covert_Advertisement_on_RedNote", split="train")
-
-# Load validation set
-val_dataset = load_dataset("Jingyi77/CHASM-Covert_Advertisement_on_RedNote", split="validation")
-
-# Load test set
-test_dataset = load_dataset("Jingyi77/CHASM-Covert_Advertisement_on_RedNote", split="test")
+# Load example dataset
+dataset = load_dataset("Jingyi77/CHASM-Covert_Advertisement_on_RedNote")
 
 # Access a sample
-example = train_dataset[0]
+example = dataset[0]
 metadata = {
     "id": example["id"],
     "title": example["title"],
@@ -136,4 +127,4 @@ If you use this dataset in your research, please cite:
   journal = {Hugging Face Hub},
   howpublished = {\url{https://huggingface.co/datasets/Jingyi77/CHASM-Covert_Advertisement_on_RedNote}}
 }
-```
+```