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benchmark_mouse_id
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benchmark_session_id
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session_path
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neuron_file
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position_file
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neuron_count
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2 classes
is_held_out_10
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M01
S001
data/S001
data/S001/neuron_signals_aligned.npy
data/S001/positions_keypoints.npy
80
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M01
S002
data/S002
data/S002/neuron_signals_aligned.npy
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64
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M01
S003
data/S003
data/S003/neuron_signals_aligned.npy
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68
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M01
S004
data/S004
data/S004/neuron_signals_aligned.npy
data/S004/positions_keypoints.npy
69
true
false
M02
S005
data/S005
data/S005/neuron_signals_aligned.npy
data/S005/positions_keypoints.npy
60
true
false
M03
S006
data/S006
data/S006/neuron_signals_aligned.npy
data/S006/positions_keypoints.npy
74
true
false
M03
S007
data/S007
data/S007/neuron_signals_aligned.npy
data/S007/positions_keypoints.npy
97
true
false
M03
S008
data/S008
data/S008/neuron_signals_aligned.npy
data/S008/positions_keypoints.npy
60
true
false
M03
S009
data/S009
data/S009/neuron_signals_aligned.npy
data/S009/positions_keypoints.npy
35
true
false
M03
S010
data/S010
data/S010/neuron_signals_aligned.npy
data/S010/positions_keypoints.npy
40
true
false
M03
S011
data/S011
data/S011/neuron_signals_aligned.npy
data/S011/positions_keypoints.npy
60
true
false
M03
S012
data/S012
data/S012/neuron_signals_aligned.npy
data/S012/positions_keypoints.npy
43
true
false
M03
S013
data/S013
data/S013/neuron_signals_aligned.npy
data/S013/positions_keypoints.npy
38
true
false
M03
S014
data/S014
data/S014/neuron_signals_aligned.npy
data/S014/positions_keypoints.npy
83
true
false
M03
S015
data/S015
data/S015/neuron_signals_aligned.npy
data/S015/positions_keypoints.npy
58
true
false
M03
S016
data/S016
data/S016/neuron_signals_aligned.npy
data/S016/positions_keypoints.npy
95
true
false
M03
S017
data/S017
data/S017/neuron_signals_aligned.npy
data/S017/positions_keypoints.npy
93
false
true
M03
S018
data/S018
data/S018/neuron_signals_aligned.npy
data/S018/positions_keypoints.npy
83
true
false
M03
S019
data/S019
data/S019/neuron_signals_aligned.npy
data/S019/positions_keypoints.npy
85
true
false
M04
S020
data/S020
data/S020/neuron_signals_aligned.npy
data/S020/positions_keypoints.npy
43
true
false
M04
S021
data/S021
data/S021/neuron_signals_aligned.npy
data/S021/positions_keypoints.npy
58
false
true
M04
S022
data/S022
data/S022/neuron_signals_aligned.npy
data/S022/positions_keypoints.npy
41
true
false
M05
S023
data/S023
data/S023/neuron_signals_aligned.npy
data/S023/positions_keypoints.npy
40
true
false
M05
S024
data/S024
data/S024/neuron_signals_aligned.npy
data/S024/positions_keypoints.npy
82
true
false
M05
S025
data/S025
data/S025/neuron_signals_aligned.npy
data/S025/positions_keypoints.npy
96
true
false
M05
S026
data/S026
data/S026/neuron_signals_aligned.npy
data/S026/positions_keypoints.npy
95
true
false
M05
S027
data/S027
data/S027/neuron_signals_aligned.npy
data/S027/positions_keypoints.npy
77
true
false
M05
S028
data/S028
data/S028/neuron_signals_aligned.npy
data/S028/positions_keypoints.npy
71
true
false
M05
S029
data/S029
data/S029/neuron_signals_aligned.npy
data/S029/positions_keypoints.npy
64
false
true
M06
S030
data/S030
data/S030/neuron_signals_aligned.npy
data/S030/positions_keypoints.npy
42
true
false
M06
S031
data/S031
data/S031/neuron_signals_aligned.npy
data/S031/positions_keypoints.npy
31
true
false
M06
S032
data/S032
data/S032/neuron_signals_aligned.npy
data/S032/positions_keypoints.npy
56
true
false
M06
S033
data/S033
data/S033/neuron_signals_aligned.npy
data/S033/positions_keypoints.npy
46
true
false
M07
S034
data/S034
data/S034/neuron_signals_aligned.npy
data/S034/positions_keypoints.npy
88
true
false
M07
S035
data/S035
data/S035/neuron_signals_aligned.npy
data/S035/positions_keypoints.npy
32
true
false
M07
S036
data/S036
data/S036/neuron_signals_aligned.npy
data/S036/positions_keypoints.npy
106
true
false
M07
S037
data/S037
data/S037/neuron_signals_aligned.npy
data/S037/positions_keypoints.npy
127
true
false
M07
S038
data/S038
data/S038/neuron_signals_aligned.npy
data/S038/positions_keypoints.npy
168
false
true
M08
S039
data/S039
data/S039/neuron_signals_aligned.npy
data/S039/positions_keypoints.npy
59
false
true
M09
S040
data/S040
data/S040/neuron_signals_aligned.npy
data/S040/positions_keypoints.npy
64
true
false
M09
S041
data/S041
data/S041/neuron_signals_aligned.npy
data/S041/positions_keypoints.npy
116
true
false
M10
S042
data/S042
data/S042/neuron_signals_aligned.npy
data/S042/positions_keypoints.npy
86
true
false
M10
S043
data/S043
data/S043/neuron_signals_aligned.npy
data/S043/positions_keypoints.npy
104
false
true
M10
S044
data/S044
data/S044/neuron_signals_aligned.npy
data/S044/positions_keypoints.npy
81
true
false
M11
S045
data/S045
data/S045/neuron_signals_aligned.npy
data/S045/positions_keypoints.npy
93
false
true
M11
S046
data/S046
data/S046/neuron_signals_aligned.npy
data/S046/positions_keypoints.npy
168
true
false
M11
S047
data/S047
data/S047/neuron_signals_aligned.npy
data/S047/positions_keypoints.npy
137
true
false
M11
S048
data/S048
data/S048/neuron_signals_aligned.npy
data/S048/positions_keypoints.npy
161
true
false
M12
S049
data/S049
data/S049/neuron_signals_aligned.npy
data/S049/positions_keypoints.npy
145
true
false
M13
S050
data/S050
data/S050/neuron_signals_aligned.npy
data/S050/positions_keypoints.npy
50
true
false
M13
S051
data/S051
data/S051/neuron_signals_aligned.npy
data/S051/positions_keypoints.npy
49
true
false
M13
S052
data/S052
data/S052/neuron_signals_aligned.npy
data/S052/positions_keypoints.npy
46
false
true
M13
S053
data/S053
data/S053/neuron_signals_aligned.npy
data/S053/positions_keypoints.npy
96
true
false
M13
S054
data/S054
data/S054/neuron_signals_aligned.npy
data/S054/positions_keypoints.npy
105
true
false
M14
S055
data/S055
data/S055/neuron_signals_aligned.npy
data/S055/positions_keypoints.npy
64
false
true
M14
S056
data/S056
data/S056/neuron_signals_aligned.npy
data/S056/positions_keypoints.npy
95
true
false
M15
S057
data/S057
data/S057/neuron_signals_aligned.npy
data/S057/positions_keypoints.npy
32
true
false
M15
S058
data/S058
data/S058/neuron_signals_aligned.npy
data/S058/positions_keypoints.npy
36
true
false

FreeCAB_Dataset

Public benchmark release for the Neuron-Bench evaluation suite.

This dataset is organized as session-level binary array files for benchmark evaluation rather than as a row-wise tabular dataset. The Hugging Face viewer is configured to expose the parquet files in manifest/ as lightweight session-level index tables. The benchmark partitions shown by the viewer therefore correspond to the explicit manifest tables below, not to auto-inferred platform splits.

Contents

  • data/: one directory per benchmark session
  • manifest/: lightweight parquet index tables for session discovery and benchmark split inspection
  • manifest.json: compact release manifest

Benchmark manifests

The benchmark partition definitions are provided as parquet tables in manifest/.

  • all_sessions.parquet
  • candidate_pool_20260413.parquet
  • pretrain_48_20260413.parquet
  • held_out_10_20260413.parquet
  • held_out_seen_9_20260413.parquet
  • held_out_unseen_1_20260413.parquet

These tables define the benchmark session partitions used by Neuron-Bench. Each row points to a benchmark session through a relative session_path such as data/S017.

Per-session files

  • neuron_signals_aligned.npy: aligned neural activity array with shape (neurons, time)
  • positions_keypoints.npy: aligned pose array with shape (time, keypoints, dims)
  • session_metadata.json: public per-session benchmark metadata

Notes

  • This public package does not include internal path mappings or private provenance tables.
  • Session identifiers (S001, S002, ...) are the canonical identifiers used by the public benchmark.
  • The parquet manifest files are lightweight indices for browsing and split inspection; the benchmark data consumed by Neuron-Bench reside under data/ as per-session NumPy arrays.
  • In the Hugging Face interface, config_name values such as held_out_10 or pretrain_48 should be interpreted as benchmark partitions rather than conventional train/validation/test splits.
  • Review-time hosting may use a private preview URL; camera-ready release should point to the final public URL.
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