Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Invalid value. in row 0
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
                  df = pandas_read_json(f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read
                  obj = self._get_object_parser(self.data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse
                  self._parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1403, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
              ValueError: Unexpected character found when decoding 'null'
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3357, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2111, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2315, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 163, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 137, 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

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WIATS: Weather-centric Intervention-Aware Time Series Multimodal Dataset

Dataset Structure

The dataset is organized into the following structure:

|-- subdataset1

|   |-- raw_data  # Original data files
|   |-- time_series # Rule-based Imputed data files
|   |   |-- id_1.parquet # Time series data for each subject can be multivariate, can be in csv, parquet, etc.
|   |   |-- id_2.parquet
|   |   |-- ...
|   |   |-- id_info.json # Metadata for each subject

|   |-- weather
|   |   |-- location_1
|   |   |   |-- raw_data
|   |   |   |   |-- daily_weather_raw_????.json
|   |   |   |   |-- ...
|   |   |   |   |-- daily_weather_????.csv
|   |   |   |   |-- ...
|   |   |   |   |-- hourly_weather_????.csv
|   |   |   |   |-- ...
|   |   |   |-- weather_report (can be flattened and use regex to extract the version)
|   |   |   |   |-- version_1
|   |   |   |   |   |-- weather_report_????.json
|   |   |   |   |   |-- ...
|   |   |   |   |-- version_2
|   |   |   |   |-- ...
|   |   |   |-- report_embedding # embedding for the weather report
|   |   |   |   |-- version_1
|   |   |   |   |   |-- report_embedding_????.pkl
|   |   |   |   |   |-- ...
|   |   |   |   |-- version_2
|   |   |   |   |-- ...

|   |   |-- location_2
|   |   |-- ...

|   |   |-- merged_report_embedding # merged embedding for multiple needed locations (optional)
|   |   |   |-- version_1
|   |   |   |   |-- report_embedding_????.pkl
|   |   |   |   |-- ...
|   |   |   |-- version_2
|   |   |   |-- ...

|   |-- scripts # Scripts for data processing, model training, and evaluation
|   |-- id_info.json # Metadata for whole dataset without preprocessing
|   |-- static_info.json # Static information for this dataset, including the dataset information, channel information, downtime reasons. 
|   |-- static_info_embeddings.pkl

|   |-- slim_data (optional)
|   |-- full_data (optional) # intermediate data during the data processing

|-- subdataset2
|-- ......

id_info.json Structure

The id_info.json file contains metadata for each subject in the dataset. Extracted from the raw dataset. The structure is as follows:

{
    "id_1": {
        "len": 1000, # Length of the time series data
        "sensor_downtime": {
            1: {
                "time": [yyyy-mm-dd hh:mm:ss, yyyy-mm-dd hh:mm:ss],
                "index": [start_index, end_index]
            },
            2: {
                "time": [yyyy-mm-dd hh:mm:ss, yyyy-mm-dd hh:mm:ss],
                "index": [start_index, end_index]
            },
            ...
        },
        "other_info_1": "value_1", # Other information about the subject customizable entry
        "other_info_2": "value_2",
        ...
    },
    "id_2": ...

}

static_info.json Structure

The static_info.json file contains static information for the whole dataset. The structure is as follows:

{
    "general_info": "description of the dataset",
    "downtime_prompt": "",
    "channel_info": {
        "id_1": "id_1 is xxx located in xxx",
        "id_2": "id_2 is xxx located in xxx",
        ...
    },
}
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