Update README.md

README.md

@@ -141,79 +141,94 @@ pretty_name: Danbooru 2025 Metadata
 size_categories:
 - 1M<n<10M
 ---
-# Dataset Card for Danbooru 2025 Metadata
 
-**Latest Post ID**: 9,158,800 (as of Apr 16, 2025)
+<p align="center"> 
+  <img src="https://huggingface.co/datasets/trojblue/danbooru2025-metadata/resolve/main/57931572.png" alt="Danbooru Logo" width="120"/> 
+</p> 
 
-This repository provides a comprehensive, up-to-date metadata dump for Danbooru. The metadata was freshly scraped starting January 2, 2025, featuring more extensive tag annotations for older posts, fewer errors, and fewer unlabeled AI-generated images compared to previous scrapes.
+<h1 align="center">🎨 Danbooru 2025 Metadata</h1> 
 
-## Dataset Details
+<p align="center">
+  <strong>Latest Post ID:</strong> <code>9,158,800</code><br/>
+  <em>(as of Apr 16, 2025)</em>
+</p>
 
-**Overview**
-Danbooru is a well-known imageboard focusing on anime-style artwork, hosting millions of user-submitted images with extensive tagging. This dataset offers metadata (in Parquet format) for all posts up to the specified date, including details such as tags, upload timestamps, and file properties.
+---
+
+📁 **About the Dataset**  
+This dataset provides structured metadata for user-submitted images on **Danbooru**, a large-scale imageboard focused on anime-style artwork.
+
+Scraping began on **January 2, 2025**, and the data are stored in **Parquet** format for efficient programmatic access.  
+Compared to earlier versions, this snapshot includes:
+
+- More consistent tag history tracking  
+- Better coverage of older or previously skipped posts  
+- Reduced presence of unlabeled AI-generated entries
+
+---
+
+## Dataset Overview
+
+Each row corresponds to a Danbooru post, with fields including:
+
+- Tag list (both general and system-specific)
+- Upload timestamp
+- File details (size, extension, resolution)
+- User stats (favorites, score, etc.)
 
-**Key Advantages**
+The schema follows Danbooru’s public API structure, and should be familiar to anyone who has worked with their JSON output.
 
-- **Consolidated Metadata**: All available metadata is contained within this single dataset, eliminating the need to merge multiple partial scrapes.
-- **Improved Tag Accuracy**: Historical tag renames and additions are accurately reflected, reducing the potential mismatch or redundancy often found in older metadata dumps.
-- **Less AI Noise**: Compared to many legacy scrapes, the 2025 data incorporates updated annotations and filters out many unlabeled AI-generated images.
+**File Format**
 
-## Usage
+The metadata are stored in a flat table. Nested dictionaries have been flattened using a consistent naming scheme (`parentkey_childkey`) to aid downstream use in ML pipelines or indexing tools.
 
-You can load and filter this dataset using the Hugging Face `datasets` library:
+---
+
+## Access & Usage
+
+You can load the dataset via the Hugging Face `datasets` library:
 
 ```python
 from datasets import load_dataset
-
 danbooru_metadata = load_dataset("trojblue/danbooru2025-metadata", split="train")
 df = danbooru_metadata.to_pandas()
 ```
 
-This metadata can be used for research, indexing, or as a foundation for building image-based machine learning pipelines. However, please be mindful of any copyright, content, or platform-specific policies.
+Potential use cases include:
 
-## Dataset Structure
+- Image retrieval systems
+- Text-to-image alignment tasks
+- Dataset curation or filtering
+- Historical or cultural analysis of trends in tagging
 
-The metadata schema is closely aligned with Danbooru’s JSON structure, ensuring familiarity for those who have used other Danbooru scrapes. Below are the main columns:
+Be cautious if working in public settings. The dataset contains adult content.
 
-```
-Index([
-  'approver_id', 'bit_flags', 'created_at', 'down_score', 'fav_count',
-  'file_ext', 'file_size', 'file_url', 'has_active_children', 'has_children',
-  'has_large', 'has_visible_children', 'id', 'image_height', 'image_width',
-  'is_banned', 'is_deleted', 'is_flagged', 'is_pending', 'large_file_url',
-  'last_comment_bumped_at', 'last_commented_at', 'last_noted_at', 'md5',
-  'media_asset_created_at', 'media_asset_duration', 'media_asset_file_ext',
-  'media_asset_file_key', 'media_asset_file_size', 'media_asset_id',
-  'media_asset_image_height', 'media_asset_image_width',
-  'media_asset_is_public', 'media_asset_md5', 'media_asset_pixel_hash',
-  'media_asset_status', 'media_asset_updated_at', 'media_asset_variants',
-  'parent_id', 'pixiv_id', 'preview_file_url', 'rating', 'score', 'source',
-  'tag_count', 'tag_count_artist', 'tag_count_character',
-  'tag_count_copyright', 'tag_count_general', 'tag_count_meta', 'tag_string',
-  'tag_string_artist', 'tag_string_character', 'tag_string_copyright',
-  'tag_string_general', 'tag_string_meta', 'up_score', 'updated_at',
-  'uploader_id'
-], dtype='object')
-```
+---
 
-## Dataset Creation
+## Notable Characteristics
 
-**Scraping Process**
+- **Single-Snapshot Coverage**: All posts up to the stated ID are included. No need to merge partial scrapes.
+- **Reduced Tag Drift**: Many historic tag renames and merges are reflected correctly.
+- **Filtered AI-Generated Posts**: Some attempts were made to identify and exclude unlabeled AI-generated entries, though the process is imperfect.
 
-- Post IDs from 1 to the latest ID (9,158,800) were retrieved using a distributed scraping approach.
-- Certain restricted tags (e.g., `loli`) are inaccessible without special permissions and are therefore absent in this dataset.
-- If you require more comprehensive metadata (including hidden or restricted tags), consider merging this data with older scrapes such as Danbooru2021.
+Restricted tags (e.g., certain content filters) are inaccessible without privileged API keys and are therefore missing here. 
 
-Below is a simplified example of how the raw JSON was converted into a flattened Parquet file:
+If you need metadata with those tags, you’ll need to integrate previous datasets (such as Danbooru2021) and resolve inconsistencies manually.
+
+---
+
+## Code: Flattening the JSON
+
+Included below is a simplified example showing how the raw JSON was transformed:
 
 ```python
 import pandas as pd
 from pandarallel import pandarallel
 
+# Initialize multiprocessing
 pandarallel.initialize(nb_workers=4, progress_bar=True)
 
 def flatten_dict(d, parent_key='', sep='_'):
-    """Recursively flattens a nested dictionary."""
     items = []
     for k, v in d.items():
         new_key = f"{parent_key}{sep}{k}" if parent_key else k
@@ -226,27 +241,99 @@ def flatten_dict(d, parent_key='', sep='_'):
     return dict(items)
 
 def extract_all_illust_info(json_content):
-    """Parses and flattens Danbooru JSON into a pandas Series."""
-    flattened_data = flatten_dict(json_content)
-    return pd.Series(flattened_data)
+    return pd.Series(flatten_dict(json_content))
 
 def dicts_to_dataframe_parallel(dicts):
-    """Converts a list of dicts to a flattened DataFrame using pandarallel."""
     df = pd.DataFrame(dicts)
-    flattened_df = df.parallel_apply(lambda row: extract_all_illust_info(row.to_dict()), axis=1)
-    return flattened_df
+    return df.parallel_apply(lambda row: 
+
+extract_all_illust_info(row.to_dict()), axis=1)
 ```
 
-## Considerations & Recommendations
+---
+
+## Warnings & Considerations
+
+- **NSFW Material**: Includes sexually explicit tags or content. Do not deploy without clear filtering and compliance checks.
+- **Community Bias**: Tags are user-generated and reflect collective subjectivity. Representation may skew or omit.
+- **Data Licensing**: Image rights remain with original uploaders. This dataset includes metadata only, not media. Review Danbooru’s [Terms of Service](https://danbooru.donmai.us/static/terms_of_service) for reuse constraints.
+- **Missing Content**: Posts with restricted tags or deleted content may appear with incomplete fields or be absent entirely.
+
+---
+
+## Column Summaries (Sample — Apr 16, 2025)
+
+Full schema and additional statistics are viewable on the Hugging Face Dataset Viewer.
+
+### File Information
+- **file_url**: 8.8 million unique file links  
+- **file_ext**: 9 file types  
+  - `'jpg'`: 73.3%  
+  - `'png'`: 25.4%  
+  - Other types (`mp4`, `gif`, `zip`, etc.): <1.5% combined  
+- **file_size** and **media_asset_file_size** (bytes):  
+  - Min: 49  
+  - Max: ~106MB  
+  - Avg: ~1.5MB
+
+### Image Dimensions
+- **image_width**:  
+  - Min: 1 px  
+  - Max: 35,102 px  
+  - Mean: 1,471 px  
+- **image_height**:  
+  - Min: 1 px  
+  - Max: 54,250 px  
+  - Mean: 1,760 px
+
+(Note: extremely small dimensions may indicate deleted or broken images.)
+
+### Scoring and Engagement
+- **score** (net = up − down):  
+  - Min: −167  
+  - Max: 2,693  
+  - Mean: 26.15  
+- **up_score**:  
+  - Max: 2,700  
+  - Mean: 25.87  
+- **down_score**:  
+  - Min: −179  
+  - Mean: −0.24  
+- **fav_count**:  
+  - Max: 4,458  
+  - Mean: 32.49
+
+### Rating and Moderation
+- **rating**:
+  - `'s'` (safe): 49.5%  
+  - `'g'` (general but not safe): 29.4%  
+  - `'q'` (questionable): 11.2%  
+  - `'e'` (explicit): 9.8%  
+- **is_banned**: 1.13% true  
+- **is_deleted**: 5.34% true  
+- **is_flagged / is_pending**: <0.01% true (rare moderation edge-cases)
+
+### Children & Variations
+- **has_children**: 10.7%  
+- **has_active_children**: 10.0%  
+- **has_visible_children**: 10.3%  
+- **has_large**: 70.6% of posts are linked to full-res versions
+
+### Tag Breakdown
+(Tag counts are per post; some posts may have hundreds.)
 
-- **Adult/NSFW Content**: Danbooru includes adult imagery and explicit tags. Exercise caution, especially if sharing or using this data in public-facing contexts.
-- **Licensing & Copyright**: Images referenced by this metadata may be copyrighted. Refer to Danbooru’s Terms of Service and respect artists’ rights.
-- **Potential Bias**: Tags are community-curated and can reflect the inherent biases of the user base (e.g., under- or over-tagging certain categories).
-- **Missing or Restricted Tags**: Some tags require special permissions on Danbooru; hence they do not appear in this dataset.
+- **tag_count** (total tags):  
+  - Avg: 36.3  
+- **tag_count_artist**: 0.99 avg  
+- **tag_count_character**: 1.62 avg  
+- **tag_count_copyright**: 1.39 avg  
+- **tag_count_general**: 30.0 avg  
+- **tag_count_meta**: 2.3 avg  
 
-For further integration of historical data, consider merging with previous Danbooru scrapes.
- If you use this dataset in research or production, please cite appropriately and abide by all relevant terms and conditions.
+Some outliers contain hundreds of tags—up to 1,250 in total on rare posts.
 
-------
+### Other Fields
+- **uploader_id** (anonymized integer ID)  
+- **updated_at** (timestamp) — nearly every post has a unique update time
 
-*Last Updated: February 18, 2025*
+(last updated: 2025-04-16 12:15:29.262308)