test

HZMETRO/HZMETRO_dataset_info.json

@@ -0,0 +1,52 @@
+{
+  "builder_name": "generator",
+  "citation": "",
+  "config_name": "default",
+  "dataset_name": "HZMETRO",
+  "dataset_size": 1523590,
+  "description": "",
+  "download_checksums": {},
+  "download_size": 0,
+  "features": {
+    "item_id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "start": {
+      "dtype": "timestamp[s]",
+      "_type": "Value"
+    },
+    "freq": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "feature": {
+        "feature": {
+          "dtype": "float32",
+          "_type": "Value"
+        },
+        "_type": "Sequence"
+      },
+      "length": 2,
+      "_type": "Sequence"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "size_in_bytes": 1523590,
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 1523590,
+      "num_examples": 80,
+      "dataset_name": "generator"
+    }
+  },
+  "version": {
+    "version_str": "0.0.0",
+    "major": 0,
+    "minor": 0,
+    "patch": 0
+  }
+}

HZMETRO/HZMETRO_state.json

@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "75440d0031d0edfe",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": "train"
+}

HZMETRO/data-00000-of-00001 (3).arrow

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8b8e905d38abf439a6eb132f367b9156f39c978e69de122af216420d6f5117db
+size 1524752

README.md

@@ -6,6 +6,13 @@ configs:
   - split: train
     path: "*/*.arrow"
 - config_name: "BEIJING_SUBWAY_30MIN"
+  data_files:
+  - split: train
+    path: "BEIJING_SUBWAY_30MIN/*.arrow"
+- config_name: "HZMETRO"
+  data_files:
+  - split: train
+    path: "HZMETRO/*.arrow"
 ---
 # NetMan Time Series Repo
 The Netman Time Series Repo is a collection of open time series datasets for time series forecasting. It was collected for the purpose of pre-training Large Time Series Models.