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The dataset generation failed
Error code: DatasetGenerationError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0x80 in position 0: invalid start byte
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 122, in _generate_tables
pa_table = paj.read_json(
File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
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.ArrowInvalid: JSON parse error: Invalid value. in row 0
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 1995, in _prepare_split_single
for _, table in generator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 145, in _generate_tables
dataset = json.load(f)
File "/usr/local/lib/python3.9/json/__init__.py", line 293, in load
return loads(fp.read(),
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1104, in read_with_retries
out = read(*args, **kwargs)
File "/usr/local/lib/python3.9/codecs.py", line 322, in decode
(result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 0: invalid start byte
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 1529, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1154, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2038, 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.
conversations list | id string |
|---|---|
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [1 0 1 0 1 0 2 0 0 0 0 0], and the recorded number of larcenies is [0 0 3 0 3 1 2 2 1 2 1 1]. The recording time of the historical data is 'January ... | train_NYCmulti_region_0_1_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_1_2_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_2_3_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [1 1 0 0 3 0 0 1 1 0 0 1], and the recorded number of larcenies is [2 0 3 0 3 2 1 2 2 3 2 3]. The recording time of the historical data is 'January ... | train_NYCmulti_region_3_4_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_4_5_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_5_6_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_6_7_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_7_8_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_8_9_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_9_10_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 1 0 0 1 0 0 0 1 0 0 0], and the recorded number of larcenies is [2 0 3 1 1 1 2 0 1 0 0 1]. The recording time of the historical data is 'January ... | train_NYCmulti_region_10_11_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_11_12_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_12_13_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [1 0 0 0 0 1 0 0 0 1 0 0], and the recorded number of larcenies is [1 1 0 2 0 1 0 3 7 2 1 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_13_14_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_14_15_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_15_16_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_16_17_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_17_18_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_18_19_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_19_20_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_20_21_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 1 1 0 0 0 0], and the recorded number of larcenies is [1 1 0 0 1 2 2 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_21_22_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [1 0 0 1 0 0 1 0 1 0 0 0], and the recorded number of larcenies is [1 0 2 1 1 3 3 2 1 6 1 1]. The recording time of the historical data is 'January ... | train_NYCmulti_region_22_23_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_23_24_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [2 0 1 1 2 2 1 1 0 2 0 0], and the recorded number of larcenies is [2 0 1 1 1 2 3 1 2 1 3 2]. The recording time of the historical data is 'January ... | train_NYCmulti_region_24_25_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_25_26_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_26_27_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 1 0 1 0 0 0 0], and the recorded number of larcenies is [1 0 2 0 2 0 1 0 0 1 1 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_27_28_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 1 0 0 0 0 0 0], and the recorded number of larcenies is [3 1 2 1 5 2 3 0 3 3 2 4]. The recording time of the historical data is 'January ... | train_NYCmulti_region_28_29_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_29_30_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_30_31_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_31_32_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_32_33_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_33_34_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_34_35_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_35_36_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_36_37_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_37_38_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_38_39_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 2 2 2 0 0 0 2 0 1], and the recorded number of larcenies is [0 0 2 1 1 1 0 0 0 1 0 1]. The recording time of the historical data is 'January ... | train_NYCmulti_region_39_40_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_40_41_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_41_42_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_42_43_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 1 0 0 0 0 0 0 1 0 1], and the recorded number of larcenies is [6 6 2 1 2 1 5 7 1 6 2 2]. The recording time of the historical data is 'January ... | train_NYCmulti_region_43_44_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_44_45_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [1 0 1 0 0 1 0 0 1 0 0 0], and the recorded number of larcenies is [3 2 0 1 0 1 5 4 4 2 2 2]. The recording time of the historical data is 'January ... | train_NYCmulti_region_45_46_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_46_47_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_47_48_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 1 1 0 0 0 0 1 0], and the recorded number of larcenies is [1 1 1 2 1 4 1 1 1 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_48_49_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [1 1 0 0 0 0 0 1 0 0 0 2], and the recorded number of larcenies is [0 1 1 0 1 0 0 0 1 1 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_49_50_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_50_51_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 1 0 0 1], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_51_52_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_52_53_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_53_54_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 1 0 0 0 0 0 1 0 0 2], and the recorded number of larcenies is [0 0 2 1 0 0 0 0 1 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_54_55_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_55_56_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_56_57_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_57_58_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_58_59_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 1 0 0 0 1 1 0 0 0 1 0], and the recorded number of larcenies is [0 1 1 1 4 2 1 1 0 0 0 1]. The recording time of the historical data is 'January ... | train_NYCmulti_region_59_60_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 1 0 0 0 0 0 2 0 2], and the recorded number of larcenies is [4 2 0 3 5 1 6 2 2 3 5 4]. The recording time of the historical data is 'January ... | train_NYCmulti_region_60_61_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_61_62_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 2 0 0 2 0 0 0 0 0], and the recorded number of larcenies is [0 1 1 0 3 1 0 0 0 2 3 1]. The recording time of the historical data is 'January ... | train_NYCmulti_region_62_63_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_63_64_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 1 0 0 1 0 0 0 0 0 1], and the recorded number of larcenies is [0 0 0 2 1 0 0 0 1 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_64_65_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_65_66_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 2 2 0 0 1 0 0 2 1 0], and the recorded number of larcenies is [3 1 1 2 4 1 2 3 2 3 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_66_67_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_67_68_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_68_69_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_69_70_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_70_71_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_71_72_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_72_73_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_73_74_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_74_75_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_75_76_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_76_77_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_77_78_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [1 0 0 0 2 0 1 0 0 1 0 0], and the recorded number of larcenies is [0 1 3 1 3 0 3 0 4 2 3 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_78_79_len_0 |
[
{
"from": "human",
"value": "Given the historical data for crime over 12 time steps in a specific region of New York City, the recorded number of burglaries is [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded number of larcenies is [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'January ... | train_NYCmulti_region_79_80_len_0 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [18 15 8 21 18 22 17 21 31 18 31 31], and the recorded taxi outflows are [2 0 0 0 3 2 0 0 0 2 0 0]. The recording time of the historical data is 'Febru... | train_NYCmulti_region_0_1_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded taxi outflows are [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_1_2_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [0 0 0 0 0 0 0 0 1 0 0 0], and the recorded taxi outflows are [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_2_3_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [22 21 18 19 21 39 31 36 30 36 36 31], and the recorded taxi outflows are [24 18 13 12 14 18 17 11 12 18 19 20]. The recording time of the historical d... | train_NYCmulti_region_3_4_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [0 0 0 0 0 0 0 0 0 0 0 0], and the recorded taxi outflows are [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_4_5_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [0 0 0 0 0 1 0 0 0 1 0 0], and the recorded taxi outflows are [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_5_6_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [16 18 23 26 19 17 29 20 15 23 25 27], and the recorded taxi outflows are [18 17 15 18 9 11 13 13 6 10 11 8]. The recording time of the historical data... | train_NYCmulti_region_6_7_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [0 0 0 0 0 0 0 0 0 0 0 1], and the recorded taxi outflows are [0 0 0 0 0 0 0 0 0 1 0 1]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_7_8_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [0 0 0 0 0 1 0 1 1 0 0 0], and the recorded taxi outflows are [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_8_9_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [0 1 2 0 1 2 1 0 1 2 2 3], and the recorded taxi outflows are [0 1 3 1 0 1 1 0 1 0 3 1]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_9_10_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [0 0 0 0 1 0 0 0 0 0 0 0], and the recorded taxi outflows are [1 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_10_11_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [27 14 15 13 15 12 12 10 12 6 7 8], and the recorded taxi outflows are [0 0 6 0 8 3 8 16 18 10 12 11]. The recording time of the historical data is 'Fe... | train_NYCmulti_region_11_12_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [50 71 104 87 88 97 93 81 90 110 110 104], and the recorded taxi outflows are [41 68 70 77 99 121 103 97 99 87 109 89]. The recording time of the histo... | train_NYCmulti_region_12_13_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [1 2 1 4 1 3 1 4 1 1 0 0], and the recorded taxi outflows are [0 0 0 0 0 1 1 0 1 0 0 0]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_13_14_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [0 0 0 0 1 0 0 0 1 0 0 2], and the recorded taxi outflows are [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_14_15_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [0 0 0 1 1 0 1 0 0 0 0 1], and the recorded taxi outflows are [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_15_16_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [3 6 5 1 5 7 2 8 8 5 2 5], and the recorded taxi outflows are [2 1 1 2 1 2 1 1 2 0 0 2]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_16_17_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [0 1 0 0 0 1 0 2 0 0 2 0], and the recorded taxi outflows are [0 0 0 0 0 0 0 0 0 0 0 0]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_17_18_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [0 0 0 0 0 0 0 0 0 1 1 1], and the recorded taxi outflows are [0 0 0 0 0 0 0 0 1 0 0 0]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_18_19_len_1 |
[
{
"from": "human",
"value": "Given the historical data for taxi flow over 12 time steps in a specific region of New York City, the recorded taxi inflows are [0 0 0 1 1 0 3 0 1 0 1 0], and the recorded taxi outflows are [0 0 0 0 0 0 1 1 0 0 1 0]. The recording time of the historical data is 'February 19, 201... | train_NYCmulti_region_19_20_len_1 |
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