Search is not available for this dataset
client_id int64 | shifts list | global_train int64 | target__clf__global__accuracy+f1_macro int64 | target__anomaly__global__roc_auc int64 | target__reg__local__r2 list | target__forecast__local__r2 list |
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End of preview. Expand in Data Studio
ESdB: Embeddings for Sequential Data Benchmark
ESdB provides reproducible splits, evaluation shifts, and downstream targets for benchmarking representations of sequential data.
This repository contains benchmark annotations only. It does not redistribute the original events or input features. Original datasets must be obtained from their respective sources and can be reproduced with the preprocessing code in the ESdB repository.
Structure
Each dataset contains train and test Parquet directories:
<dataset>/train/
<dataset>/test/
The files contain:
- an identifier inherited from the source dataset;
shifts: positions used to construct local downstream targets;global_train: the global-task train/test assignment;target__*: source-provided or ESdB-derived downstream targets.
Datasets
30music, age, alpha, electric_devices, ett, favorita, rossman,
taobao, twitter, x5-retail, yambda, and zvuk.
License
CC BY 4.0 applies to the benchmark annotations, split definitions, evaluation shifts, and documentation created by the ESdB authors. It does not relicense the original source datasets. Source-provided identifiers and labels remain subject to their respective source terms.
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