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specobjid
int64
dr8objid
int64
dr7objid
int64
ra
float64
dec
float64
rastring
string
decstring
string
sample
string
gz2class
string
total_classifications
int64
total_votes
int64
t01_smooth_or_features_a01_smooth_count
int64
t01_smooth_or_features_a01_smooth_weight
float64
t01_smooth_or_features_a01_smooth_fraction
float64
t01_smooth_or_features_a01_smooth_weighted_fraction
float64
t01_smooth_or_features_a01_smooth_debiased
float64
t01_smooth_or_features_a01_smooth_flag
int64
t01_smooth_or_features_a02_features_or_disk_count
int64
t01_smooth_or_features_a02_features_or_disk_weight
float64
t01_smooth_or_features_a02_features_or_disk_fraction
float64
t01_smooth_or_features_a02_features_or_disk_weighted_fraction
float64
t01_smooth_or_features_a02_features_or_disk_debiased
float64
t01_smooth_or_features_a02_features_or_disk_flag
int64
t01_smooth_or_features_a03_star_or_artifact_count
int64
t01_smooth_or_features_a03_star_or_artifact_weight
float64
t01_smooth_or_features_a03_star_or_artifact_fraction
float64
t01_smooth_or_features_a03_star_or_artifact_weighted_fraction
float64
t01_smooth_or_features_a03_star_or_artifact_debiased
float64
t01_smooth_or_features_a03_star_or_artifact_flag
int64
t02_edgeon_a04_yes_count
int64
t02_edgeon_a04_yes_weight
float64
t02_edgeon_a04_yes_fraction
float64
t02_edgeon_a04_yes_weighted_fraction
float64
t02_edgeon_a04_yes_debiased
float64
t02_edgeon_a04_yes_flag
int64
t02_edgeon_a05_no_count
int64
t02_edgeon_a05_no_weight
float64
t02_edgeon_a05_no_fraction
float64
t02_edgeon_a05_no_weighted_fraction
float64
t02_edgeon_a05_no_debiased
float64
t02_edgeon_a05_no_flag
int64
t03_bar_a06_bar_count
int64
t03_bar_a06_bar_weight
float64
t03_bar_a06_bar_fraction
float64
t03_bar_a06_bar_weighted_fraction
float64
t03_bar_a06_bar_debiased
float64
t03_bar_a06_bar_flag
int64
t03_bar_a07_no_bar_count
int64
t03_bar_a07_no_bar_weight
float64
t03_bar_a07_no_bar_fraction
float64
t03_bar_a07_no_bar_weighted_fraction
float64
t03_bar_a07_no_bar_debiased
float64
t03_bar_a07_no_bar_flag
int64
t04_spiral_a08_spiral_count
int64
t04_spiral_a08_spiral_weight
float64
t04_spiral_a08_spiral_fraction
float64
t04_spiral_a08_spiral_weighted_fraction
float64
t04_spiral_a08_spiral_debiased
float64
t04_spiral_a08_spiral_flag
int64
t04_spiral_a09_no_spiral_count
int64
t04_spiral_a09_no_spiral_weight
float64
t04_spiral_a09_no_spiral_fraction
float64
t04_spiral_a09_no_spiral_weighted_fraction
float64
t04_spiral_a09_no_spiral_debiased
float64
t04_spiral_a09_no_spiral_flag
int64
t05_bulge_prominence_a10_no_bulge_count
int64
t05_bulge_prominence_a10_no_bulge_weight
float64
t05_bulge_prominence_a10_no_bulge_fraction
float64
t05_bulge_prominence_a10_no_bulge_weighted_fraction
float64
t05_bulge_prominence_a10_no_bulge_debiased
float64
t05_bulge_prominence_a10_no_bulge_flag
int64
t05_bulge_prominence_a11_just_noticeable_count
int64
t05_bulge_prominence_a11_just_noticeable_weight
float64
t05_bulge_prominence_a11_just_noticeable_fraction
float64
t05_bulge_prominence_a11_just_noticeable_weighted_fraction
float64
t05_bulge_prominence_a11_just_noticeable_debiased
float64
t05_bulge_prominence_a11_just_noticeable_flag
int64
t05_bulge_prominence_a12_obvious_count
int64
t05_bulge_prominence_a12_obvious_weight
float64
t05_bulge_prominence_a12_obvious_fraction
float64
t05_bulge_prominence_a12_obvious_weighted_fraction
float64
t05_bulge_prominence_a12_obvious_debiased
float64
t05_bulge_prominence_a12_obvious_flag
int64
t05_bulge_prominence_a13_dominant_count
int64
t05_bulge_prominence_a13_dominant_weight
float64
t05_bulge_prominence_a13_dominant_fraction
float64
t05_bulge_prominence_a13_dominant_weighted_fraction
float64
t05_bulge_prominence_a13_dominant_debiased
float64
t05_bulge_prominence_a13_dominant_flag
int64
t06_odd_a14_yes_count
int64
t06_odd_a14_yes_weight
float64
t06_odd_a14_yes_fraction
float64
t06_odd_a14_yes_weighted_fraction
float64
t06_odd_a14_yes_debiased
float64
t06_odd_a14_yes_flag
int64
t06_odd_a15_no_count
int64
t06_odd_a15_no_weight
float64
t06_odd_a15_no_fraction
float64
t06_odd_a15_no_weighted_fraction
float64
t06_odd_a15_no_debiased
float64
t06_odd_a15_no_flag
int64
t07_rounded_a16_completely_round_count
int64
t07_rounded_a16_completely_round_weight
float64
t07_rounded_a16_completely_round_fraction
float64
t07_rounded_a16_completely_round_weighted_fraction
float64
t07_rounded_a16_completely_round_debiased
float64
t07_rounded_a16_completely_round_flag
int64
t07_rounded_a17_in_between_count
int64
t07_rounded_a17_in_between_weight
float64
t07_rounded_a17_in_between_fraction
float64
t07_rounded_a17_in_between_weighted_fraction
float64
t07_rounded_a17_in_between_debiased
float64
t07_rounded_a17_in_between_flag
int64
t07_rounded_a18_cigar_shaped_count
int64
t07_rounded_a18_cigar_shaped_weight
float64
t07_rounded_a18_cigar_shaped_fraction
float64
t07_rounded_a18_cigar_shaped_weighted_fraction
float64
t07_rounded_a18_cigar_shaped_debiased
float64
t07_rounded_a18_cigar_shaped_flag
int64
t08_odd_feature_a19_ring_count
int64
t08_odd_feature_a19_ring_weight
float64
t08_odd_feature_a19_ring_fraction
float64
t08_odd_feature_a19_ring_weighted_fraction
float64
t08_odd_feature_a19_ring_debiased
float64
t08_odd_feature_a19_ring_flag
int64
t08_odd_feature_a20_lens_or_arc_count
int64
t08_odd_feature_a20_lens_or_arc_weight
float64
t08_odd_feature_a20_lens_or_arc_fraction
float64
t08_odd_feature_a20_lens_or_arc_weighted_fraction
float64
t08_odd_feature_a20_lens_or_arc_debiased
float64
t08_odd_feature_a20_lens_or_arc_flag
int64
t08_odd_feature_a21_disturbed_count
int64
t08_odd_feature_a21_disturbed_weight
float64
t08_odd_feature_a21_disturbed_fraction
float64
t08_odd_feature_a21_disturbed_weighted_fraction
float64
t08_odd_feature_a21_disturbed_debiased
float64
t08_odd_feature_a21_disturbed_flag
int64
t08_odd_feature_a22_irregular_count
int64
t08_odd_feature_a22_irregular_weight
float64
t08_odd_feature_a22_irregular_fraction
float64
t08_odd_feature_a22_irregular_weighted_fraction
float64
t08_odd_feature_a22_irregular_debiased
float64
t08_odd_feature_a22_irregular_flag
int64
t08_odd_feature_a23_other_count
int64
t08_odd_feature_a23_other_weight
float64
t08_odd_feature_a23_other_fraction
float64
t08_odd_feature_a23_other_weighted_fraction
float64
t08_odd_feature_a23_other_debiased
float64
t08_odd_feature_a23_other_flag
int64
t08_odd_feature_a24_merger_count
int64
t08_odd_feature_a24_merger_weight
float64
t08_odd_feature_a24_merger_fraction
float64
t08_odd_feature_a24_merger_weighted_fraction
float64
t08_odd_feature_a24_merger_debiased
float64
t08_odd_feature_a24_merger_flag
int64
t08_odd_feature_a38_dust_lane_count
int64
t08_odd_feature_a38_dust_lane_weight
float64
t08_odd_feature_a38_dust_lane_fraction
float64
t08_odd_feature_a38_dust_lane_weighted_fraction
float64
t08_odd_feature_a38_dust_lane_debiased
float64
t08_odd_feature_a38_dust_lane_flag
int64
t09_bulge_shape_a25_rounded_count
int64
t09_bulge_shape_a25_rounded_weight
float64
t09_bulge_shape_a25_rounded_fraction
float64
t09_bulge_shape_a25_rounded_weighted_fraction
float64
t09_bulge_shape_a25_rounded_debiased
float64
t09_bulge_shape_a25_rounded_flag
int64
t09_bulge_shape_a26_boxy_count
int64
t09_bulge_shape_a26_boxy_weight
float64
t09_bulge_shape_a26_boxy_fraction
float64
t09_bulge_shape_a26_boxy_weighted_fraction
float64
t09_bulge_shape_a26_boxy_debiased
float64
t09_bulge_shape_a26_boxy_flag
int64
t09_bulge_shape_a27_no_bulge_count
int64
t09_bulge_shape_a27_no_bulge_weight
float64
t09_bulge_shape_a27_no_bulge_fraction
float64
t09_bulge_shape_a27_no_bulge_weighted_fraction
float64
t09_bulge_shape_a27_no_bulge_debiased
float64
t09_bulge_shape_a27_no_bulge_flag
int64
t10_arms_winding_a28_tight_count
int64
t10_arms_winding_a28_tight_weight
float64
t10_arms_winding_a28_tight_fraction
float64
t10_arms_winding_a28_tight_weighted_fraction
float64
t10_arms_winding_a28_tight_debiased
float64
t10_arms_winding_a28_tight_flag
int64
t10_arms_winding_a29_medium_count
int64
t10_arms_winding_a29_medium_weight
float64
t10_arms_winding_a29_medium_fraction
float64
t10_arms_winding_a29_medium_weighted_fraction
float64
t10_arms_winding_a29_medium_debiased
float64
t10_arms_winding_a29_medium_flag
int64
t10_arms_winding_a30_loose_count
int64
t10_arms_winding_a30_loose_weight
float64
t10_arms_winding_a30_loose_fraction
float64
t10_arms_winding_a30_loose_weighted_fraction
float64
t10_arms_winding_a30_loose_debiased
float64
t10_arms_winding_a30_loose_flag
int64
t11_arms_number_a31_1_count
int64
t11_arms_number_a31_1_weight
float64
t11_arms_number_a31_1_fraction
float64
t11_arms_number_a31_1_weighted_fraction
float64
t11_arms_number_a31_1_debiased
float64
t11_arms_number_a31_1_flag
int64
t11_arms_number_a32_2_count
int64
t11_arms_number_a32_2_weight
float64
t11_arms_number_a32_2_fraction
float64
t11_arms_number_a32_2_weighted_fraction
float64
t11_arms_number_a32_2_debiased
float64
t11_arms_number_a32_2_flag
int64
t11_arms_number_a33_3_count
int64
t11_arms_number_a33_3_weight
float64
t11_arms_number_a33_3_fraction
float64
t11_arms_number_a33_3_weighted_fraction
float64
t11_arms_number_a33_3_debiased
float64
t11_arms_number_a33_3_flag
int64
t11_arms_number_a34_4_count
int64
t11_arms_number_a34_4_weight
float64
t11_arms_number_a34_4_fraction
float64
t11_arms_number_a34_4_weighted_fraction
float64
t11_arms_number_a34_4_debiased
float64
t11_arms_number_a34_4_flag
int64
t11_arms_number_a36_more_than_4_count
int64
t11_arms_number_a36_more_than_4_weight
float64
t11_arms_number_a36_more_than_4_fraction
float64
t11_arms_number_a36_more_than_4_weighted_fraction
float64
t11_arms_number_a36_more_than_4_debiased
float64
t11_arms_number_a36_more_than_4_flag
int64
t11_arms_number_a37_cant_tell_count
int64
t11_arms_number_a37_cant_tell_weight
float64
t11_arms_number_a37_cant_tell_fraction
float64
t11_arms_number_a37_cant_tell_weighted_fraction
float64
t11_arms_number_a37_cant_tell_debiased
float64
t11_arms_number_a37_cant_tell_flag
int64
dominant_morphology
string
is_barred
bool
is_spiral
bool
is_edge_on
bool
1,802,674,929,645,152,300
null
588,017,703,996,096,500
160.9904
11.70379
10:43:57.70
+11:42:13.6
original
SBb?t
44
349
1
0.099
0.023
0.002
0.002
0
42
42
0.955
0.975
0.975
1
1
1
0.023
0.023
0.023
0
0
0
0
0
0
0
42
42
1
1
1
1
24
24
0.571
0.571
0.571
0
18
18
0.429
0.429
0.429
0
40
40
0.952
0.952
0.952
1
2
2
0.048
0.048
0.048
0
2
2
0.048
0.048
0.048
0
8
8
0.19
0.19
0.19
0
25
25
0.595
0.595
0.595
0
7
7
0.167
0.167
0.167
0
13
12.099
0.302
0.287
0.287
0
30
30
0.698
0.713
0.713
0
0
0
0
0
0
0
1
0.099
1
0
0
0
0
0
0
0
0
0
9
8.099
0.692
0.669
0.669
0
2
2
0.154
0.165
0.165
0
1
1
0.077
0.083
0.083
0
0
0
0
0
0
0
1
1
0.077
0.083
0.083
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
19
19
0.475
0.475
0.475
0
14
14
0.35
0.35
0.35
0
7
7
0.175
0.175
0.175
0
0
0
0
0
0
0
9
9
0.225
0.225
0.225
0
8
8
0.2
0.2
0.2
0
4
4
0.1
0.1
0.1
0
9
9
0.225
0.225
0.225
0
10
10
0.25
0.25
0.25
0
features_or_disk
true
true
false
1,992,983,900,678,285,300
null
587,738,569,780,428,800
192.41083
15.164207
12:49:38.60
+15:09:51.1
original
Ser
45
185
5
5
0.111
0.115
0.115
0
38
38
0.844
0.873
0.873
1
2
0.52
0.044
0.012
0.012
0
34
34
0.919
0.919
0.919
1
3
3
0.081
0.081
0.081
0
3
3
1
1
1
0
0
0
0
0
0
0
1
1
0.333
0.333
0.333
0
2
2
0.667
0.667
0.667
0
1
1
0.333
0.333
0.333
0
1
1
0.333
0.333
0.333
0
0
0
0
0
0
0
1
1
0.333
0.333
0.333
0
9
9
0.209
0.209
0.209
0
34
34
0.791
0.791
0.791
0
0
0
0
0
0
0
0
0
0
0
0
0
5
5
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0.111
0.111
0.111
0
0
0
0
0
0
0
4
4
0.444
0.444
0.444
0
0
0
0
0
0
0
4
4
0.444
0.444
0.444
0
12
12
0.343
0.343
0.343
0
11
11
0.314
0.314
0.314
0
12
12
0.343
0.343
0.343
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
features_or_disk
true
false
true
1,489,568,922,213,574,700
null
587,735,695,913,320,400
210.8022
54.348953
14:03:12.53
+54:20:56.2
original
Sc+t
46
372
0
0
0
0
0
0
44
44
0.957
0.966
0.966
1
2
1.531
0.043
0.034
0.034
0
1
1
0.023
0.023
0.046684
0
43
43
0.977
0.977
0.94483
1
4
4
0.093
0.093
0.125048
0
39
39
0.907
0.907
0.880335
1
43
43
1
1
1
1
0
0
0
0
0
0
1
1
0.023
0.023
0.030989
0
18
18
0.419
0.419
0.61405
0
18
18
0.419
0.419
0.184101
0
6
6
0.14
0.14
0.13986
0
22
22
0.5
0.5
0.532818
0
22
22
0.5
0.5
0.537854
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
0.091
0.091
0.091
0
2
2
0.091
0.091
0.091
0
7
7
0.318
0.318
0.318
0
3
3
0.136
0.136
0.136
0
6
6
0.273
0.273
0.273
0
2
2
0.091
0.091
0.091
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
0
31
31
0.721
0.721
0.721
0
8
8
0.186
0.186
0.186
0
4
4
0.093
0.093
0.093
0
0
0
0
0
0
0
3
3
0.07
0.07
0.07
0
4
4
0.093
0.093
0.093
0
5
5
0.116
0.116
0.116
0
28
28
0.651
0.651
0.651
0
3
3
0.07
0.07
0.07
0
features_or_disk
false
true
false
2,924,083,625,089,591,300
1,237,668,496,859,529,200
587,742,775,634,624,500
185.30342
18.382704
12:21:12.82
+18:22:57.7
original
SBc(r)
45
289
8
8
0.178
0.178
0.178
0
37
37
0.822
0.822
0.822
1
0
0
0
0
0
0
6
6
0.162
0.162
0.162
0
31
31
0.838
0.838
0.838
1
21
21
0.677
0.677
0.677
0
10
10
0.323
0.323
0.323
0
13
13
0.433
0.433
0.433
0
17
17
0.567
0.567
0.567
0
8
8
0.258
0.258
0.258
0
15
15
0.484
0.484
0.484
0
2
2
0.065
0.065
0.065
0
6
6
0.194
0.194
0.194
0
29
29
0.659
0.659
0.659
0
15
15
0.341
0.341
0.341
0
1
1
0.125
0.125
0.125
0
5
5
0.625
0.625
0.625
0
2
2
0.25
0.25
0.25
0
14
14
0.483
0.483
0.483
0
1
1
0.034
0.034
0.034
0
1
1
0.034
0.034
0.034
0
1
1
0.034
0.034
0.034
0
10
10
0.345
0.345
0.345
0
1
1
0.034
0.034
0.034
0
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features_or_disk
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extra
Ec
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smooth
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original
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43
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features_or_disk
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original
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4
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38.5
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26.5
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features_or_disk
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original
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features_or_disk
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extra
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7
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features_or_disk
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original
Ser
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features_or_disk
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original
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original
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37.892
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37.5
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End of preview. Expand in Data Studio

Galaxy Zoo 2 Morphological Classifications

Part of the Astronomy Datasets collection on Hugging Face.

243,500 citizen-science galaxy morphology classifications from Galaxy Zoo 2, the largest visual morphological classification project in astronomy. Each galaxy was classified by multiple volunteers answering a decision tree of questions about shape, structure, and features.

Dataset description

Galaxy Zoo 2 asked hundreds of thousands of volunteers to classify galaxy images from the Sloan Digital Sky Survey (SDSS). This dataset contains the spectroscopic-redshift sample (Table 5 from Willett et al. 2013): 243,500 galaxies with vote counts, vote fractions, weighted fractions, debiased probabilities, and classification flags for 11 morphological tasks spanning 37 possible answers.

The decision tree covers: smooth vs. featured, edge-on disk, bar presence, spiral structure, bulge prominence, oddities (ring, lens, disturbed, irregular, merger, dust lane), roundedness, bulge shape, and spiral arm properties (tightness, count).

Quick stats

  • 243,500 galaxies classified
  • 103,515 classified as smooth/elliptical
  • 139,738 classified as featured/disk
  • 86,775 with spiral structure (debiased probability > 0.5)
  • 34,286 barred galaxies (debiased probability > 0.5)
  • 29,597 edge-on galaxies (debiased probability > 0.5)
  • 179.4 average votes per galaxy

Schema

The dataset has 237 columns. Key columns:

Column Type Description
specobjid int64 SDSS spectroscopic object ID
dr8objid int64 SDSS DR8 photometric object ID
dr7objid int64 SDSS DR7 photometric object ID
ra float64 Right Ascension (J2000, degrees)
dec float64 Declination (J2000, degrees)
rastring string RA as sexagesimal string
decstring string Dec as sexagesimal string
sample string Sample membership flag
gz2class string Summary morphological class
total_classifications int64 Total number of classifications
total_votes int64 Total number of votes
dominant_morphology string Derived: highest debiased probability (smooth / features_or_disk / star_or_artifact)
is_barred bool Derived: bar debiased probability > 0.5
is_spiral bool Derived: spiral debiased probability > 0.5
is_edge_on bool Derived: edge-on debiased probability > 0.5

For each of the 11 morphological tasks (t01-t11) and their answers (a01-a37), there are up to 6 columns:

Suffix Description
_count Raw number of votes for this answer
_weight Weighted vote count (correcting for classifier consistency)
_fraction Simple vote fraction
_weighted_fraction Weighted vote fraction
_debiased Debiased probability (corrected for redshift-dependent bias)
_flag Classification flag (1 = plurality answer after debiasing)

Usage

from datasets import load_dataset

ds = load_dataset("juliensimon/galaxy-zoo-2-morphology", split="train")
df = ds.to_pandas()

# Elliptical galaxies (smooth, debiased probability > 0.8)
ellipticals = df[df["t01_smooth_or_features_a01_smooth_debiased"] > 0.8]

# Barred spiral galaxies
barred_spirals = df[df["is_barred"] & df["is_spiral"]]

# Edge-on disks
edge_on = df[df["is_edge_on"]]

# Distribution of morphological classes
print(df["gz2class"].value_counts().head(10))

# Merger candidates (odd feature = merger, debiased > 0.5)
if "t08_odd_feature_a24_merger_debiased" in df.columns:
    mergers = df[df["t08_odd_feature_a24_merger_debiased"] > 0.5]

Data source

Galaxy Zoo 2 — Willett et al. (2013), "Galaxy Zoo 2: detailed morphological classifications for 304,122 galaxies from the Sloan Digital Sky Survey", MNRAS, 435, 2835. arXiv:1308.3496

This table is the spectroscopic-redshift subsample (Table 5).

Related datasets

Pipeline

Source code: juliensimon/space-datasets

Citation

@dataset{galaxy_zoo_2_morphology,
  author = {Simon, Julien},
  title = {Galaxy Zoo 2 Morphological Classifications},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/juliensimon/galaxy-zoo-2-morphology},
  note = {Based on Galaxy Zoo 2 data (Willett et al. 2013, MNRAS 435, 2835)}
}

License

CC-BY-4.0

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