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TiRex-2

Time Series Forecasting
TiRex-2
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Update readme with license and correct datasets

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  1. README.md +4 -6
README.md CHANGED
@@ -1,12 +1,10 @@
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  ---
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  datasets:
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- - autogluon/chronos_datasets
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- - autogluon/fev_datasets
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- - Salesforce/GiftEvalPretrain
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- - Salesforce/GiftEval
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  pipeline_tag: time-series-forecasting
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  library_name: tirex-2
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- license: other
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  ---
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  <div align="left" class="flex items-baseline gap-2">
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  <img src="tirex.svg" alt="TiRex mascot" width="33" height="40" />
@@ -74,4 +72,4 @@ Alongside this pretrained checkpoint we also provide three other versions:
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  datasets ([pretrain](https://huggingface.co/datasets/Salesforce/GiftEvalPretrain) and [evaluation](https://huggingface.co/datasets/Salesforce/GiftEval)).
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  - [TiRex-2-gp](https://huggingface.co/NX-AI/TiRex-2-gifteval-pretrain): here we included the [GiftEval-Pretrain collection](https://huggingface.co/datasets/Salesforce/GiftEvalPretrain) in our pretraining corpus.
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  - [TiRex-2-f](https://huggingface.co/NX-AI/TiRex-2-fevbench): for the fev-benchmark we took the same measures as for
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- GiftEval and removed all [fev-bench eval datasets](https://huggingface.co/datasets/autogluon/fev_datasets) from our pretraining corpus to produce this checkpoint.
 
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  ---
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  datasets:
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+ - autogluon/chronos_datasets
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+ - Salesforce/lotsa_data
 
 
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  pipeline_tag: time-series-forecasting
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  library_name: tirex-2
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+ license: apache-2.0
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  ---
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  <div align="left" class="flex items-baseline gap-2">
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  <img src="tirex.svg" alt="TiRex mascot" width="33" height="40" />
 
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  datasets ([pretrain](https://huggingface.co/datasets/Salesforce/GiftEvalPretrain) and [evaluation](https://huggingface.co/datasets/Salesforce/GiftEval)).
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  - [TiRex-2-gp](https://huggingface.co/NX-AI/TiRex-2-gifteval-pretrain): here we included the [GiftEval-Pretrain collection](https://huggingface.co/datasets/Salesforce/GiftEvalPretrain) in our pretraining corpus.
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  - [TiRex-2-f](https://huggingface.co/NX-AI/TiRex-2-fevbench): for the fev-benchmark we took the same measures as for
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+ GiftEval and removed all [fev-bench eval datasets](https://huggingface.co/datasets/autogluon/fev_datasets) from our pretraining corpus to produce this checkpoint.