Update repo URL to anonymous.4open.science (anonymity hardening)

README.md

@@ -117,7 +117,7 @@ for the TSFMI baseline-controlled probing protocol.
 > Companion data for the NeurIPS 2026 Evaluations & Datasets Track submission
 > *"TSFMI: A Baseline-Controlled Evaluation Protocol for Time-Series Foundation
 > Model Representations."* The code (anonymous) lives at
-> https://github.com/evaldataset/TSFMI.
+> https://anonymous.4open.science/r/TSFMI.
 
 ## Why this dataset exists
 
@@ -152,7 +152,7 @@ artefacts in the paper.
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("evaldataset/TSFMI", "anomaly")
+ds = load_dataset("EvalData/TSFMI", "anomaly")
 print(ds)
 # DatasetDict({
 #   train: 600, validation: 200, test: 200
@@ -170,10 +170,11 @@ Each row contains:
 ## Reproduction recipe
 
 The same 60/20/20 + 5-seed + bootstrap protocol used in the paper is
-implemented in [the GitHub repository](https://github.com/evaldataset/TSFMI):
+implemented in [the GitHub repository](https://anonymous.4open.science/r/TSFMI):
 
 ```bash
-git clone https://github.com/evaldataset/TSFMI.git && cd TSFMI
+curl -L -o TSFMI.zip "https://anonymous.4open.science/api/repo/TSFMI/zip"
+unzip TSFMI.zip && cd TSFMI
 python -m venv .venv && source .venv/bin/activate
 pip install -r requirements.txt && pip install -e ".[dev]"
 
@@ -216,7 +217,7 @@ original licenses; see the GitHub `LICENSE` file for details.
   author = {Anonymous Authors},
   howpublished = {Anonymous submission to the NeurIPS 2026 Evaluations \& Datasets Track},
   year = {2026},
-  url = {https://github.com/evaldataset/TSFMI}
+  url = {https://anonymous.4open.science/r/TSFMI}
 }
 ```