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id
int64
1
9.16M
_priority
float64
-149.4
3.07k
9,158,800
2.4
9,158,799
4.8
9,158,798
4.8
9,158,797
7.2
9,158,796
8.4
9,158,795
1.2
9,158,794
1.2
9,158,793
9.6
9,158,792
3.6
9,158,791
2.4
9,158,790
2.4
9,158,789
9.6
9,158,788
1.2
9,158,786
1.2
9,158,785
2.4
9,158,784
2.4
9,158,783
1.2
9,158,782
13.2
9,158,781
3.6
9,158,780
1.2
9,158,779
1.2
9,158,778
1.2
9,158,777
4.8
9,158,776
2.4
9,158,775
14.4
9,158,774
1.2
9,158,773
3.6
9,158,772
1.2
9,158,771
2.4
9,158,770
1.2
9,158,769
4.8
9,158,768
3.6
9,158,767
3.6
9,158,766
2.4
9,158,765
34.8
9,158,764
18
9,158,763
13.2
9,158,762
1.2
9,158,761
1.2
9,158,760
3.6
9,158,759
4.8
9,158,758
2.4
9,158,757
8.4
9,158,756
3.6
9,158,755
13.2
9,158,754
2.4
9,158,753
1.2
9,158,752
9.6
9,158,751
3.6
9,158,750
3.6
9,158,749
6
9,158,748
3.6
9,158,747
18
9,158,746
3.6
9,158,745
2.4
9,158,744
3.6
9,158,743
9.6
9,158,742
3.6
9,158,741
3.6
9,158,740
1.2
9,158,739
1.2
9,158,738
6
9,158,737
4.8
9,158,736
1.2
9,158,735
2.4
9,158,734
7.2
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2.4
9,158,732
1.2
9,158,731
1.2
9,158,730
1.2
9,158,729
2.4
9,158,728
1.2
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2.4
9,158,726
3.6
9,158,725
2.4
9,158,724
2.4
9,158,723
2.4
9,158,722
3.6
9,158,721
4.8
9,158,720
6
9,158,719
1.2
9,158,718
1.2
9,158,717
7.2
9,158,716
1.2
9,158,715
3.6
9,158,714
8.4
9,158,713
3.6
9,158,712
7.2
9,158,711
1.2
9,158,710
10.8
9,158,709
2.4
9,158,708
1.2
9,158,707
3.6
9,158,706
4.8
9,158,705
2.4
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9.6
9,158,703
9.6
9,158,702
19.2
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8.4
9,158,700
8.4
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dataproc5/intermediate-danbooru2025-row-priorities

(Auto-generated summary)

Basic Info:

  • Shape: 9113285 rows × 2 columns
  • Total Memory Usage: 139.06 MB
  • Duplicates: 1 (0.00%)

Column Stats:

Error generating stats table.

Column Summaries:

→ id (int64)

  • Min: 1.000, Max: 9158800.000, Mean: 4590528.448, Std: 2635818.323

→ _priority (float64)

  • Min: -149.400, Max: 3071.160, Mean: 30.321, Std: 54.949

Sample Rows (first 3):

     id  _priority
9158800        2.4
9158799        4.8
9158798        4.8

Usage Example:

import unibox as ub
df = ub.loads("hf://dataproc5/intermediate-danbooru2025-row-priorities").to_pandas()

Saving to dataset:

import unibox as ub
ub.saves(df, "hf://dataproc5/intermediate-danbooru2025-row-priorities")

(last updated: 2025-04-19 02:23:36.681779)

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