Datasets:
Formats:
parquet
Size:
100M - 1B
ArXiv:
Tags:
timeseries
timeseries clustering
changepoint-detection
correlation-structure
Synthetic
benchmark
License:
Added colab badge for data usage examples
Browse files
README.md
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- **reduced_25_segments**(_exploratory or _confirmatory): same data including 25 of the original 100 segments (selected at random)
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### Quick Start
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1. Load the data for all 30 exploratory subjects for the complete and correlated data variant into pandas df:
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```python
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import pandas as pd
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df_correlated_labels.head()
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```
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... more examples coming soon
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## Authors
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- Isabella Degen, University of Bristol
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- Zahraa S Abdallah, University of Bristol
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- **reduced_25_segments**(_exploratory or _confirmatory): same data including 25 of the original 100 segments (selected at random)
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### Quick Start
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Try our dataset loading examples in Google Colab to get started quickly!
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[](https://colab.research.google.com/github/isabelladegen/corrclust-validation/blob/main/src/utils/hf_tooling/CSTS_HuggingFace_UsageExample.ipynb)
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#### Example
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Steps to load the data and labels for the complete correlated data variant:
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1. Load the data for all 30 exploratory subjects for the complete and correlated data variant into pandas df:
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```python
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import pandas as pd
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df_correlated_labels.head()
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```
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## Authors
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- Isabella Degen, University of Bristol
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- Zahraa S Abdallah, University of Bristol
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