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pretty_name: "ESdB: Embeddings for Sequential Data Benchmark"
license: cc-by-4.0
language:
- en
task_categories:
- tabular-classification
- tabular-regression
- time-series-forecasting
configs:
- config_name: 30music
data_files:
- split: train
path: 30music/train/*.parquet
- split: test
path: 30music/test/*.parquet
- config_name: age
data_files:
- split: train
path: age/train/*.parquet
- split: test
path: age/test/*.parquet
- config_name: alpha
data_files:
- split: train
path: alpha/train/*.parquet
- split: test
path: alpha/test/*.parquet
- config_name: electric_devices
data_files:
- split: train
path: electric_devices/train/*.parquet
- split: test
path: electric_devices/test/*.parquet
- config_name: ett
data_files:
- split: train
path: ett/train/*.parquet
- split: test
path: ett/test/*.parquet
- config_name: favorita
data_files:
- split: train
path: favorita/train/*.parquet
- split: test
path: favorita/test/*.parquet
- config_name: rossman
data_files:
- split: train
path: rossman/train/*.parquet
- split: test
path: rossman/test/*.parquet
- config_name: taobao
data_files:
- split: train
path: taobao/train/*.parquet
- split: test
path: taobao/test/*.parquet
- config_name: twitter
data_files:
- split: train
path: twitter/train/*.parquet
- split: test
path: twitter/test/*.parquet
- config_name: x5-retail
data_files:
- split: train
path: x5-retail/train/*.parquet
- split: test
path: x5-retail/test/*.parquet
- config_name: yambda
data_files:
- split: train
path: yambda/train/*.parquet
- split: test
path: yambda/test/*.parquet
- config_name: zvuk
data_files:
- split: train
path: zvuk/train/*.parquet
- split: test
path: zvuk/test/*.parquet
tags:
- event-sequences
- timeseries
- anomaly-detection
- benchmark
---
# 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](https://github.com/On-Point-RND/ESdB-Embeddings-for-Sequential-data-Benchmark).
## Structure
Each dataset contains `train` and `test` Parquet directories:
```text
<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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