Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
frame
int64
t_s
float64
head_x_cm
float64
head_y_cm
float64
speed_cm_s
float64
reliable
int64
scored
int64
0
0
5.671
34.625
0.595
0
0
1
0.069
5.671
34.624
0.668
0
0
2
0.1379
5.669
34.619
0.81
0
0
3
0.2069
5.667
34.601
1.01
0
0
4
0.2759
5.661
34.555
1.252
0
0
5
0.3448
5.658
34.462
1.519
0
0
6
0.4138
5.667
34.311
1.79
1
0
7
0.4828
5.708
34.115
2.047
1
1
8
0.5517
5.799
33.908
2.274
1
1
9
0.6207
5.937
33.733
2.458
1
1
10
0.6897
6.102
33.625
2.593
1
1
11
0.7586
6.267
33.609
2.675
1
1
12
0.8276
6.416
33.702
2.707
1
1
13
0.8966
6.549
33.896
2.694
0
0
14
0.9655
6.667
34.149
2.645
1
1
15
1.0345
6.769
34.381
2.573
1
1
16
1.1034
6.843
34.516
2.493
1
1
17
1.1724
6.875
34.523
2.419
1
1
18
1.2414
6.863
34.425
2.365
1
1
19
1.3103
6.817
34.277
2.336
1
1
20
1.3793
6.752
34.129
2.334
1
1
21
1.4483
6.672
34.006
2.352
1
1
22
1.5172
6.569
33.9
2.377
1
1
23
1.5862
6.441
33.784
2.394
1
1
24
1.6552
6.3
33.629
2.391
1
1
25
1.7241
6.167
33.433
2.356
1
1
26
1.7931
6.068
33.223
2.286
1
1
27
1.8621
6.016
33.044
2.185
1
1
28
1.931
6.009
32.92
2.061
0
0
29
2
6.039
32.846
1.928
1
0
30
2.069
6.092
32.786
1.799
1
0
31
2.1379
6.156
32.707
1.687
0
0
32
2.2069
6.217
32.609
1.605
1
0
33
2.2759
6.267
32.519
1.558
1
0
34
2.3448
6.312
32.46
1.552
1
0
35
2.4138
6.363
32.432
1.589
0
0
36
2.4828
6.432
32.415
1.668
1
0
37
2.5517
6.526
32.387
1.785
0
0
38
2.6207
6.644
32.343
1.934
1
0
39
2.6897
6.781
32.292
2.107
1
1
40
2.7586
6.936
32.25
2.295
1
1
41
2.8276
7.108
32.223
2.488
1
1
42
2.8966
7.3
32.21
2.675
1
1
43
2.9655
7.51
32.196
2.848
1
1
44
3.0345
7.731
32.165
2.997
1
1
45
3.1034
7.957
32.102
3.115
0
0
46
3.1724
8.179
31.996
3.197
1
1
47
3.2414
8.396
31.851
3.238
1
1
48
3.3103
8.598
31.68
3.24
1
1
49
3.3793
8.774
31.495
3.205
1
1
50
3.4483
8.907
31.302
3.141
1
1
51
3.5172
8.989
31.107
3.057
1
1
52
3.5862
9.022
30.915
2.963
1
1
53
3.6552
9.021
30.734
2.868
1
1
54
3.7241
8.997
30.571
2.777
1
1
55
3.7931
8.944
30.428
2.693
1
1
56
3.8621
8.848
30.312
2.61
1
1
57
3.931
8.696
30.22
2.519
1
1
58
4
8.494
30.147
2.413
1
1
59
4.069
8.276
30.078
2.282
1
1
60
4.1379
8.085
30.002
2.122
1
1
61
4.2069
7.949
29.919
1.936
1
0
62
4.2759
7.871
29.835
1.731
1
0
63
4.3448
7.83
29.766
1.519
1
0
64
4.4138
7.801
29.719
1.313
1
0
65
4.4828
7.768
29.696
1.126
1
0
66
4.5517
7.732
29.69
0.968
1
0
67
4.6207
7.697
29.692
0.845
1
0
68
4.6897
7.665
29.692
0.758
1
0
69
4.7586
7.631
29.688
0.706
1
0
70
4.8276
7.591
29.682
0.685
1
0
71
4.8966
7.55
29.679
0.69
1
0
72
4.9655
7.515
29.686
0.716
1
0
73
5.0345
7.493
29.713
0.758
1
0
74
5.1034
7.483
29.763
0.81
1
0
75
5.1724
7.483
29.831
0.868
1
0
76
5.2414
7.494
29.905
0.927
1
0
77
5.3103
7.524
29.971
0.982
1
0
78
5.3793
7.576
30.02
1.03
1
0
79
5.4483
7.65
30.051
1.068
1
0
80
5.5172
7.737
30.065
1.095
1
0
81
5.5862
7.826
30.071
1.11
1
0
82
5.6552
7.913
30.075
1.113
1
0
83
5.7241
7.994
30.083
1.105
1
0
84
5.7931
8.071
30.093
1.089
1
0
85
5.8621
8.144
30.101
1.067
1
0
86
5.931
8.213
30.106
1.043
0
0
87
6
8.279
30.109
1.017
0
0
88
6.069
8.344
30.112
0.993
0
0
89
6.1379
8.408
30.115
0.971
0
0
90
6.2069
8.471
30.119
0.953
0
0
91
6.2759
8.534
30.123
0.938
0
0
92
6.3448
8.597
30.127
0.927
0
0
93
6.4138
8.66
30.131
0.923
0
0
94
6.4828
8.724
30.135
0.927
0
0
95
6.5517
8.787
30.14
0.943
0
0
96
6.6207
8.849
30.143
0.976
0
0
97
6.6897
8.909
30.145
1.03
0
0
98
6.7586
8.961
30.142
1.107
0
0
99
6.8276
8.994
30.127
1.206
0
0
End of preview. Expand in Data Studio

ca1-crossday-decoding

Data for the terminal-bench-science task ca1-crossday-decoding: decode a mouse's position online on a new recording day from raw two-photon calcium imaging of hippocampal CA1, given a full labeled session from days earlier and the first minutes of the new day.

Source

Zong, W., Obenhaus, H. A., Skytoen, E. R., et al. (2022). Large-scale two-photon calcium imaging in freely moving mice. Cell 185(6), 1240-1256. Deposited in the NIRD Research Data Archive, DOI 10.11582/2022.00008, licence CC BY 4.0. Mouse 97289, imaged in CA1 with the MINI2P miniature two-photon microscope while foraging in a square open field, from the deposit's ca1-97289 tarball: sessions 2021-03-16 (day A) and 2021-03-22 (day B), each 26,100 raw ScanImage pages (int16, 256 x 256, the focus alternating between two planes on every page, 14.5 frames per second) with their DeepLabCut tracking.

What was done

20210316_to_20210322/ holds one day pair.

  • Frames are written as acquired, interleaved and unregistered, to plain TIFFs without the ScanImage headers.
  • Positions are the midpoint of the two ears in arena centimetres: origin at the bottom-left corner of the box, computed per session from the four tracked box corners, so both days share one frame although the camera moved. Frames with low tracker confidence or impossible geometry are marked reliable = 0 and interpolated, positions are lightly smoothed, and scored marks reliable frames moving faster than 2 cm/s.
  • agent/ is what the agent trains on: all of day A, and day B's first 5 minutes (day_b_calibration/). judge/ is the rest of day B (day_b_stream/), which the verifier streams to the submitted decoder and grades on, and split.json, where its stretch before minute 15 of day B ends.
Downloads last month
327