Update README.md

README.md

@@ -10,7 +10,7 @@ task_categories:
 
 # RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models
 
-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.
+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:** [https://github.com/zhangsq-nju/RMISC](https://github.com/zhangsq-nju/RMISC)
 - **Paper:** [https://arxiv.org/abs/2607.06504](https://arxiv.org/abs/2607.06504)
@@ -36,7 +36,7 @@ RMISC/
 
 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/nju-zhangsq/RMISC/tree/zipped_version) branch, or use the following memory-efficient parsing script.
+> 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/nju-zhangsq/RMISC/tree/zipped_version) branch.
 
 ```python
 import os