---
dataset_info:
  features:
  - name: tag_string
    dtype: string
  - name: month
    dtype: string
  - name: tag_count
    dtype: int64
  - name: tag_type
    dtype: string
  splits:
  - name: train
    num_bytes: 441037453
    num_examples: 9157080
  download_size: 45256839
  dataset_size: 441037453
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

## dataproc5/metrics-danbooru2025-tag-counts

```python
import unibox as ub
from dataproc5.pipelines.danbooru.nodes import count_tags_by_month

df = ub.loads("hf://trojblue/danbooru2025-metadata").to_pandas()
tag_counts = count_tags_by_month(df)
```

### **Dataset Overview**

`tag_count` provides aggregated tag usage statistics from the [Danbooru2025](https://huggingface.co/datasets/trojblue/danbooru2025-metadata) dataset. Each entry corresponds to a specific tag's usage count, grouped by month and tag type.

### **Columns**

- **`tag_string`**: The text of the tag (e.g., "landscape").

- **`month`**: The month in `YYYY-MM` format when the tag was used.

- **`tag_count`**: The total occurrences of the tag in the given month.

- **`tag_type`**: The category of the tag:

  - `"artist"`: Artist names.
  - `"character"`: Character names.
  - `"copyright"`: Copyrighted works or IPs.
  - `"general"`: General descriptive tags.
  - `"meta"`: Meta information tags.

### **Source Data**

- Derived from Danbooru2025 image metadata.
- Tags are extracted from columns: `tag_string_artist`, `tag_string_character`, `tag_string_copyright`, `tag_string_general`, and `tag_string_meta`.

<!-- BEGIN unibox_hf_autodoc -->
# dataproc5/metrics-danbooru2025-monthly-tag-counts
(Auto-generated summary)

## Basic Info:
- Shape: **9157080** rows × **4** columns
- Total Memory Usage: 1.77 GB
- Duplicates: 0 (0.00%)

## Column Stats:

Error generating stats table.

## Column Summaries:

→ tag_string (object)
  - Unique values: 859311

→ month (object)
  - Unique values: 240

→ tag_count (int64)
  - Min: 1.000, Max: 119913.000, Mean: 36.142, Std: 544.501

→ tag_type (object)
  - Unique values: 5
    - 'general': 3201711 (34.96%)
    - 'artist': 2907214 (31.75%)
    - 'character': 2413530 (26.36%)
    - 'copyright': 585905 (6.40%)
    - 'meta': 48720 (0.53%)

## Sample Rows (first 3):

```
tag_string   month  tag_count tag_type
         ! 2005-05          2  general
         ! 2005-06         16  general
         ! 2005-07         11  general
```

## Usage Example:

```python
import unibox as ub
df = ub.loads("hf://dataproc5/metrics-danbooru2025-monthly-tag-counts").to_pandas()
```

## Saving to dataset:

```python
import unibox as ub
ub.saves(df, "hf://dataproc5/metrics-danbooru2025-monthly-tag-counts")
```

(last updated: 2025-04-18 23:24:01.068022)

<!-- END unibox_hf_autodoc -->