Fidel-TS
Collection
Toward real-world high fidelity multimodal time series forecasting benchmark • 6 items • Updated
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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
| |-- hetero
| | |-- room
| | | |-- room report / formal_report # room report (include control channels)
| | | | |-- room 1
| | | | | |-- all.json
| | | | | |-- flow.json
| | | | | |-- temperature.json
| | | | | |-- occupy.json
| | | | |-- room 2
| | | | | |-- all.json
| | | | | |-- flow.json
| | | | | |-- temperature.json
| | | | | |-- occupy.json
| | | | |-- ...
| | | |-- report embedding / formal_report # embedding for the room report
| | | | |-- room 1
| | | | | |-- all.pkl
| | | | | |-- flow.pkl
| | | | | |-- temperature.pkl
| | | | | |-- occupy.pkl
| | | | |-- room 2
| | | | | |-- all.pkl
| | | | | |-- flow.pkl
| | | | | |-- temperature.pkl
| | | | | |-- occupy.pkl
| | | | |-- ...
| | |-- weather
| | | |-- raw_data
| | | | |-- daily_weather_raw_????.json
| | | | |-- ...
| | | | |-- daily_weather_????.csv
| | | | |-- ...
| | | | |-- hourly_weather_????.csv
| | | | |-- ...
| | | |-- weather_report / formal_report (can be flattened and use regex to extract the version)
| | | | |-- version_1.json
| | | | |-- version_2.json
| | | | |-- ...
| | | |-- report_embedding / formal_report # embedding for the weather report
| | | | |-- version_1.pkl
| | | | |-- version_2.pkl
| | | | |-- ...
| |-- 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
|-- subdataset2
|-- ......
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": ...
}
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": {
"channel_1": "id_1 is xxx located in xxx; channel 1 is xxx",
"channel_2": "id_1 is xxx located in xxx; channel 2 is xxx",
...
},
"id_2": {
"channel_1": "id_2 is xxx located in xxx; channel 1 is xxx",
"channel_2": "id_2 is xxx located in xxx; channel 2 is xxx",
...
},
...
},
}