benchmark_mouse_id stringlengths 3 3 | benchmark_session_id stringlengths 4 4 | session_path stringlengths 9 9 | neuron_file stringlengths 36 36 | position_file stringlengths 33 33 | neuron_count int64 31 168 | is_pretrain_48 bool 2
classes | is_held_out_10 bool 2
classes |
|---|---|---|---|---|---|---|---|
M01 | S001 | data/S001 | data/S001/neuron_signals_aligned.npy | data/S001/positions_keypoints.npy | 80 | true | false |
M01 | S002 | data/S002 | data/S002/neuron_signals_aligned.npy | data/S002/positions_keypoints.npy | 64 | true | false |
M01 | S003 | data/S003 | data/S003/neuron_signals_aligned.npy | data/S003/positions_keypoints.npy | 68 | false | true |
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 sessionmanifest/: lightweight parquet index tables for session discovery and benchmark split inspectionmanifest.json: compact release manifest
Benchmark manifests
The benchmark partition definitions are provided as parquet tables in manifest/.
all_sessions.parquetcandidate_pool_20260413.parquetpretrain_48_20260413.parquetheld_out_10_20260413.parquetheld_out_seen_9_20260413.parquetheld_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_namevalues such asheld_out_10orpretrain_48should 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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