Add TsFile (converted from autobio-bench/insert-mujoco)

README.md

@@ -1,10 +1,15 @@
 ---
 license: mit
+task_categories:
+- robotics
 tags:
 - tsfile
 - timeseries
-- format:tsfile
 - time-series
+- format:tsfile
+pretty_name: insert_mujoco
+size_categories:
+- 10K<n<100K
 configs:
 - config_name: default
   data_files:
@@ -12,26 +17,15 @@ configs:
     path: data/insert_mujoco.tsfile
 ---
 
-# insert_mujoco
-
-Converted from the Hugging Face dataset [`autobio-bench/insert-mujoco`](https://huggingface.co/datasets/autobio-bench/insert-mujoco) to Apache TsFile format.
-
-## Source Dataset
+# insert_mujoco (TsFile)
 
-- **Original dataset:** [`autobio-bench/insert-mujoco`](https://huggingface.co/datasets/autobio-bench/insert-mujoco)
-- **Authors:** autobio-bench
-- **License:** mit
+Apache TsFile version of [`autobio-bench/insert-mujoco`](https://huggingface.co/datasets/autobio-bench/insert-mujoco).
 
-## Conversion Notes
-
-- Conversion mode: `script`
-- Time precision: `ms`
-- TsFile data files: `['data/insert_mujoco.tsfile']`
-- Converter: `scripts/converters/lerobot.py`
+- **Converted rows:** 55,127
+- **Data files:** `['data/insert_mujoco.tsfile']`
 
 ## Usage
 
-
 Install the Apache TsFile Python SDK (`pip install tsfile`) and read a converted file:
 
 ```python
@@ -56,4 +50,10 @@ with TsFileReader(str(path)) as reader:
             batch = result.read_arrow_batch()
             if batch is not None:
                 print(batch.to_pandas().head())
-```
+```
+
+## Source & license
+
+- Original dataset: https://huggingface.co/datasets/autobio-bench/insert-mujoco
+- Author / publisher: autobio-bench
+- License: mit