Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 620, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1886, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 639, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
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 1415, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 991, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1897, 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.
_data_files
list | _fingerprint
string | _format_columns
null | _format_kwargs
dict | _format_type
null | _output_all_columns
bool | _split
string |
|---|---|---|---|---|---|---|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
d2fc1d41241662f4
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
1ca1dbd6feade49e
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
a57e3d2a6697450c
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
370564e782888602
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
0cba933f1ec66c47
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
47410490f493b0b7
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
635b953dc832bc9e
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
7a0573f7895828fd
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
05f0afe06287a8b9
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
2d9ded26fe15bb3c
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
e10dce7c57fff5fc
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
7bc143a19c8bd672
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
3424eaae5899aff5
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
dd03b08af7c741f0
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
bd447d9c0c07937c
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
4d38c5065f2835c9
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
c82904d5f9145546
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
e015db97c386531f
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
cd59e05abe2e2770
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
82582bd1acafe54e
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
d6e8cdf69a975c6c
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
b8d9aee3cb51e8ec
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
89c86d7962eb5349
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
448fb22e5b6e9437
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
8a31d772034e594d
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
bf4bc44c5506137d
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
1830808a496b05b0
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
b4f39ee806d37dba
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
092569f1a5fa5da7
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
81598779003040cd
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
a5ee4f2288dd68c2
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
a7ae048fa408e55b
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
f6b05008ee32a1c2
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
a7811243097d0b37
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
adf62e125bcdf43c
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
6e04477dd131570a
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
d9428d77a54a3417
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
0f97141fa83dcd69
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
195d9c76b61ad1ba
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
0091bff4ab775848
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
b40b8669ae8c0151
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
dbb24d351cefd93c
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
46dc20e77af7f3d7
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
a0b9e81c75a569c2
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
5b746cb7f74951c4
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
06e92baf7ca98aac
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
81859e77ec5ac46a
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
802ee8413a54c0f2
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
d1060591a18c7e3d
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
db61d6cfb7c0cff2
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
92d4299278128179
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
4ea67ff9618a5289
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
a50a612541420e61
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
b4029290e293b141
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
bf55d5cb95c9b42f
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
1e31571054a97e22
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
693a7e4cd6ec3838
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
1364c5834ea64d66
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
c110ff94fd2eb144
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
1e285c7a2539b822
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
cf6db5d7af95eb5c
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
b78dcdafd965a8b0
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
e0f299d9072b0173
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
df3745cff471f422
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
c8e447b01b7a7204
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
43535714e59fc054
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
74ec277fc31deed5
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
2cabb1cc2de5e7b2
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
2e8a31c303f94634
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
40b9640a4fbad092
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
bf4bc44c5506137d
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
1830808a496b05b0
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
b4f39ee806d37dba
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
c8e5c971afce1800
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
850515dece29d5e2
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
4ba04be56fe66a01
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
a7ae048fa408e55b
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
9a721ad0ec555b3c
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
221afc785d259124
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
a7405808010f1f49
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
cebe0fcf6bb111a0
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
63cc5f8d1aa4dbd6
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
7417beef362cfdfd
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
593b72533491febc
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
0091bff4ab775848
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
b40b8669ae8c0151
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
1952d80db9c5dade
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
46dc20e77af7f3d7
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
14a7894843aaa133
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
2e32fc88b0bafc44
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
c5f321c5d0a30c6a
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
96eb72fc74d65f61
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
1934cf17de150b07
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
497f8b996e0685d1
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
6c991446da772fc8
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
bbab5bb125261aba
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
42866f8d5638b798
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
20e23af0abaddcc6
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
e0c605c1d4751255
| null |
{}
| null | false |
train
|
[
{
"filename": "data-00000-of-00001.arrow"
}
] |
a1b5694c0b0e19bc
| null |
{}
| null | false |
train
|
End of preview.
TSFM-ScalingLaws-Dataset
This is the dataset for the paper Towards Neural Scaling Laws for Time Series Foundation Models.
Code: https://github.com/Qingrenn/TSFM-ScalingLaws
Well-trained models: https://huggingface.co/PeacefulData/TSFM-ScalingLaws-Checkpoints
Dataset Summary
| Domain | Transport | Climate | Energy | Cloud | Health | Sales | Web | Total |
|---|---|---|---|---|---|---|---|---|
| Datasets | 8 | 2 | 14 | 3 | 9 | 1 | 2 | 39 |
| Time Points | 4.82B | 4.73B | 4.76B | 2.15B | 232M | 140M | 40M | 16.8B |
| Proportion | 28.52% | 28.06% | 28.21% | 12.76% | 1.38% | 0.83% | 0.24% | 100% |
Dataset Details
| Dataset | Domain | Timepoint | SequenceNum | Proportion |
|---|---|---|---|---|
| cmip6_1850 | Climate | 1435238400 | 196608 | 0.085 |
| cmip6_1855 | Climate | 1435238400 | 196608 | 0.085 |
| era5_1990 | Climate | 930349056 | 106496 | 0.055 |
| era5_1989 | Climate | 930349056 | 106496 | 0.055 |
| azure_vm_traces_2017 | Cloud | 885522908 | 159472 | 0.052 |
| alibaba_cluster_trace_2018 | Cloud | 190385060 | 116818 | 0.011 |
| borg_cluster_data_2011 | Cloud | 1075105708 | 286772 | 0.063 |
| PEMS07 | Energy | 24921792 | 883 | 0.0014 |
| elf | Energy | 21792 | 1 | 1.29e-06 |
| bdg-2_panther | Energy | 919800 | 105 | 5.45e-05 |
| buildings_900k | Energy | 4718473097 | 538577 | 0.27 |
| solar_power | Energy | 7397222 | 1 | 0.00043 |
| gfc17_load | Energy | 140352 | 8 | 8.32e-06 |
| gfc14_load | Energy | 17520 | 1 | 1.039-06 |
| bdg-2_bear | Energy | 1482312 | 91 | 8.79e-05 |
| bdg-2_fox | Energy | 2324568 | 135 | 0.00013 |
| elecdemand | Energy | 17520 | 1 | 1.039e-06 |
| covid19_energy | Energy | 31912 | 1 | 1.89e-06 |
| spain | Energy | 35064 | 1 | 2.079e-06 |
| australian_electricity_demand | Energy | 1153584 | 5 | 6.84e-05 |
| pdb | Energy | 17520 | 1 | 1.039e-06 |
| sceaux | Energy | 34223 | 1 | 2.029e-06 |
| AtrialFibrillation | Health | 38400 | 60 | 2.27e-06 |
| SelfRegulationSCP2 | Health | 3064320 | 2660 | 0.00018 |
| SelfRegulationSCP1 | Health | 3015936 | 3366 | 0.00017 |
| IEEEPPG | Health | 15480000 | 15480 | 0.00091 |
| TDBrain | Health | 73299996 | 28644 | 0.0043 |
| BIDMC32HR | Health | 63592000 | 15898 | 0.0037 |
| PigCVP | Health | 624000 | 312 | 3.7009e-05 |
| PigArtPressure | Health | 624000 | 312 | 3.7009e-05 |
| MotorImagery | Health | 72576000 | 24192 | 0.0043 |
| favorita_sales | Sales | 139179538 | 111840 | 0.0082 |
| largest_2019 | Transport | 904032000 | 8600 | 0.053 |
| largest_2021 | Transport | 898565760 | 8548 | 0.053 |
| PEMS04 | Transport | 15649632 | 921 | 0.00092 |
| largest_2020 | Transport | 902397888 | 8561 | 0.053 |
| largest_2017 | Transport | 861563520 | 8196 | 0.051 |
| PEMS_BAY | Transport | 16941600 | 325 | 0.0010 |
| traffic_weekly | Transport | 82752 | 862 | 4.90e-06 |
| Q-TRAFFIC | Transport | 264386688 | 45148 | 0.015 |
| largest_2018 | Transport | 885951360 | 8428 | 0.052 |
| LOOP_SEATTLE | Transport | 33953760 | 323 | 0.0020 |
| PEMS08 | Transport | 9106560 | 510 | 0.00054 |
| kaggle_web_traffic_weekly | Web | 16537182 | 145063 | 0.00098 |
| wiki-rolling_nips | Web | 40619100 | 47675 | 0.0024 |
- Downloads last month
- 903