Datasets:
Formats:
parquet
Sub-tasks:
multi-class-classification
univariate-time-series-forecasting
tabular-multi-class-classification
Languages:
English
Size:
1M - 10M
ArXiv:
Tags:
timeseries
time-series
time-series-forecasting
tabular-regression
tabular-classification
univariate-time-series-forecasting
License:
Update README.md
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README.md
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@@ -6368,14 +6368,14 @@ All datasets formatting follows a similar structure.
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### Data Fields
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The data fields are the same among all datasets and splits.
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The datetime column is left out when no data is available.
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- `datetime`: a `timestamp[ns]` sequence, containing event datetime if available.
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- `type_event`: a classification label (`int64`) sequence.
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- `time_since_last_event`: a `float64` sequence of inter-event times.
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- `time_since_start`: a `float64` sequence of event timestamps since sequence start.
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- `seq_idx`: an `int64` feature uniquely identifying sequences in the split.
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- `dim_process`: an `int64` feature representing total number of classes in the dataset.
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- `seq_len`: an `int64` feature containing sequence length.
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The classification labels differ for each dataset.
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The corresponding labels for each event type can be read from metadata like this
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| 6368 |
### Data Fields
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| 6369 |
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| 6370 |
The data fields are the same among all datasets and splits.
|
| 6371 |
+
The datetime column is optional and left out when no data is available.
|
|
|
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| 6372 |
- `type_event`: a classification label (`int64`) sequence.
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| 6373 |
- `time_since_last_event`: a `float64` sequence of inter-event times.
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| 6374 |
- `time_since_start`: a `float64` sequence of event timestamps since sequence start.
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| 6375 |
- `seq_idx`: an `int64` feature uniquely identifying sequences in the split.
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| 6376 |
- `dim_process`: an `int64` feature representing total number of classes in the dataset.
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| 6377 |
- `seq_len`: an `int64` feature containing sequence length.
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| 6378 |
+
- `datetime`: (optional) a `timestamp[ns]` sequence, containing event datetime if available.
|
| 6379 |
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| 6380 |
The classification labels differ for each dataset.
|
| 6381 |
The corresponding labels for each event type can be read from metadata like this
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