--- 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 /train/ /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.