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README.md

@@ -1,66 +1,105 @@
 ---
-dataset_info:
-  features:
-  - name: image_id
-    dtype: int64
-  - name: gallery_id
-    dtype: int64
-  - name: gallery_name
-    dtype: string
-  - name: title
-    dtype: string
-  - name: photographer
-    dtype: string
-  - name: challenge
-    dtype: string
-  - name: editing_rule
-    dtype: string
-  - name: camera
-    dtype: string
-  - name: location
-    dtype: string
-  - name: date_uploaded
-    dtype: string
-  - name: place
-    dtype: float64
-  - name: total_entries
-    dtype: int64
-  - name: avg_all_users
-    dtype: float64
-  - name: avg_commenters
-    dtype: float64
-  - name: avg_participants
-    dtype: float64
-  - name: avg_nonparticipants
-    dtype: float64
-  - name: views_since_voting
-    dtype: int64
-  - name: views_during_voting
-    dtype: int64
-  - name: votes
-    dtype: int64
-  - name: comments_count
-    dtype: int64
-  - name: favorites_count
-    dtype: int64
-  - name: image_url
-    dtype: string
-  - name: has_statistics
-    dtype: bool
-  splits:
-  - name: train
-    num_bytes: 70686246.75
-    num_examples: 184982
-  - name: test
-    num_bytes: 7854197.25
-    num_examples: 20554
-  download_size: 28085111
-  dataset_size: 78540444.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+language:
+- en
+size_categories:
+- 100K<n<1M
+task_categories:
+- image-classification
+pretty_name: DPChallenge Photo Metadata Dataset
+tags:
+- photography
+- image-quality
+- human-labels
+- ratings
+- Evaluation
 ---
+
+# DPChallenge Photo Metadata Dataset
+
+## Dataset Description
+
+This dataset contains metadata and statistics from DPChallenge, a photography community platform where photographers participate in themed challenges and receive peer ratings. 
+
+**Key Features:**
+- **Valuable Human Labels**: Contains human-scored quality ratings from multiple rater groups (all users, commenters, participants, non-participants)
+- **Collection Date**: Dec 2025
+- **Data Quality**: 
+  - Only includes images with complete statistics
+  - Scores validated and corrected for parsing errors (original scrape had ~1,400 rows with incorrectly parsed scores from user comments)
+  - Score range: 2.0 - 8.6 (realistic competition scores)
+
+**Note**: In all columns, a value of `0` represents N/A (not available/not applicable).
+
+## Dataset Structure
+
+### Data Splits
+
+- **Train**: 184,982 images (90%)
+- **Test**: 20,554 images (10%)
+
+The test set is stratified by score bins (0-4, 5-6, 7-10) to ensure even distribution of image quality ratings.
+
+### Features
+
+- `image_id` (int): Unique identifier for the image
+- `gallery_id` (int): Challenge/gallery identifier
+- `gallery_name` (string): Name of the challenge/gallery
+- `title` (string): Photo title
+- `photographer` (string): Photographer username
+- `challenge` (string): Challenge theme
+- `editing_rule` (string): Editing rules (Basic/Advanced)
+- `camera` (string): Camera and lens information
+- `location` (string): Photo location
+- `date_uploaded` (string): Upload date
+- `place` (string): Additional location details
+- `total_entries` (int): Total entries in the challenge
+- `avg_all_users` (float): Average rating from all users (0-10 scale)
+- `avg_commenters` (float): Average rating from commenters
+- `avg_participants` (float): Average rating from challenge participants
+- `avg_nonparticipants` (float): Average rating from non-participants
+- `views_since_voting` (int): Views after voting period
+- `views_during_voting` (int): Views during voting period
+- `votes` (int): Number of votes received
+- `comments_count` (int): Number of comments
+- `favorites_count` (int): Number of times favorited
+- `image_url` (string): URL to the image
+- `has_statistics` (bool): Whether full statistics are available
+
+### Score Distribution
+
+The dataset uses stratified sampling based on rounded `avg_all_users` scores (the main quality metric):
+- **0-4**: Low-rated images
+- **5-6**: Medium-rated images  
+- **7-8+**: High-rated images (max score in dataset is ~8.6)
+
+Most scores fall in the 4-7 range, with very few extreme scores. This reflects real-world photography competition dynamics where truly exceptional images are rare.
+
+### Rating Statistics
+
+Statistics for human label scores across the dataset:
+
+| Metric | Min | Max | Mean | Std |
+|--------|-----|-----|------|-----|
+| `avg_all_users` | 2.00 | 8.60 | 5.45 | 0.73 |
+| `avg_commenters` | 1.00 | 10.00 | 6.28 | 1.32 |
+| `avg_participants` | 1.77 | 9.33 | 5.29 | 0.75 |
+| `avg_nonparticipants` | 1.96 | 8.62 | 5.57 | 0.74 |
+
+**Note**: `avg_all_users` is used as the primary splitting criterion for stratified train/test split to ensure balanced quality distribution.
+
+## Source Data
+
+Data scraped from [DPChallenge](https://www.dpchallenge.com/) public photo galleries. This dataset contains only metadata and statistics; images are referenced by URL.
+
+
+## Citation
+
+If you use this dataset, please cite DPChallenge as the source of the data:
+```
+DPChallenge Photography Community
+https://www.dpchallenge.com/
+```
+
+## License
+
+This dataset contains metadata from publicly available information on DPChallenge. Images remain the property of their respective photographers. Please respect copyright and usage terms.