Add TSMixup 10M training set

README.md

@@ -919,6 +919,18 @@ dataset_info:
   dataset_size: 57560596
   license: Apache 2.0
   homepage: https://github.com/mbohlkeschneider/gluon-ts/tree/mv_release/datasets
+- config_name: tsmixup_10m
+  features:
+  - name: target
+    sequence: float64
+  - name: id
+    dtype: string
+  - name: timestamp
+    sequence: timestamp[ms]
+  splits:
+  - name: train
+    num_examples: 10000000
+  download_size: 82189589906
 - config_name: uber_tlc_daily
   features:
   - name: id
@@ -1554,6 +1566,10 @@ configs:
   data_files:
   - split: train
     path: taxi_30min/train-*
+- config_name: tsmixup_10m
+  data_files:
+  - split: train
+    path: tsmixup_10m/train-*
 - config_name: uber_tlc_daily
   data_files:
   - split: train
@@ -1715,6 +1731,14 @@ 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`
+```python
+ds = datasets.load_dataset("autogluon/chronos_datasets", "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.
+
+
 ## License
 Different datasets available in this collection are distributed under different open source licenses. Please see `ds.info.license` and `ds.info.homepage` for each individual dataset.