Improve model card: add paper info and base model metadata

README.md

@@ -1,4 +1,17 @@
 ---
+license: apache-2.0
+pipeline_tag: time-series-forecasting
+base_model:
+- amazon/chronos-2
+- google/timesfm-2.5-200m-pytorch
+- ibm-research/flowstate
+- NX-AI/TiRex-1.1-gifteval
+- ibm-research/patchtst-fm-r1
+- Datadog/Toto-2.0-4m
+- Datadog/Toto-2.0-22m
+- Datadog/Toto-2.0-313m
+- Datadog/Toto-2.0-1B
+- Datadog/Toto-2.0-2.5B
 tags:
 - time-series-forecasting
 - foundation-models
@@ -10,31 +23,38 @@ tags:
 - ensemble
 - meta-learning
 - gift-eval
-license: apache-2.0
-pipeline_tag: time-series-forecasting
+- xgboost
 thumbnail: https://corp.dd-static.net/img/about/presskit/kit/press_kit.png
 model-index:
 - name: Toto-2.0-Family-and-Friends
   results:
-    - task:
-        type: time-series-forecasting
-      dataset:
-        name: GIFT-Eval
-        type: GIFT-Eval
-      metrics:
-        - name: CRPS
-          type: CRPS
-          value: 0.463
-        - name: MASE
-          type: MASE
-          value: 0.676
-      source:
-        name: GIFT-Eval Time Series Forecasting Leaderboard
-        url: https://huggingface.co/spaces/Salesforce/GIFT-Eval
+  - task:
+      type: time-series-forecasting
+    dataset:
+      name: GIFT-Eval
+      type: GIFT-Eval
+    metrics:
+    - type: CRPS
+      value: 0.463
+      name: CRPS
+    - type: MASE
+      value: 0.676
+      name: MASE
+    source:
+      url: https://huggingface.co/spaces/Salesforce/GIFT-Eval
+      name: GIFT-Eval Time Series Forecasting Leaderboard
 ---
 
 # Toto 2.0 Family-and-Friends (FnF)
 
+This repository contains the benchmarking ensemble model introduced in the paper [Toto 2.0: Time Series Forecasting Enters the Scaling Era](https://huggingface.co/papers/2605.20119).
+
+**Authors**: Emaad Khwaja, Chris Lettieri, Gerald Woo, Eden Belouadah, Marc Cenac, Guillaume Jarry, Enguerrand Paquin, Xunyi Zhao, Viktoriya Zhukov, Othmane Abou-Amal, Chenghao Liu, Ameet Talwalkar, and David Asker.
+
+**Resources**: [Technical Report](https://arxiv.org/abs/2605.20119) | [GitHub](https://github.com/DataDog/toto) | [Project Page](https://www.datadoghq.com/blog/ai/toto-2/)
+
+---
+
 > [!WARNING]
 > **This is a benchmarking artifact, not a general-purpose model.**
 > Toto-2.0-FnF is an FFORMA-style XGBoost meta-learner over 10 foundation models that we submitted to the GIFT-Eval leaderboard. The bundle ships pre-computed predictions for the GIFT-Eval test split and exists to make the **#1** submission fully reproducible — it cannot forecast new series without first running every base model.
@@ -131,4 +151,4 @@ Each base model's predictions were generated by running its standard GIFT-Eval n
       primaryClass={cs.LG},
       url={https://arxiv.org/abs/2605.20119}, 
 }
-```
+```