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hip_id
int64
1
120k
v_magnitude
float64
-1.44
14.1
ra_deg
float64
0
360
dec_deg
float64
-89.78
89.6
parallax_mas
float64
-54.95
772
proper_motion_ra_mas_yr
float64
-4,410.79
6.77k
proper_motion_dec_mas_yr
float64
-5,813
10.3k
parallax_error_mas
float64
0.38
114
color_bv
float64
-0.4
5.46
spectral_type
stringlengths
1
12
distance_pc
float64
1.29
100k
1
9.1
0.000912
1.089013
3.54
-5.2
-1.88
1.39
0.482
F5
282.485876
2
9.27
0.003797
-19.498837
21.9
181.21
-0.93
3.1
0.999
K3V
45.6621
3
6.61
0.005008
38.859286
2.81
5.24
-2.91
0.63
-0.019
B9
355.871886
4
8.06
0.008382
-51.893546
7.75
62.85
0.16
0.97
0.37
F0V
129.032258
5
8.55
0.009965
-40.591224
2.87
2.53
9.07
1.11
0.902
G8III
348.432056
6
12.31
0.018141
3.946489
18.8
226.29
-12.84
4.99
1.336
M0V:
53.191489
7
9.64
0.022549
20.036602
17.74
-208.12
-200.79
1.3
0.74
G0
56.369786
8
9.05
0.027292
25.886474
5.17
19.09
-5.66
1.95
1.102
M6e-M8.5e Tc
193.423598
9
8.59
0.035342
36.585938
4.81
-6.3
8.42
0.99
1.067
G5
207.900208
10
8.59
0.036253
-50.867074
10.76
42.23
40.02
1.1
0.489
F6V
92.936803
11
7.34
0.037297
46.940002
4.29
11.09
-2.02
0.84
0.081
A2
233.100233
12
8.43
0.040918
-35.960225
4.06
-5.99
-0.1
1.16
1.484
K4III
246.305419
13
8.8
0.04168
-22.594681
3.49
8.45
-10.07
1.48
1.128
K0III
286.532951
14
7.25
0.048272
-0.360421
5.11
61.75
-11.67
0.99
1.2
K0
195.694716
15
8.6
0.050309
50.791174
2.45
13.88
5.47
1.16
1.166
K2
408.163265
16
11.71
0.051409
-54.914128
0.53
257.39
-96.63
2.63
0.421
null
1,886.792453
17
8.15
0.0511
-40.192328
6.15
-34.46
-26.37
1
0.425
F3V
162.601626
18
11.03
0.053139
-4.053738
19.93
-127.22
23.78
2.36
1.567
K5
50.175615
19
6.53
0.053317
38.304086
4.12
-2.5
-15.07
0.64
0.955
G5
242.718447
20
8.51
0.062951
23.529284
10.76
36
-22.98
1.06
0.516
G0
92.936803
21
7.55
0.066236
8.007234
5.84
61.89
-0.22
0.95
1.438
K2
171.232877
22
8.69
0.070136
-49.352267
4.47
-7.9
0.46
1.15
0.962
G8/K0III/IV
223.713647
23
7.57
0.074429
13.312211
12.21
54.15
9.65
0.95
0.456
F2V
81.900082
24
9.05
0.07605
-23.452749
9.73
127.15
22.22
1.21
0.528
G0V
102.774923
25
6.28
0.079365
-44.290297
13.74
58.36
-108.64
0.98
0.763
G3IV
72.780204
26
9.13
0.084346
-13.393297
9.19
-103.33
-33.35
1.34
0.535
F7V
108.813928
27
9.32
0.08547
-41.297537
9.66
135.96
-113.67
1.38
0.671
G5V
103.519669
28
8.83
0.087249
-43.3618
5.64
-10.96
-8.69
1.05
0.468
F3/F5V
177.304965
29
9.14
0.092131
-49.107955
2.85
26.86
4.05
1.4
1.041
G8III
350.877193
30
8.26
0.096136
42.141499
3.79
-8.44
-10.14
0.88
0.142
A0
263.852243
31
7.63
0.098094
2.675478
1.84
-4.88
-0.2
1.05
1.453
K2
543.478261
32
9.09
0.098584
51.939491
3.1
-0.39
-1.38
1.29
0.04
B8
322.580645
33
8.1
0.099181
-10.462454
8.94
-3.62
28.71
1.09
0.466
F2
111.856823
34
6.43
0.09947
26.918238
12.71
42.2
-53.47
0.74
0.514
F7.5IV-V
78.678206
35
9.07
0.102561
-14.490481
5.96
162.25
-1.47
1.45
0.916
G8/K0III/IV
167.785235
36
7.68
0.103276
12.267093
6.3
49.71
14.27
0.96
1.15
K0
158.730159
37
10.44
0.105352
-47.179584
3.74
-6.92
7.03
2.72
0.391
F0V
267.379679
38
8.65
0.111047
-79.061831
23.84
162.3
-62.4
0.78
0.778
G6V
41.946309
39
7.46
0.111861
-16.69693
10.98
169.72
-32.54
1.18
0.475
F3V
91.074681
40
10.61
0.12197
67.216791
-3.4
-2.99
-3.18
4.25
0.57
B...
null
41
8.7
0.116564
54.302238
3.42
1.78
-0.47
1.04
0.026
A0
292.397661
42
8.2
0.125387
25.844781
6.38
20.7
-6.51
0.91
0.387
F2
156.739812
43
6.18
0.129089
59.559738
7.63
-80.6
-24.07
0.6
1.032
G9III-IV
131.061599
44
7.91
0.132722
-3.306362
2.41
11.1
16.04
1.01
1.104
K2
414.937759
45
9.59
0.134205
-72.20271
15.1
-37.2
-2.78
1.92
null
G6/G8V:
66.225166
46
8.57
0.134544
-25.622253
1.19
15.17
-13.39
1.2
1.035
K1III
840.336134
47
10.78
0.135192
-56.835248
24.45
-44.21
-145.9
1.97
1.15
K3V
40.899796
48
7.31
0.135223
-40.690447
1.86
4.08
-11.28
0.87
1.164
K0/K1III
537.634409
49
9.53
0.139501
16.669032
1.59
26.66
6.95
1.28
0.45
F5
628.930818
50
6.49
0.142871
-53.097663
16.89
52.98
-20.52
0.8
0.616
G1IV
59.206631
51
8.94
0.14339
1.066197
0.41
10.19
6.33
1.3
0.906
K0
2,439.02439
52
8.56
0.146659
-77.020141
3.95
21.46
9.91
0.77
0.196
A4V
253.164557
53
10.96
0.14739
-29.263382
-1.76
11.94
-12.96
2.45
null
null
null
54
10.57
0.151656
17.968956
20.97
367.14
-19.49
1.71
1.03
M:
47.687172
55
7.4
0.157833
-66.683103
14.66
162.88
-28.82
0.98
0.551
G2IV/V
68.212824
56
8.12
0.162832
0.222939
3.47
39.02
-3.09
1.27
1.329
K0
288.184438
57
8.27
0.168286
-69.675801
33.89
-40.97
-67.59
0.79
0.863
K2V
29.507229
58
7.05
0.173763
62.176005
26.06
-46.95
-43.9
0.67
0.52
G0
38.372985
59
9.09
0.174447
55.722463
-0.06
-0.27
-1.02
1.38
0.091
B5
null
60
8.34
0.175423
-64.465825
6.18
1.75
10.74
0.83
0.386
F2IV
161.812298
61
8.86
0.176157
53.822186
5.6
32.68
-16.7
1.11
1.081
K5
178.571429
62
8.27
0.179961
-45.422727
5.28
4.02
-4.78
1.15
0.994
G8III
189.393939
63
6.36
0.18175
45.253333
4.81
17.38
0.22
0.71
-0.047
B9p SiEu
207.900208
64
8.08
0.184589
-27.907546
3.45
-5.93
-14.59
0.94
1.156
K2III
289.855072
65
11
0.187975
-54.830341
16.98
-205.14
-75.34
2.43
1.147
null
58.892815
66
8.55
0.188549
-72.318249
8.18
-15.61
11.88
0.88
0.401
F2V
122.249389
67
7.83
0.199101
23.538249
7.48
91.05
-12.35
0.93
0.495
F5
133.68984
68
8.79
0.200636
16.988965
31.8
-99.69
-315.9
1.17
0.94
K0
31.446541
69
8.33
0.201372
30.395893
6.35
16.48
-1.3
1.12
0.135
A0
157.480315
70
10.42
0.2028
36.777639
5.25
-46.78
-0.88
13.87
0.706
null
190.47619
71
8.26
0.2071
36.780153
9.13
-24.5
-19.47
1.84
0.846
G5
109.529025
72
8.97
0.21947
-12.82867
10.63
185.34
-119.65
1.25
0.671
G3/G5V
94.073377
73
6.9
0.220457
66.847967
3.97
-20.78
18.19
0.69
1.446
K2
251.889169
74
9.93
0.221873
35.752722
24.22
157.73
-40.31
1.36
1.068
K5
41.288192
75
7.42
0.223162
-50.446465
1.6
29.01
2.56
0.79
1.524
K4III
625
76
9.03
0.22822
32.825675
2.29
-1.98
-8.45
1.19
1.67
M0
436.681223
77
8.41
0.230522
-30.064173
3.53
18.83
2.83
1.12
0.022
A0V
283.286119
78
8.06
0.232313
17.867842
1.17
-0.51
3.68
0.96
1.203
K0
854.700855
79
8.69
0.235723
35.316754
4.57
16.45
-13.81
0.99
0.529
F5
218.818381
80
8.4
0.241792
-11.823537
15.59
419.04
-82.83
1.43
0.566
G2V
64.143682
81
8.57
0.243864
-4.932115
23.43
-184.7
-172.67
1.28
0.642
G5
42.680324
82
9.5
0.248032
-10.935805
1.82
-6.01
-65.06
1.37
1.107
G5
549.450549
83
8.85
0.248081
52.080564
2.28
-2.1
-0.99
1.3
1.726
M0
438.596491
84
9.61
0.251807
27.886344
18.9
225.55
-5.46
1.33
0.852
K0
52.910053
85
10.62
0.256007
-24.714049
3.9
48.48
0.49
2.06
0.359
A2
256.410256
86
8.05
0.260383
69.603498
3.47
11.53
2.67
0.78
0.018
B9
288.184438
87
7.8
0.261516
-5.834976
4.52
-7.83
-10.91
1.08
0.43
F5
221.238938
88
5.71
0.26916
-48.809859
5.97
-17.92
-6.75
0.7
0.911
G8III
167.504188
89
7.87
0.277152
53.166943
2.6
0.68
0.03
0.96
1.566
K2
384.615385
90
7.64
0.28
-41.88743
9.35
25.1
-46.98
0.92
0.5
F5IV/V
106.951872
91
7.66
0.280568
-5.874333
4.21
-15.41
-6.09
1.23
1.3
K0
237.529691
92
8.68
0.290625
-20.705586
4.77
27.51
15.15
1.44
0.944
G8III
209.643606
93
8.12
0.292223
-0.07592
16.74
54.94
-73.28
1.28
0.619
F8V
59.737157
94
10.1
0.294853
-32.756806
10.48
50.32
-12.69
1.48
0.644
G2
95.419847
95
8.67
0.302039
-11.964
7.85
-9.94
-13.75
1.17
0.513
F5V
127.388535
96
10.46
0.304894
13.974748
19.83
20.59
139.82
5.16
1.36
M0
50.428643
97
9.48
0.307334
-21.404045
5.52
18.34
1.21
1.74
0.53
F5V
181.15942
98
9.87
0.307178
-52.79858
6.49
-2.09
1.7
1.44
0.551
F6/F7V
154.083205
99
7.04
0.316016
60.355298
1.27
9.57
-6.49
0.7
2.835
C5p
787.401575
100
8.44
0.316451
19.741316
4.49
-29.13
-30.14
1.08
0.898
G0
222.717149
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Hipparcos Star Catalog

A youthful globular star cluster observed by the Hubble Space Telescope

Credit: NASA/ESA/Hubble

Part of a dataset collection on Hugging Face.

Dataset description

The ESA Hipparcos space astrometry mission catalog containing 118,218 of the brightest stars in the sky with precise positions, parallaxes, and proper motions.

The Hipparcos satellite (1989–1993) was ESA's pioneering space astrometry mission. It measured the positions, parallaxes, and proper motions of stars with unprecedented precision, creating the first high-accuracy stellar reference frame from space. Hipparcos parallaxes remain the gold standard for nearby star distances and are the foundation for the cosmic distance ladder.

Hipparcos achieved milliarcsecond-level astrometry — a factor of 100 improvement over ground-based catalogs — by observing from above Earth's atmosphere. The mission's key deliverable, trigonometric parallax, provides the most direct and model-independent method of measuring stellar distances: a star at 1 parsec subtends a parallax of 1 arcsecond, and distance in parsecs is simply 1/parallax. With typical parallax uncertainties of 1 mas, Hipparcos yielded distances accurate to 10% out to about 100 pc.

The scientific legacy of Hipparcos extends far beyond simple distance measurement. Proper motions from the catalog revealed the kinematic structure of nearby stellar streams and moving groups. Combined with radial velocities, Hipparcos data enabled full three-dimensional space velocity determinations for thousands of stars. Although Gaia has since surpassed Hipparcos in depth and precision, the catalog retains enduring value: it provides an independent epoch (J1991.25) for long-baseline proper motion studies, and its bright-star astrometry benchmarks Gaia solutions at the bright end.

Schema

Column Type Description Sample Null %
hip_id Int64 Hipparcos Input Catalog identifier; integer in range 1–120404; the standard cross-reference identifier for stars brighter than ~12 mag observed by the Hipparcos satellite (1989–1993); still widely used to cross-match with Gaia and Tycho-2 1 0.0%
v_magnitude float64 Johnson V-band apparent magnitude; higher values are fainter; catalog covers roughly V = 2–12.4 mag; null for stars with only Hp-band photometry 9.1 0.0%
ra_deg float64 Right ascension in degrees, ICRS at reference epoch J1991.25 (the astrometric midpoint of the Hipparcos mission, not J2000.0); range 0–360; differs from J2000.0 by a small proper-motion correction that grows with stellar velocity 0.00091185 0.2%
dec_deg float64 Declination in degrees, ICRS at reference epoch J1991.25; range −90 to +90; positive north of the celestial equator 1.08901332 0.2%
parallax_mas float64 Trigonometric parallax in milliarcseconds; convert to distance via distance_pc = 1000 / parallax_mas; Hipparcos precision ~1 mas (cf. Gaia ~0.02 mas); negative values are physically meaningful measurement noise for distant stars where the true parallax is near zero 3.54 0.2%
proper_motion_ra_mas_yr float64 Proper motion in right ascension in milliarcseconds per year, with the cos(dec) factor already applied so this is the true angular rate on the sky (not the coordinate rate); positive = eastward motion -5.2 0.2%
proper_motion_dec_mas_yr float64 Proper motion in declination in milliarcseconds per year; positive = northward motion; combined with proper_motion_ra_mas_yr gives the full tangential velocity vector on the sky -1.88 0.2%
parallax_error_mas float64 1-sigma formal uncertainty on the parallax in milliarcseconds; stars where parallax_error_mas > 0.5 × parallax_mas have uncertain distances (signal-to-noise < 2); use with caution for distance-dependent analyses 1.39 0.2%
color_bv float64 Johnson B−V color index in magnitudes; more positive values indicate redder, cooler stars (e.g. B−V ≈ −0.3 for hot O/B stars, +1.5 for cool M giants); null for stars lacking B-band photometry 0.482 1.1%
spectral_type object MK (Morgan–Keenan) spectral classification from catalog cross-references, e.g. 'G2V' (Sun-like), 'K0III' (red giant); encodes temperature class (O B A F G K M), luminosity class (I–V), and sometimes peculiarity flags; null for ~30% of stars, especially fainter objects F5 2.6%
distance_pc float64 Heliocentric distance in parsecs, derived as 1000 / parallax_mas; null when parallax_mas ≤ 0 (unphysical noise-dominated measurements); treat values with large parallax_error_mas as highly uncertain 282.4858757062147 3.8%

Quick stats

  • 118,218 stars
  • 117,955 with measured parallax
  • 113,710 with derived distance (parallax > 0)
  • 115,184 with spectral type classification
  • Median V magnitude: 8.4

Usage

from datasets import load_dataset
import matplotlib.pyplot as plt

ds = load_dataset("juliensimon/hipparcos-catalog", split="train")
df = ds.to_pandas()

# Hertzsprung-Russell diagram: color vs. absolute magnitude
# Compute absolute magnitude from distance modulus: M = V - 5*log10(d/10)
import numpy as np
valid = df.dropna(subset=["color_bv", "v_magnitude", "distance_pc"])
valid = valid[valid["distance_pc"] > 0]
valid["abs_mag"] = valid["v_magnitude"] - 5 * np.log10(valid["distance_pc"] / 10)

plt.figure(figsize=(8, 10))
plt.scatter(valid["color_bv"], valid["abs_mag"], s=0.2, alpha=0.3, c="steelblue")
plt.gca().invert_yaxis()
plt.xlabel("B-V Color Index (bluer ← → redder)")
plt.ylabel("Absolute Magnitude Mv (brighter ↑)")
plt.title("Hipparcos HR Diagram")
plt.tight_layout()
plt.show()

# Nearest stars within 10 parsecs
nearby = df[df["distance_pc"] < 10].sort_values("distance_pc")
print(nearby[["hip_id", "v_magnitude", "distance_pc", "spectral_type"]].head(20))

Data source

https://vizier.cds.unistra.fr/viz-bin/VizieR-3?-source=I/239/hip_main

Related datasets

Citation

@dataset{hipparcos_catalog,
  title = {Hipparcos Star Catalog},
  author = {juliensimon},
  year = {2026},
  url = {https://huggingface.co/datasets/juliensimon/hipparcos-catalog},
  publisher = {Hugging Face}
}

License

CC-BY-4.0

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