Update README.md

README.md

@@ -144,6 +144,8 @@ size_categories:
 
 # Dataset Card for Danbooru 2025 Metadata
 
+**Current max id**: `8,877,698` (Feb.18, 2025)
+
 This dataset repo provides comprehensive, up-to-date metadata for the Danbooru booru site. All metadata was freshly scraped starting on **January 2, 2025**, resulting in more extensive tag annotations for older posts, fewer errors, and reduced occurrences of non-labelled AI-generated images in the data.
 
 ## Dataset Details
@@ -151,17 +153,13 @@ This dataset repo provides comprehensive, up-to-date metadata for the Danbooru b
 **What is this?**  
 A refreshed, Parquet-formatted metadata dump of Danbooru, current as of January 2, 2025.
 
-**Why this over other Danbooru scrapes?**  
-- **Fresh Metadata:** Coverage includes post IDs from 1 through ~8.6M, with the newest vocabulary and tag annotations.  
-- **Maximized Tag Count:** Many historical tag renames and additions are accurately reflected, reducing duplications for downstream tasks.  
-- **Reduced Noise:** Fewer untagged or mislabeled AI images compared to older scrapes.
 
-**Tag Comparisons**  
-[TODO: Contrast the tag counts, deleted entries, etc. with other Danbooru metadata scrapes.]
+**Why choose this over other Danbooru scrapes?**
+
+The dataset includes all available metadata in one place, eliminating the need to gather and merge data from multiple sources manually.
+
+It features more annotations and fewer untagged or mislabeled AI-generated images than older scrapes. Additionally, historical tag renames and additions are accurately reflected, ensuring easier and more reliable downstream use.
 
-- **Shared by:** [trojblue](https://huggingface.co/trojblue)  
-- **Language(s) (NLP):** English, Japanese  
-- **License:** MIT  
 
 ## Uses
 
@@ -174,22 +172,11 @@ danbooru_dataset = load_dataset("trojblue/danbooru2025-metadata", split="train")
 df = danbooru_dataset.to_pandas()
 ```
 
-This dataset can be used to:
-- Retrieve the full Danbooru image set via the metadata’s URLs
-- Train or fine-tune an image tagger
-- Compare against previous metadata versions to track changes, tag evolution, and historical trends
-
 
 ## Dataset Structure
 
 Below is a partial overview of the DataFrame columns, derived directly from the Danbooru JSONs:
 
-
-```python
-import unibox as ub
-ub.peeks(df)
-```
-
 ```
 (8616173, 59)
 Index(['approver_id', 'bit_flags', 'created_at', 'down_score', 'fav_count',