diff --git a/README.md b/README.md index 46324789767bb95f4304f2a50d752f45a42185f9..37bf1f491ada081c40559da7c32c00787e9636bf 100644 --- a/README.md +++ b/README.md @@ -919,7 +919,19 @@ dataset_info: dataset_size: 57560596 license: Apache 2.0 homepage: https://github.com/mbohlkeschneider/gluon-ts/tree/mv_release/datasets -- config_name: tsmixup_10m +- config_name: training_corpus_kernel_synth_1m + features: + - name: target + sequence: float64 + - name: id + dtype: string + - name: timestamp + sequence: timestamp[ms] + splits: + - name: train + num_examples: 1000000 + download_size: 8313239368 +- config_name: training_corpus_tsmixup_10m features: - name: target sequence: float64 @@ -1566,10 +1578,14 @@ configs: data_files: - split: train path: taxi_30min/train-* -- config_name: tsmixup_10m +- config_name: training_corpus_kernel_synth_1m + data_files: + - split: train + path: training_corpus/kernel_synth_1m/train-* +- config_name: training_corpus_tsmixup_10m data_files: - split: train - path: tsmixup_10m/train-* + path: training_corpus/tsmixup_10m/train-* - config_name: uber_tlc_daily data_files: - split: train @@ -1731,12 +1747,12 @@ or, for the largest datasets like `weatherbench_hourly_temperature`, reading the ds = datasets.load_dataset("autogluon/chronos_datasets", "weatherbench_hourly_temperature", streaming=True, split="train") ``` -## Chronos training set with TSMixup -The dataset used for training the Chronos model (including KernelSynth synthetic data + TSMixup augmentations) can be loaded via the config `tsmixup_10m` +## Chronos training corpus with TSMixup & KernelSynth +The training corpus used for training the Chronos models can be loaded via the configs `training_corpus_tsmixup_10m` (10M TSMixup augmentations of real-world data) and `training_corpus_kernel_synth_1m` (1M synthetic time series generated with KernelSynth), e.g., ```python -ds = datasets.load_dataset("autogluon/chronos_datasets", "tsmixup_10m", streaming=True, split="train") +ds = datasets.load_dataset("autogluon/chronos_datasets", "training_corpus_tsmixup_10m", streaming=True, split="train") ``` -Note that since data in the `tsmixup_10m` config was obtained by combining various synthetic & real-world time series, the timestamps contain dummy values that have no connection to the original data. +Note that since data in the training corpus was obtained by combining various synthetic & real-world time series, the timestamps contain dummy values that have no connection to the original data. ## License diff --git a/tsmixup_10m/train-00000-of-00200.parquet b/training_corpus/tsmixup_10m/train-00000-of-00200.parquet similarity index 100% rename from tsmixup_10m/train-00000-of-00200.parquet rename to training_corpus/tsmixup_10m/train-00000-of-00200.parquet diff --git a/tsmixup_10m/train-00001-of-00200.parquet b/training_corpus/tsmixup_10m/train-00001-of-00200.parquet similarity index 100% rename from tsmixup_10m/train-00001-of-00200.parquet rename to 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