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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
dataset: string
method: string
protocol: string
direction: string
seed: int64
rounds: int64
num_trials: int64
training_repeat: int64
trials: list<item: struct<r1: double, mAP: double, mINP: double, trial: int64>>
mean: struct<r1: double, mAP: double, mINP: double>
sample_std: struct<r1: double, mAP: double, mINP: double>
metric_source: string
vs
schema: int64
dataset: string
lmdb: string
clients: struct<1: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 2: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 3: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 4: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 5: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 6: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>>
num_classes: int64
query: list<item: struct<pid: int64, modality: string, modality_id: int64, camera: string, camid: int64, tracklet_id: string, frames: list<item: string>>>
gallery: list<item: struct<pid: int64, modality: string, modality_id: int64, camera: string, camid: int64, tracklet_id: string, frames: list<item: string>>>
protocol: string
label_note: string
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 764, in write_table
self.write_rows_on_file() # in case there are buffered rows to write first
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
table = pa.concat_tables(self.current_rows)
File "pyarrow/table.pxi", line 6321, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
dataset: string
method: string
protocol: string
direction: string
seed: int64
rounds: int64
num_trials: int64
training_repeat: int64
trials: list<item: struct<r1: double, mAP: double, mINP: double, trial: int64>>
mean: struct<r1: double, mAP: double, mINP: double>
sample_std: struct<r1: double, mAP: double, mINP: double>
metric_source: string
vs
schema: int64
dataset: string
lmdb: string
clients: struct<1: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 2: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 3: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 4: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 5: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 6: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>>
num_classes: int64
query: list<item: struct<pid: int64, modality: string, modality_id: int64, camera: string, camid: int64, tracklet_id: string, frames: list<item: string>>>
gallery: list<item: struct<pid: int64, modality: string, modality_id: int64, camera: string, camid: int64, tracklet_id: string, frames: list<item: string>>>
protocol: string
label_note: string
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
table = pa.concat_tables(self.current_rows)
File "pyarrow/table.pxi", line 6321, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
dataset: string
method: string
protocol: string
direction: string
seed: int64
rounds: int64
num_trials: int64
training_repeat: int64
trials: list<item: struct<r1: double, mAP: double, mINP: double, trial: int64>>
mean: struct<r1: double, mAP: double, mINP: double>
sample_std: struct<r1: double, mAP: double, mINP: double>
metric_source: string
vs
schema: int64
dataset: string
lmdb: string
clients: struct<1: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 2: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 3: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 4: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 5: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>, 6: list<item: struct<raw_pid: string, pid: int64, camera: string, camid: int64, tracklet_id: string, frames_ir: list<item: string>, frames_rgb: list<item: string>>>>
num_classes: int64
query: list<item: struct<pid: int64, modality: string, modality_id: int64, camera: string, camid: int64, tracklet_id: string, frames: list<item: string>>>
gallery: list<item: struct<pid: int64, modality: string, modality_id: int64, camera: string, camid: int64, tracklet_id: string, frames: list<item: string>>>
protocol: string
label_note: string
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
dataset string | file string | method string | protocol string | seed int64 | split int64 | rounds int64 | temporal_pooling string | bytes int64 | evaluation dict | training_repeat int64 |
|---|---|---|---|---|---|---|---|---|---|---|
sysu | sysu_uci.pth | L2RW+ | uCI | 0 | null | 50 | null | 97,640,461 | {
"direction": "infrared-to-visible",
"r1": 39.9789634347,
"mAP": 41.4412005339,
"mINP": 29.2245966337
} | null |
llcm | llcm_uci.pth | L2RW+ | uCI | 0 | null | 50 | null | 100,245,517 | {
"direction": "infrared-to-visible",
"r1": 32.1574103832,
"mAP": 38.4751834021,
"mINP": 35.0846843659
} | null |
vcm | vcm_uci.pth | L2RW+ | uCI | 0 | null | 100 | mean | 94,391,533 | {
"direction": "infrared-to-visible",
"r1": 48.8438040018,
"mAP": 37.7124857991,
"mINP": 15.710494634
} | null |
bupt | bupt_uci.pth | L2RW+ | uCI | 0 | null | 100 | mean | 94,391,533 | {
"direction": "infrared-to-visible",
"r1": 44.7761207819,
"mAP": 43.0941851971,
"mINP": 34.1684740738
} | null |
regdb | regdb/trial_01.pth | L2RW+ | uCI | 0 | 1 | 50 | null | 96,070,829 | {
"direction": "infrared-to-visible",
"r1": 24.6601939201,
"mAP": 25.8066609045,
"mINP": 18.1580917585
} | 2 |
regdb | regdb/trial_02.pth | L2RW+ | uCI | 0 | 2 | 50 | null | 96,070,829 | {
"direction": "infrared-to-visible",
"r1": 28.3009707928,
"mAP": 27.7987266818,
"mINP": 19.1405465536
} | 2 |
regdb | regdb/trial_03.pth | L2RW+ | uCI | 0 | 3 | 50 | null | 96,070,829 | {
"direction": "infrared-to-visible",
"r1": 23.6407771707,
"mAP": 25.1274099368,
"mINP": 17.1198865832
} | 2 |
regdb | regdb/trial_04.pth | L2RW+ | uCI | 0 | 4 | 50 | null | 96,070,829 | {
"direction": "infrared-to-visible",
"r1": 27.0873785019,
"mAP": 28.1734153453,
"mINP": 20.2595493746
} | 2 |
regdb | regdb/trial_05.pth | L2RW+ | uCI | 0 | 5 | 50 | null | 96,070,829 | {
"direction": "infrared-to-visible",
"r1": 29.2718440294,
"mAP": 28.6099358325,
"mINP": 19.8215134785
} | 2 |
regdb | regdb/trial_06.pth | L2RW+ | uCI | 0 | 6 | 50 | null | 96,070,829 | {
"direction": "infrared-to-visible",
"r1": 28.1067967415,
"mAP": 28.5295298491,
"mINP": 20.5464491795
} | 2 |
regdb | regdb/trial_07.pth | L2RW+ | uCI | 0 | 7 | 50 | null | 96,070,829 | {
"direction": "infrared-to-visible",
"r1": 24.3689313531,
"mAP": 24.7482700265,
"mINP": 17.4451357944
} | 2 |
regdb | regdb/trial_08.pth | L2RW+ | uCI | 0 | 8 | 50 | null | 96,070,829 | {
"direction": "infrared-to-visible",
"r1": 29.0291249752,
"mAP": 29.2087718889,
"mINP": 20.68671931
} | 2 |
regdb | regdb/trial_09.pth | L2RW+ | uCI | 0 | 9 | 50 | null | 96,070,829 | {
"direction": "infrared-to-visible",
"r1": 19.9514567852,
"mAP": 21.2312646811,
"mINP": 14.1767120784
} | 2 |
regdb | regdb/trial_10.pth | L2RW+ | uCI | 0 | 10 | 50 | null | 96,070,829 | {
"direction": "infrared-to-visible",
"r1": 29.3689310551,
"mAP": 29.0079935354,
"mINP": 21.109483639
} | 2 |
regdb | null | l2rwplus | uCI | 0 | null | 50 | null | null | null | 2 |
bupt | null | null | uCI | null | null | null | null | null | null | null |
llcm | null | null | uCI | null | null | null | null | null | null | null |
regdb | null | null | uCI | null | null | null | null | null | null | null |
sysu | null | null | uCI | null | null | null | null | null | null | null |
vcm | null | null | uCI | null | null | null | null | null | null | null |
null | lmdb/sysu.lmdb | null | null | null | null | null | null | 616,955,904 | null | null |
null | indices/sysu_uci.json | null | null | null | null | null | null | 1,171,814 | null | null |
null | lmdb/regdb.lmdb | null | null | null | null | null | null | 90,083,328 | null | null |
null | indices/regdb_uci.json | null | null | null | null | null | null | 3,881,053 | null | null |
null | lmdb/llcm.lmdb | null | null | null | null | null | null | 743,784,448 | null | null |
null | indices/llcm_uci.json | null | null | null | null | null | null | 2,280,708 | null | null |
null | lmdb/vcm.lmdb | null | null | null | null | null | null | 7,627,268,096 | null | null |
null | indices/vcm_uci.json | null | null | null | null | null | null | 13,114,197 | null | null |
null | lmdb/bupt.lmdb | null | null | null | null | null | null | 36,185,735,168 | null | null |
null | indices/bupt_uci.json | null | null | null | null | null | null | 58,921,071 | null | null |
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