Update README.md

README.md

@@ -8,19 +8,19 @@ task_categories:
 - time-series-forecasting
 ---
 
-# NUSITS: Nanjing University-Siemens Time Series Corpus
+# RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models
 
-This dataset card describes the `main` branch of NUSITS. NUSITS is a large-scale, real-world multivariate time-series corpus for pretraining and benchmarking time-series foundation models (TSFMs). The complete corpus contains around 200 sub-datasets, 2 million original time-series files, 16 billion timesteps, and 142 billion time points across energy, finance, environment, industry, traffic, and other domains.
+This dataset card describes the `main` branch of RMISC. RMISC is a large-scale, real-world multivariate time-series corpus for pretraining and benchmarking time-series foundation models (TSFMs). The complete corpus contains around 200 sub-datasets, 2 million original time-series files, 16 billion timesteps, and 142 billion time points across energy, finance, environment, industry, traffic, and other domains.
 
-- **Project GitHub:** [to be added](https://github.com/TO_BE_FILLED)
-- **Paper:** [to be added](https://arxiv.org/abs/TO_BE_FILLED)
+- **Project GitHub:** [https://github.com/zhangsq-nju/RMISC](https://github.com/zhangsq-nju/RMISC)
+- **Paper:** [todo](todo)
 
 ## 📦 Dataset Packaging & Structure
 
-The `main` branch contains the full NUSITS corpus in Parquet format. To avoid distributing millions of very small files, the original Parquet files within each sub-dataset have been merged into larger files named `part0.parquet`, `part1.parquet`, and so on.
+The `main` branch contains the full RMISC corpus in Parquet format. To avoid distributing millions of very small files, the original Parquet files within each sub-dataset have been merged into larger files named `part0.parquet`, `part1.parquet`, and so on.
 
 ```text
-NUSITS/
+RMISC/
 ├── ApplianceEnergy/
 │   ├── part0.parquet
 │   ├── meta.json
@@ -34,7 +34,7 @@ NUSITS/
 └── ...
 ```
 
-During merging, NUSITS adds an `_original_filename` column to every row. This column stores the stem of the original Parquet filename and makes the merge reversible.
+During merging, RMISC adds an `_original_filename` column to every row. This column stores the stem of the original Parquet filename and makes the merge reversible.
 
 > If you need the original one-file-per-series layout, either restore it with the code below or use the [`zipped_version`](https://huggingface.co/datasets/YOUR_HF_NAMESPACE/YOUR_DATASET_NAME/tree/zipped_version) branch, or use the following memory-efficient parsing script.
 
@@ -47,7 +47,7 @@ from concurrent.futures import ThreadPoolExecutor, as_completed
 from tqdm import tqdm
 
 # Configure the directory where your downloaded datasets are located, and running the code will parse all the datasets in this directory
-TARGET_ROOTS = ['./NUSITS'] 
+TARGET_ROOTS = ['./RMISC'] 
 MAX_WORKERS = 1 
 
 def restore_single_part_file(args):
@@ -161,7 +161,7 @@ snapshot_download(
     repo_type="dataset",
     revision="main",
     allow_patterns=["ApplianceEnergy/*"],
-    local_dir="NUSITS-main",
+    local_dir="RMISC-main",
 )
 ```
 
@@ -174,7 +174,7 @@ snapshot_download(
     repo_id="YOUR_HF_NAMESPACE/YOUR_DATASET_NAME",
     repo_type="dataset",
     revision="main",
-    local_dir="NUSITS-main",
+    local_dir="RMISC-main",
 )
 ```
 
@@ -183,23 +183,23 @@ The full corpus is very large. Ensure that enough disk space is available before
 
 ## Other Branches
 
-- [`zipped_version`](https://huggingface.co/datasets/YOUR_HF_NAMESPACE/YOUR_DATASET_NAME/tree/zipped_version): Full NUSITS corpus in compressed archives, preserving the original file layout.
-- [`smaller_version`](https://huggingface.co/datasets/YOUR_HF_NAMESPACE/YOUR_DATASET_NAME/tree/smaller_version): Smaller, domain-balanced NUSITS subset in Parquet format.
-- [`recommended_corpus`](https://huggingface.co/datasets/YOUR_HF_NAMESPACE/YOUR_DATASET_NAME/tree/recommended_corpus): Recommended pretraining mixture used in the paper.
+- [`zipped_version`](https://huggingface.co/datasets/nju-zhangsq/RMISC/tree/zipped_version): Full RMISC corpus in compressed archives, preserving the original file layout.
+- [`smaller_version`](https://huggingface.co/datasets/nju-zhangsq/RMISC/tree/smaller_version): Smaller, domain-balanced RMISC subset in Parquet format.
+- [`recommended_corpus`](https://huggingface.co/datasets/nju-zhangsq/RMISC/tree/recommended_corpus): Recommended pretraining mixture used in the paper.
 
 ## License
 
-The NUSITS compilation is released under the MIT License. Each source dataset remains governed by its original license, recorded in the corresponding `meta.json`. Users are responsible for reviewing and complying with the terms of every sub-dataset they use.
+The RMISC compilation is released under the MIT License. Each source dataset remains governed by its original license, recorded in the corresponding `meta.json`. Users are responsible for reviewing and complying with the terms of every sub-dataset they use.
 
 ## Citation
 
-If you use NUSITS in your research, please cite:
+If you use RMISC in your research, please cite:
 
 ```bibtex
-@article{sun2026nusits,
-  title   = {NUSITS: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models},
+@article{sun2026rmisc,
+  title   = {RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models},
   author  = {Sun, Qian and Tian, Yong-Ming and Huang, Jia-Wei and Feng, Cheng and Zhang, Shao-Qun},
   journal = {TO DO},
   year    = {2026}
 }
-```
+```