Update README.md

README.md

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 **Chronos-2** is a 120M-parameter, encoder-only time series foundation model for zero-shot forecasting.
 It supports **univariate**, **multivariate**, and **covariate-informed** tasks within a single architecture.
 Inspired by the T5 encoder, Chronos-2 produces multi-step-ahead quantile forecasts and uses a group attention mechanism for efficient in-context learning across related series and covariates.
-Trained on large-scale synthetic datasets, it achieves **state-of-the-art zero-shot accuracy** among public models on [**fev-bench**](https://huggingface.co/spaces/autogluon/fev-leaderboard), [**GIFT-Eval**](https://huggingface.co/spaces/Salesforce/GIFT-Eval), and [**Chronos Benchmark II**](https://arxiv.org/abs/2403.07815).
+Trained on a combination of real-world and large-scale synthetic datasets, it achieves **state-of-the-art zero-shot accuracy** among public models on [**fev-bench**](https://huggingface.co/spaces/autogluon/fev-leaderboard), [**GIFT-Eval**](https://huggingface.co/spaces/Salesforce/GIFT-Eval), and [**Chronos Benchmark II**](https://arxiv.org/abs/2403.07815).
 Chronos-2 is also **highly efficient**, delivering over 300 time series forecasts per second on a single A10G GPU and supporting both **GPU and CPU inference**.
 
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