Update README.md

README.md

@@ -130,4 +130,698 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: mit
+task_categories:
+- text-to-image
+- image-classification
+language:
+- en
+- ja
+pretty_name: Danbooru 2025 Metadata
+size_categories:
+- 1M<n<10M
 ---
+
+# Dataset Card for Danbooru 2025 Metadata
+
+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
+
+**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.]
+
+- **Shared by:** [trojblue](https://huggingface.co/trojblue)  
+- **Language(s) (NLP):** English, Japanese  
+- **License:** MIT  
+
+## Uses
+
+
+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
+
+This dataset can be loaded or filtered with the Huggingface `datasets` library:
+
+```python
+from datasets import Dataset, load_dataset
+
+danbooru_dataset = load_dataset("trojblue/danbooru2025-metadata", split="train")
+df = danbooru_dataset.to_pandas()
+```
+
+
+## Dataset Structure
+
+Below is a partial overview of the DataFrame columns, derived directly from the Danbooru JSONs:
+
+**column values preview:**
+
+```python
+import unibox as ub
+ub.peeks(df)
+```
+
+```
+(8616173, 59)
+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')
+```
+
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>approver_id</th>
+      <th>bit_flags</th>
+      <th>created_at</th>
+      <th>down_score</th>
+      <th>fav_count</th>
+      <th>file_ext</th>
+      <th>file_size</th>
+      <th>file_url</th>
+      <th>has_active_children</th>
+      <th>has_children</th>
+      <th>...</th>
+      <th>tag_count_meta</th>
+      <th>tag_string</th>
+      <th>tag_string_artist</th>
+      <th>tag_string_character</th>
+      <th>tag_string_copyright</th>
+      <th>tag_string_general</th>
+      <th>tag_string_meta</th>
+      <th>up_score</th>
+      <th>updated_at</th>
+      <th>uploader_id</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>NaN</td>
+      <td>0</td>
+      <td>2015-08-07T23:23:45.072-04:00</td>
+      <td>0</td>
+      <td>66</td>
+      <td>jpg</td>
+      <td>4134797</td>
+      <td>https://cdn.donmai.us/original/a1/b3/a1b3d0fa9...</td>
+      <td>False</td>
+      <td>False</td>
+      <td>...</td>
+      <td>3</td>
+      <td>1girl absurdres ass bangle bikini black_bikini...</td>
+      <td>kyouka.</td>
+      <td>marie_(splatoon)</td>
+      <td>splatoon_(series) splatoon_1</td>
+      <td>1girl ass bangle bikini black_bikini blush bra...</td>
+      <td>absurdres commentary_request highres</td>
+      <td>15</td>
+      <td>2024-06-25T15:32:44.291-04:00</td>
+      <td>420773</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>NaN</td>
+      <td>0</td>
+      <td>2008-03-05T01:52:28.194-05:00</td>
+      <td>0</td>
+      <td>7</td>
+      <td>jpg</td>
+      <td>380323</td>
+      <td>https://cdn.donmai.us/original/d6/10/d6107a13b...</td>
+      <td>False</td>
+      <td>False</td>
+      <td>...</td>
+      <td>2</td>
+      <td>1girl aqua_hair bad_id bad_pixiv_id guitar hat...</td>
+      <td>shimeko</td>
+      <td>hatsune_miku</td>
+      <td>vocaloid</td>
+      <td>1girl aqua_hair guitar instrument long_hair so...</td>
+      <td>bad_id bad_pixiv_id</td>
+      <td>4</td>
+      <td>2018-01-23T00:32:10.080-05:00</td>
+      <td>1309</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>85307.0</td>
+      <td>0</td>
+      <td>2015-08-07T23:26:12.355-04:00</td>
+      <td>0</td>
+      <td>10</td>
+      <td>jpg</td>
+      <td>208409</td>
+      <td>https://cdn.donmai.us/original/a1/2c/a12ce629f...</td>
+      <td>False</td>
+      <td>False</td>
+      <td>...</td>
+      <td>1</td>
+      <td>1boy 1girl blush boots carrying closed_eyes co...</td>
+      <td>yuuryuu_nagare</td>
+      <td>jon_(pixiv_fantasia_iii) race_(pixiv_fantasia)</td>
+      <td>pixiv_fantasia pixiv_fantasia_3</td>
+      <td>1boy 1girl blush boots carrying closed_eyes da...</td>
+      <td>commentary_request</td>
+      <td>3</td>
+      <td>2022-05-25T02:26:06.588-04:00</td>
+      <td>95963</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+
+
+**memory size preview**:
+
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>Column</th>
+      <th>Memory Usage</th>
+      <th>Readable Memory Usage</th>
+      <th>Dtype</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>37</th>
+      <td>media_asset_variants</td>
+      <td>6504773310</td>
+      <td>6.06 GB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>50</th>
+      <td>tag_string</td>
+      <td>4010312632</td>
+      <td>3.73 GB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>54</th>
+      <td>tag_string_general</td>
+      <td>3219096004</td>
+      <td>3.00 GB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>19</th>
+      <td>large_file_url</td>
+      <td>1120901064</td>
+      <td>1.04 GB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>7</th>
+      <td>file_url</td>
+      <td>1091768146</td>
+      <td>1.02 GB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>40</th>
+      <td>preview_file_url</td>
+      <td>1083377159</td>
+      <td>1.01 GB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>43</th>
+      <td>source</td>
+      <td>1028480196</td>
+      <td>980.84 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>34</th>
+      <td>media_asset_pixel_hash</td>
+      <td>766839397</td>
+      <td>731.32 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>33</th>
+      <td>media_asset_md5</td>
+      <td>749456967</td>
+      <td>714.74 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>23</th>
+      <td>md5</td>
+      <td>749456967</td>
+      <td>714.74 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>created_at</td>
+      <td>740990878</td>
+      <td>706.66 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>36</th>
+      <td>media_asset_updated_at</td>
+      <td>740990878</td>
+      <td>706.66 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>24</th>
+      <td>media_asset_created_at</td>
+      <td>740990878</td>
+      <td>706.66 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>57</th>
+      <td>updated_at</td>
+      <td>740990878</td>
+      <td>706.66 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>52</th>
+      <td>tag_string_character</td>
+      <td>735974700</td>
+      <td>701.88 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>55</th>
+      <td>tag_string_meta</td>
+      <td>734235943</td>
+      <td>700.22 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>53</th>
+      <td>tag_string_copyright</td>
+      <td>664510146</td>
+      <td>633.73 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>51</th>
+      <td>tag_string_artist</td>
+      <td>588454689</td>
+      <td>561.19 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>27</th>
+      <td>media_asset_file_key</td>
+      <td>557435694</td>
+      <td>531.61 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>35</th>
+      <td>media_asset_status</td>
+      <td>542818899</td>
+      <td>517.67 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>26</th>
+      <td>media_asset_file_ext</td>
+      <td>516984380</td>
+      <td>493.03 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>5</th>
+      <td>file_ext</td>
+      <td>516984380</td>
+      <td>493.03 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>41</th>
+      <td>rating</td>
+      <td>499738034</td>
+      <td>476.59 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>21</th>
+      <td>last_commented_at</td>
+      <td>259587166</td>
+      <td>247.56 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>20</th>
+      <td>last_comment_bumped_at</td>
+      <td>252905426</td>
+      <td>241.19 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>22</th>
+      <td>last_noted_at</td>
+      <td>247393688</td>
+      <td>235.93 MB</td>
+      <td>object</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>bit_flags</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>49</th>
+      <td>tag_count_meta</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>42</th>
+      <td>score</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>38</th>
+      <td>parent_id</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>float64</td>
+    </tr>
+    <tr>
+      <th>39</th>
+      <td>pixiv_id</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>float64</td>
+    </tr>
+    <tr>
+      <th>30</th>
+      <td>media_asset_image_height</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>29</th>
+      <td>media_asset_id</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>31</th>
+      <td>media_asset_image_width</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>28</th>
+      <td>media_asset_file_size</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>12</th>
+      <td>id</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>0</th>
+      <td>approver_id</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>float64</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>fav_count</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>down_score</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>6</th>
+      <td>file_size</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>25</th>
+      <td>media_asset_duration</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>float64</td>
+    </tr>
+    <tr>
+      <th>14</th>
+      <td>image_width</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>13</th>
+      <td>image_height</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>44</th>
+      <td>tag_count</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>48</th>
+      <td>tag_count_general</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>47</th>
+      <td>tag_count_copyright</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>46</th>
+      <td>tag_count_character</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>56</th>
+      <td>up_score</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>45</th>
+      <td>tag_count_artist</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>58</th>
+      <td>uploader_id</td>
+      <td>68929384</td>
+      <td>65.74 MB</td>
+      <td>int64</td>
+    </tr>
+    <tr>
+      <th>10</th>
+      <td>has_large</td>
+      <td>8616173</td>
+      <td>8.22 MB</td>
+      <td>bool</td>
+    </tr>
+    <tr>
+      <th>15</th>
+      <td>is_banned</td>
+      <td>8616173</td>
+      <td>8.22 MB</td>
+      <td>bool</td>
+    </tr>
+    <tr>
+      <th>16</th>
+      <td>is_deleted</td>
+      <td>8616173</td>
+      <td>8.22 MB</td>
+      <td>bool</td>
+    </tr>
+    <tr>
+      <th>17</th>
+      <td>is_flagged</td>
+      <td>8616173</td>
+      <td>8.22 MB</td>
+      <td>bool</td>
+    </tr>
+    <tr>
+      <th>11</th>
+      <td>has_visible_children</td>
+      <td>8616173</td>
+      <td>8.22 MB</td>
+      <td>bool</td>
+    </tr>
+    <tr>
+      <th>18</th>
+      <td>is_pending</td>
+      <td>8616173</td>
+      <td>8.22 MB</td>
+      <td>bool</td>
+    </tr>
+    <tr>
+      <th>8</th>
+      <td>has_active_children</td>
+      <td>8616173</td>
+      <td>8.22 MB</td>
+      <td>bool</td>
+    </tr>
+    <tr>
+      <th>9</th>
+      <td>has_children</td>
+      <td>8616173</td>
+      <td>8.22 MB</td>
+      <td>bool</td>
+    </tr>
+    <tr>
+      <th>32</th>
+      <td>media_asset_is_public</td>
+      <td>8616173</td>
+      <td>8.22 MB</td>
+      <td>bool</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+
+## Dataset Creation
+
+We scraped all post IDs on Danbooru from 1 up to the latest. Some restricted tags (e.g. `loli`) were hidden by the site and require a gold account to access, so they are not present.  
+For a more complete (but older) metadata reference, you may wish to combine this with Danbooru2021 or similar previous scrapes.
+
+The scraping process used a pool of roughly 400 IPs over six hours, ensuring consistent tag definitions. Below is a simplified example of the process used to convert the metadata into Parquet:
+
+```python
+import pandas as pd
+from pandarallel import pandarallel
+
+# Initialize pandarallel
+pandarallel.initialize(nb_workers=4, progress_bar=True)
+
+def flatten_dict(d, parent_key='', sep='_'):
+    """
+    Flattens a nested dictionary.
+    """
+    items = []
+    for k, v in d.items():
+        new_key = f"{parent_key}{sep}{k}" if parent_key else k
+        if isinstance(v, dict):
+            items.extend(flatten_dict(v, new_key, sep=sep).items())
+        elif isinstance(v, list):
+            items.append((new_key, ', '.join(map(str, v))))
+        else:
+            items.append((new_key, v))
+    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)
+
+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
+```
+
+
+
+### Recommendations
+
+Users should be aware of potential biases and limitations, including the presence of adult content in some tags. More details and mitigations may be needed.