Update README.md

README.md

@@ -1,20 +1,47 @@
----
-license: apache-2.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-dataset_info:
-  features:
-  - name: Timestamp
-    dtype: timestamp[ns, tz=+09:00]
-  - name: DcDiffAvg
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 1600752
-    num_examples: 100047
-  download_size: 1452329
-  dataset_size: 1600752
----
+---
+license: apache-2.0
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+dataset_info:
+  features:
+  - name: Timestamp
+    dtype: timestamp[ns, tz=+09:00]
+  - name: DcDiffAvg
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 1600752
+    num_examples: 100047
+  download_size: 1452329
+  dataset_size: 1600752
+tags:
+- ethercat
+- dcdiff
+- anomaly
+pretty_name: wmx_master_stat_dcdiff
+---
+# Dataset Card for Dataset Name
+
+<!-- Provide a quick summary of the dataset. -->
+
+This dataset card aims to train an LSTM autoencoder model to detect anomalies of DC diff statistics calculated by the [WMX Ethercat master](https://www.movensys.com/en/products/software_motion_control/wmx_en).
+
+## Dataset Details
+
+The data frame has two columns consisting of "Timestamp" and "DcDiffAvg".
+
+Every cycle is done, the average time interval to the next DC clock for each cycle is cacluated in ns, and this value shows a peculiar sawtooth pattern as follows. 
+Using this dataset **the autoencoder model** can be trained *to detect anomalies in case of unstable communication between the master(Main device) and sub-devices*.
+
+
+
+### Dataset Description
+
+
+## Uses
+
+Add Github notebook link
+<!-- Address questions around how the dataset is intended to be used. -->