|
Download README.md from On-Point-Rnd/ESdB-Embeddings-for-Sequential-data-Benchmark: direct link, hf CLI and curl.
- Browser
- Download file 3.5 kB
-
https://huggingface.co/datasets/On-Point-Rnd/ESdB-Embeddings-for-Sequential-data-Benchmark/resolve/main/README.md
- Command line
-
hf download hf://datasets/On-Point-Rnd/ESdB-Embeddings-for-Sequential-data-Benchmark/README.md
-
curl -L -o README.md https://huggingface.co/datasets/On-Point-Rnd/ESdB-Embeddings-for-Sequential-data-Benchmark/resolve/main/README.md
3.5 kB
| 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. | |